Search Results for: Linear and Nonlinear Regression Analyses

The Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability (STRIDES) Initiative The STRIDES Initiative aims to help NIH and its institutes, centers, and offices (ICOs) accelerate biomedical research by reducing barriers in utilizing Read More...

The NIH Center for Human Immunology, Inflammation, and Autoimmunity (CHI) is a trans-NIH resource whose mission is to provide a collaborative hub of advanced translational immunology for NIH clinical and pre-clinical studies. This uniquely structured Read More...

CREx News & Updates November 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight FACILITY HIGLIGHTS Learn more about services from the NINDS Quantitative Magnetic Resonance Imaging Core. NINDS Read More...

The Genomics and Pharmacology Facility is part of the NCI's Center for Cancer Research (CCR), within the Developmental Therapeutics Branch. Its mission is to manage and assess molecular interaction data obtained through multiple platforms, increase Read More...

Back Services: Biophysics Facility offers DLS as an open-access instrument. First-time users must complete a short training session before gaining access to the instrument reservation calendar. Training includes DLS analysis of small- and large-molecular size Read More...

Our operational objectives are to provide state-of-the-art OMICS technologies in support of the Genetics Branch (GB) investigators and collaborators. Research Services Wet Lab Single cell isolation from fresh, frozen, and FFPE tissue, DNA/RNA extractions Read More...

02/29/2024 - This class provides an overview of the methods used to visualize the association among two or more quantitative variables. This class will focus on scatterplots, scatterplot matrix, and visualizing paired data. Upon completion of Read More...

12/05/2023 - This class provides an overview of the methods used to visualize the association among two or more quantitative variables. This class will focus on scatterplots, scatterplot matrix, and visualizing paired data. Upon completion of Read More...

Logistic regression is a machine learning algorithm used for classification, predicting the probability of a binary outcome (like Yes/No, 0/1, Spam/Not Spam) based on input variables, fitting an S-shaped curve (sigmoid or logistic) to Read More...

08/13/2024 - This session will cover the basics of linear mixed-effects modeling as a method of regression analysis for clustered data. Special emphasis will be on the ideas behind random-intercepts and random-slopes modeling, and the discussion Read More...

The role of cell clustering is to identify cells with similar transcriptomic profiles by computing Euclidean distances across genes . However, scRNA-Seq experiments include highly dimensional data, with each cell associated with the expression of thousands Read More...

09/13/2024 - This course provides an introduction to data analysis using R, focusing on conducting various statistical tests and generating commonly used statistical regression models. Participants will learn how to perform hypothesis testing, calculate descriptive statistics, Read More...

01/27/2026 - This is the third class of the Statistical Analysis of Research Data (SARD) series offered by NCI Center for Cancer Training. Here, participants will learn about: Bivariate statistics Linear regression Regression diagnostics This class Read More...

09/11/2024 - Qlucore Omics Explorer is a point-and-click package available to NCI CCR scientists that enables visualization-based analysis of multi-omics data including RNA-seq, scRNA-seq, proteomics, metabolomics, as well as enabling the use of machine learning classification Read More...

04/30/2020 - SSSC Seminar: Dimension Reduction Methods: from PCA to TSNE and UMAP In this seminar series, I will review some basic concepts of statistical analyses that are commonly used in everyday research. I will talk Read More...

04/23/2020 - SSSC Seminar:Dimension Reduction Methods: from PCA to TSNE and UMAP In this seminar series, I will review some basic concepts of statistical analyses that are commonly used in everyday research. I will talk Read More...

04/16/2020 - SS/SC Seminar: Dimension Reduction Methods: from PCA to TSNE and UMAP In this seminar series, I will review some basic concepts of statistical analyses that are commonly used in everyday research. I will Read More...

12/04/2024 - Galaxy is a web-based computational workbench for analyzing and visualizing biomedical datasets that is used by thousands of scientists daily.   Galaxy enables accessible, reproducible, and scalable biomedical data science by any scientist Read More...

10/23/2024 - CellMinerCDB is an interactive public web application ( https://discover.nci.nih.gov/cellminercdb/ ) that simplifies access and exploration of cancer cell line pharmacogenomic data across different sources such as the National Cancer Institute (NCI), Read More...

01/14/2025 - In this talk, we will cover the basics of survival analysis as a statistical methodology developed for censored data. Special emphasis will be on visualizing survival data, comparing survival-time distributions for subject groups, and Read More...

Principal component analysis (PCA) is a linear dimension reduction method applied to highly dimensional data. The goal of PCA is to reduce the dimensionality of the data by transforming the data in a way that Read More...

02/27/2024 - This session will cover what are containers, and why and how to use them in your Bioinformatics workflows. We will review best practices, basic commands, and useful resources. This session is geared towards beginners.& Read More...

06/20/2024 - What are common statistical analyses for continuous data? Can you check whether your continuous outcome is normally distributed? What are the methods when the data are not normal? How do you model the outcome Read More...

Luckily, there is a q2-longitudinal plugin to handle dependent longitudinal data. The q2-longitudinal plugin includes: interactive plotting (e.g., volatility plots) linear mixed effects models paired differences and distances non-metric microbial interdependence testing ( Read More...

Because we build plots using layers in ggplot2. We can add multiple geoms to a plot to represent the data in unique ways. #We can combine geoms; here we combine a scatter plot with a # Read More...

Qlucore Omics Explorer (Qlucore) is a graphical user interface (GUI) based package used to generate visualizations, elucidate biological function, and classify samples as well as cells for omics data. {{Sdet}}{{Ssum}}Listing of Analysis Functions{{ Read More...

Correlation analysis refers to a group of statistical methods used to discover the relationship between two or more variables of interest. Common methods of correlation are included in the table below. Methods R function Description Read More...

04/09/2026 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering several trainings that cover general concepts behind statistics and epidemiology. These trainings will help participants Read More...

03/17/2025 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering a several trainings that cover general concepts behind statistics and epidemiology. These trainings will help Read More...

03/19/2026 - In this talk, Dr. Carey will describe how Bioconductor approaches new challenges in supporting open method development and reproducible analyses in genomic data science. He will discuss aspects of the project that bear on Read More...

01/29/2026 - In the final class of the Statistical Analysis of Research Data (SARD) series offered by NCI Center for Cancer Training participants will learn about: Multivariant data analysis Regression Non-parametric tools Goodness of fit tests Read More...

03/12/2025 - Clustering is one of the fundamental unsupervised machine learning algorithms. It is often used to group quantitative proteomic or RNAseq expression data to suggest sub-types of a particular cancer. This presentation covers building a Read More...

12/03/2024 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering classes geared to cover general concepts behind statistics and epidemiology. This four-part lecture series will Read More...

08/08/2024 - What are common statistical analyses for binary data? What is the distribution of your binary dependent variable? What is the difference from normally distributed data? How do you model the binary outcome with multiple Read More...

R is a particularly great resource for statistical analyses, plotting, and report generating. The fact that it is widely used means that users do not need to reinvent the wheel. There is a package available Read More...

Lesson 5: Microbial diversity, alpha rarefaction, alpha diversity Learning Objectives Understand the difference between alpha and beta diversity Introduce several alpha diversity metrics Understand what rarefaction is and why it is important Introduce the debate regarding Read More...

12/20/2016 - ABOUT THE COURSE R is a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series Read More...

11/22/2016 - ABOUT THE COURSE R is a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series Read More...

There are many packages and functions available in R programming for performing PCA. Some of the most popular functions are stats::prcomp(), stats::princomp(), FactoMineR::PCA(), and ade4::dudi.pca(). These functions largely differ in Read More...

02/19/2026 - Dr. John Quackenbush, a Harvard professor and NCI grantee, will describe the conceptual framework for these network tools, demonstrate some practical applications, and explain how they can help you tackle complex biological questions about Read More...

02/10/2026 - In his seminal 2001 paper, the famous statistician Leo Breiman juxtaposed the inferential approach and the predictive approach to statistical analysis. I will begin this lecture with an overview of these two approaches. Then, I Read More...

10/09/2025 - This one-hour online training introduces attendees to modeling and simulation of biological systems using MATLAB’s SimBiology and BioPipeline Designer toolboxes. SimBiology is a versatile toolbox for modeling, simulating, and analyzing dynamic Read More...

07/23/2025 - The QIIME platform, including QIIME 1 and QIIME 2, has been extensively applied in microbiome research, repeatedly making analyses that were once challenging or impossible into routine tasks. While QIIME began as a marker gene (e. Read More...

03/19/2025 - This one hour and a half online training provides an accessible introduction to artificial intelligence (AI) using MATLAB. Designed for beginners, the session covers fundamental concepts in AI and machine learning, introduces intuitive tools Read More...

10/08/2024 - We will cover recently developed statistical approaches to the classification of BRCA2 variants using the functional-assay data generated by our NCI collaborators (Dr. Sharan’s lab). Our main objective is to illustrate how statistical Read More...

07/09/2024 - In this BTEP training session, participants will learn about the R and Python programming languages including how each is used in bioinformatics research. The advantages of each language will be discussed as well as Read More...

06/27/2024 - During this presentation, you will learn about the GenePattern ecosystem, an environment for accessible, reproducible research that has been serving the needs of the cancer genomics community since 2004. GenePattern hosts hundreds of genomics analysis Read More...

R is both a computational language and environment for statistical computing and graphics. It is open-source and widely used by scientists, not just bioinformaticians. Base packages of R are built into your initial installation, but Read More...

readRDS("./data/diffexp_results_edger_airways.rds") |> #read data select(transcript, logFC, FDR) |> #select columns of interest filter(transcript == "TSPAN6" | transcript=="DPM1" ) |> #filter ggplot(aes(x= Read More...

::: {.cell} readRDS ( "./data/diffexp_results_edger_airways.rds" ) |> #read data select ( transcript , logFC , FDR ) |> #select columns of interest filter ( transcript == "TSPAN6" | transcript == "DPM1" ) |> #filter ggplot ( aes ( Read More...

In genomics, we work with a lot of tabular data - data organized in rows and columns. The data structure that stores this type of data is a data frame . Data frames are collections of Read More...

Learning Objectives This tutorial was designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples. Throughout this tutorial we Read More...

09/22/2015 - Learn the basics of microarray gene expression analysis using Partek Genomics Suite and Open Source Tools. As we walk though hands-on analysis of a cancer dataset, you will learn the principles of experimental design, Read More...

02/12/2026 - Knowledge of Unix command line is advantageous for scientists who are new to bioinformatics, as many tools are designed to run on Unix-like systems. High performance computing systems (e.g., NIH Biowulf) also require Read More...

02/12/2026 - Knowledge of Unix command line is advantageous for scientists who are new to bioinformatics, as many tools are designed to run on Unix-like systems. High performance computing systems (e.g., NIH Biowulf) also require Read More...

01/13/2026 - The past decade has witnessed thriving cell atlas research activities in elucidating human cell types and their organization principles. The NIH BRAIN Initiative launched a pilot 3-year BRAIN Initiative Cell Census Consortium (BICCC) in 2014, Read More...

12/11/2025 - This talk will focus on analyses of the Patient Outcomes Repository for Treatment (PORT) which is a large registry of chronic pain treatment outcomes from patients seen in the pain clinics at the University Read More...

12/02/2025 - If you are looking for computational tools for your cancer research, join us for this upcoming training session on Galaxy, an open-source and browser-based computational platform. Dr. Jeremy Goecks, an NCI grantee and Assistant Read More...

08/21/2025 - This class provides an overview of the R and Python programming languages, and how each is used in bioinformatics research. Participants will learn the advantages of each language and how to choose which is Read More...

06/03/2025 - Class Description Introduction to RNA-Seq data analysis Step-by-step live demonstration of RNA-Seq analysis using the Galaxy platform   What You’ll Learn: How to independently carry out the basic gene expression Read More...

03/21/2025 - Partek Flow is a point-and-click software for analyzing multi-omics sequencing data including DNA, bulk and single cell RNA, spatial transcriptomics, ATAC and ChIP. Input options include FASTQ, BAM, or expression tables, thus enabling scientists Read More...

03/13/2025 - UCSC Xena showcases seminal cancer genomics datasets from The Cancer Genome Atlas (TCGA) and the Pan-Cancer Atlas, as well as the Genomic Data Commons, Pan-cancer Atlas of Whole Genomes, and the International Cancer Genome Read More...

02/25/2025 - Quality assessment may reveal low quality sequences and/or contaminations such as adapters in NGS data. Therefore, it is important to perform cleanup to ensure that the input for downstream analyses tools is of Read More...

01/22/2025 - This three hour online training covers QIAGEN’s CLC Genomics Workbench enables researchers to analyze NGS data without the use of command line and is a powerful tool for determining differential expression. Read More...

01/14/2025 - This one-hour online training will cover a basic overview of the functionality of R programming language and RStudio. R is a programming language and open-source environment for statistical computing and graphics. & Read More...

01/10/2025 - NIH DIRECTORS SEMINAR SERIES In this presentation, Dr. Scholz will discuss the approach to tackling complex neurodegenerative diseases using modern genomic tools, focusing on Lewy body dementia, a major research area in her lab. Read More...

12/17/2024 - In this one-hour session we will describe resources available to NIH researchers for performing bioinformatics data analysis. These include trainings by specific groups or institutes (NCI, NIH Library, ODSS), licenses available for online learning ( Read More...

12/12/2024 - Knowledge of Unix command line is advantageous for scientists who are new to bioinformatics, as many tools are designed to run on Unix-like systems. High performance computing systems (e.g., NIH Biowulf) also require Read More...

11/04/2024 - This one-hour interactive training will cover how to use the ScHARe cloud and Terra platform focusing on how to utilize over 260 social determinants of health (SDoH) data sets and analytic notebooks containing ready-to-use code. Read More...

11/01/2024 - A hands-on workshop for analyzing metagenomes in the open-source microbiome application Nephele. Participants will first learn how to navigate Nephele and process their reads to trim and filter for quality. They will then learn Read More...

10/09/2024 - This session will give an overview of the NCI Cancer Research Data Commons and the variety of available cancer data such as RNA expression and protein abundance. These data are hosted in openly accessible Read More...

09/12/2024 - Telomere to telomere (T2T) genome assemblies represent a paradigm shift in comparative genomics, offering insights into chromosome structure, evolution, and function at the highest resolution. Dr. O'Neill's lab has made recent Read More...

09/12/2024 - This one-hour online training will cover a basic overview of the functionality of R programming language and RStudio. R is a programming language and open-source environment for statistical computing and graphics. & Read More...

07/25/2024 - Join us for an informative webinar on the GARDE software where Dr. Del Fiol will describe how GARDE works, how GARDE has been implemented to support population-based genetic testing, the GARDE chatbot, and results Read More...

07/24/2024 - Knowledge of Unix command line is advantageous for scientists who are new to bioinformatics, as many tools are designed to run on Unix-like systems. High performance computing systems (e.g., NIH Biowulf) also require Read More...

07/24/2024 - Partek Flow enables scientists to construct analysis workflows for multi-omics sequencing data including DNA, bulk and single cell RNA, spatial transcriptomics, ATAC and ChIP. It is hosted on Biowulf, the NIH high performance computing Read More...

Following normalization, the next step is to find variable features. In most scRNA-seq experiments only a small proportion of the genes will be informative and biologically variable. A subset of cells with high cell to Read More...

Clustering is used to group cells by similar transcriptomic profiles. Seurat uses a graph based clustering method. You can read more about it here . The first step is to compute the nearest neighbors of each Read More...

The goal of quality control is to keep only high quality cells (i.e., remove low quality cells (dead or dying cells), cell-free RNA, or doublets). Low quality cells will impact downstream analyses. Take care Read More...

The total number of detected transcripts expressed in a cell is dependent on the amount of mRNA in a cell. Cells naturally vary in the total amount of mRNA expressed. However, the chemistry of the Read More...

05/15/2024 - In this one-hour webinar, you'll get a demonstration of DNASTAR Lasergene Software. DNASTAR offers software solutions for molecular biology, protein analysis, and genomics. This presentation will focus on an overview of the applications Read More...

05/09/2024 - This is the first class in the NIH Library Introduction to R Series. This class provides a basic overview of the functionality of R programming language and RStudio. R is Read More...

04/26/2024 - Dear Colleagues,    In this webinar, you'll get an introduction to WebMeV. WebMeV aims to democratize bioinformatics analysis for biological sciences researchers.   The maturation of many bioinformatics processes Read More...

04/12/2024 - This session will outline the All of Us Researcher Workbench registration process for NIH researchers. Access to the Researcher Workbench is free, and all registered researchers are provided $300 initial computational credits. Some analyses in Read More...

03/13/2024 - Dear Colleagues,    UCSC Xena is a web-based visual integration and exploration tool for multi-omic data and associated clinical and phenotypic annotations.   Xena showcases seminal cancer genomics datasets from Read More...

Log into Partek Flow at https://partekflow.cit.nih.gov/flow . This example will use the nci_ccr_sf_example_scrna project, so click on it. Click on "Add data". Select Single cell, Read More...

02/21/2024 - https://cap-lab.bio (link is external) https:// (link is external) qiime2.org (link is external) The QIIME platform, including QIIME 1 and QIIME 2 ( https://qiime2.org (link is external) ), has been extensively applied in microbiome Read More...

R Crash Course: A few things to know before diving into wrangling Learning the Basics Objectives 1. Learn about R objects 3. Learn how to recognize and use R functions 4. Learn about data types and accessors Console Read More...

Scatter plots and plot customization Objectives Learn to customize your ggplot with labels, axes, text annotations, and themes. Learn how to make and modify scatter plots to make fairly different overall plot representations. Load a Read More...

Introduction to ggplot2 Objectives Learn how to import spreadsheet data. Learn the ggplot2 syntax. Build a ggplot2 general template. By the end of the course, students should be able to create simple, pretty, and effective Read More...

05/22/2017 - Driven by the decreasing costs and increasing performance of next-generation sequencing (NGS) technologies, the amount of available genomic data has grown exponentially in recent years.  While most of the analyses of these data is Read More...

Most BTEP courses include detailed course materials including lesson content, additional resources, and lesson associated data. These course materials are listed here so that learners can easily return to and review concepts taught in class Read More...

nf-core is a community effort to generate a curated set of standardized, best-practice, reproducible, documented, NGS analysis pipelines. All these workflows are built using the versatile workflow manager, Nextflow , and have been released under the Read More...

General questions or comments about the BTEP program or classes should be addressed to: NCIBTEP@nih.gov Amy Stonelake, Ph.D . BTEP Program Manager and Bioinformatics Analyst amy.stonelake@nih.gov I am an experienced Read More...

Listed below are the video recordings of past BTEP events (classes, seminars, workshops). Videos are hosted on various servers and may play slightly differently. Some videos may be downloaded for local viewing. Recorded Videos of Read More...

What is bioinformatics? Bioinformatics integrates biology, statistics, and computer science to develop and apply theory, methods, and tools for the collection, storage, and analysis of biological and related data. Bioinformatics plays a critical role in Read More...

11/19/2024 - Partek Flow enables scientists to construct analysis workflows for multi-omics sequencing data including DNA, bulk and single cell RNA, spatial transcriptomics, ATAC and ChIP. It is a point-and-click software hosted on Biowulf, the NIH Read More...

Cancer research is a complex and data-intensive field. Cloud computing offers a powerful solution for researchers to store, analyze, and share large datasets efficiently. In this month’s topic spotlight, we will explore cloud resources Read More...

Congratulations, your experiments have been completed and you have a large amount of data. Now, it’s time to analyze these data. But where do you begin? How can you gain the most meaning from Read More...

Following Cell Ranger and/or other pre-processing tools, you will have a gene-by-cell counts table for each sample. The three most popular frameworks for analyzing these count matrices include: R ( Seurat ). Seurat, brought to you Read More...

Now, that we have clusters, we can use differential expression analysis to uncover markers that define our clusters. These markers can be used to assign cell types to our clusters. First, because we are working Read More...

The Seurat Object is a data container for single cell RNA-Seq and related data. It is an S4 object, which is a type of data structure that stores complex information (e.g., scRNA-Seq count matrix, Read More...

This lesson provides an introduction to R in the context of single cell RNA-Seq analysis with Seurat. Learning Objectives Learn about options for analyzing your scRNA-Seq data. Learn about resources for learning R programming. Learn Read More...

Accessing Partek Flow at NIH and tips for data transfer Learning objectives After consulting this guide, participants will Know how to access Partek Flow at NIH. Be able to transfer data from NCI CCR Sequencing Read More...