Bethesda, MD
Trans NIH Facility
The NIH Biowulf Cluster provides researchers with a world-class system to assist in solving complex biomedical problems as diverse as gene variation in worldwide human populations, deep learning to model protein structures, and PET brain Read More...
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.row { display: flex; justify-content: space-around; align-items: flex-start; margin: 20px; } .column { text-align: center; padding: 10px; width: 30%; } .column img { display: block; margin: 0 auto; width: 150px; height: 150px; } .column strong { display: block; margin-top: 10px; } Background: Intravital microscopy (IVM) Read More...
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Bioinformatics
03/11/2024 - The goal of this exploratory workshop is to identify scientific and collaborative bridges between the communities of mathematical theory development and computational cancer biology research by bringing together mathematical theorists and cancer biologists from Read More...
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Bioinformatics
Let's use the console to run some basic mathematical operations. 398 + 783 ## [1] 1181 475 / 5 ## [1] 95 2 * 8906 ## [1] 17812 (1 + (5 ** 0.5))/2 ## [1] 1.618034 As you can see, ** were used for exponentiation. There are a number of other special operators used to perform math in R. Refer to Read More...
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Bioinformatics
12/07/2021 - This introductory course teaches the basics of deep learning and of different types of deep learning networks through a set of hands-on biological examples implemented in Keras, one example per class: Class #4 will focus Read More...
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Bioinformatics
Upon starting Jupyter Lab, users will see an interface with the following. To the left, there is a file explorer where users can access files and subfolders available in the directory in which the Jupyter Read More...
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Bioinformatics
Upon starting Jupyter Lab, users will see an interface with the following. To the left, there is a file explorer where users can access files and subfolders available in the directory in which the Jupyter Read More...
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Bioinformatics
Python is a programming language used in many different applications including data science. It is a high-level computer language, as the syntax is easily read and understood. Python is considered a beginner-friendly language. Python also Read More...
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Bioinformatics
Normalization in RNA sequencing is important as this should place expression data for all samples under the same distribution. This process also removes technical variations due to sequencing depth (ie. more sequences generated from one Read More...
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Bioinformatics
Can you speed up your code with parallelization? Considerations: levels of parallelization: multiprocessing vs multithreads The most common form of parallelism in R is multiprocessing. This is usually explicitly done by you or package you Read More...
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Bioinformatics
Let's learn how to further work with vectors, including creating, sub-setting, modifying, and saving. First, we will create a few vectors. Again, the c() vector is necessary for this task. #Some possible RNASeq data Read More...
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Bioinformatics
Jupyter Notebook utilizes markdown for text editing. "Markdown is is a lightweight markup language for creating formatted text using a" -- https://en.wikipedia.org/wiki/Markdown We can use different size headings Read More...
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Bioinformatics
Principal Components Analysis (PCA) transforms high dimensional data such as those derived from RNA sequencing so that researchers can see how study variables cluster together. The result of PCA is that the original data is Read More...
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Bioinformatics
Another important data structure in R is the data matrix. Data frames and data matrices are similar in that both are tabular in nature and are defined by dimensions (i.e., rows (m) and columns ( Read More...
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Bioinformatics
Another important data structure in R is the data matrix. Data frames and data matrices are similar in that both are tabular in nature and are defined by dimensions (ie. rows (m) and columns (n), Read More...
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Bioinformatics
Below are the quality checks that will be performed on the filtered gene expression table. Principal Components Analysis (PCA): This transforms high dimensional data such as those derived from RNA sequencing so that researchers can Read More...
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Bioinformatics
Learning Objectives Learn about data structures including factors, lists, data frames, and matrices. Load, explore, and access data in a tabular format (data frames) Learn to write out (export) data from the R environment Data Read More...
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Bioinformatics
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...
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Bioinformatics
Lesson 4: Submitting R Scripts via command line Learning Objectives Learn how to use R with less interaction Learn how to deploy sbatch R jobs, and learn about alternatives such as swarm . Learn about R job Read More...
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Bioinformatics
Data frames Objectives To be able to load, explore, and access data in a tabular format. To this end, students should understand the following: 1. how to import and export data 2. how to create, summarize, and Read More...