12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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Collections of library structure and sequence of popular single cell genomic methods

Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics

Single RNA-seq data analysis with R (Finland, May, 2019)

Code and annotations for the Tabula Muris single-cell transcriptomic dataset.

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A centralized location for storing curated data from cBioPortal

This is the repository that contains the analysis of the lung adenocarcinoma single cell dataset

A Shiny web app for mapping datasets using Seurat v4

R package that automatically classifies the cells in the scRNA data by segregating non-malignant cells of tumor microenviroment from the malignant cells. It also infers the copy number profile of m…

STARTRAC(Single T-cell Analysis by Rna-seq and Tcr TRACking)

Gene Expression Decomposition and Integration

General notes and resources on how to analyze Spatial Transcriptomics data

STREAMLINE (Topological benchmarking of GRN inference from scRNA-Sequencing data)