VetEricChan

VetEricChan's Stars

• microsoft/AI-For-Beginners

  12 Weeks, 24 Lessons, AI for All!

  Language:Jupyter Notebook35.5k4201176.2k

• seandavi/awesome-single-cell

  Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

  3.3k24923996

• satijalab/seurat

  R toolkit for single cell genomics

  Language:R2.3k768.1k924

• scverse/scanpy

  Single-cell analysis in Python. Scales to >1M cells.

  Language:Python2k491.8k608

• scverse/scvi-tools

  Deep probabilistic analysis of single-cell and spatial omics data

  Language:Python1.3k271k366

• zqfang/GSEApy

  Gene Set Enrichment Analysis in Python

  Language:Python58611207120

• immunogenomics/harmony

  Fast, sensitive and accurate integration of single-cell data with Harmony

  Language:R5392722699

• Starlitnightly/omicverse

  A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.

  Language:Jupyter Notebook532519366

• navinlabcode/copykat

  Language:R2191012055

• edward130603/BayesSpace

  Bayesian model for clustering and enhancing the resolution of spatial gene expression experiments.

  Language:R119310422

• xjsun1221/tinyarray

  plots function for array

  Language:R9131126

• Hoohm/CITE-seq-Count

  A tool that allows to get UMI counts from a single cell protein assay

  Language:Python791117943

• jcao89757/SCINA

  SCINA: A Semi-Supervised Subtyping Algorithm of Single Cells and Bulk Samples

  Language:R6342017

• data2intelligence/CytoSig

  Language:Python4911411

• youqiongye/CRC_scRNAseq

  Language:R434024

• jmzeng1314/METABRIC

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• Simon-Leonard/FlexDotPlot

  R package for Flexible dot plots

  Language:R29568

• yanailab/celseq2

  Generate the UMI count matrix from CEL-Seq2 sequencing data

  Language:Python2043113

• jmzeng1314/GSE76275-TNBC

  Language:R174017

• ELELAB/TCGAbiolinks_examples

  repository with the scripts to run examples of the publications with new functionalities of TCGAbiolinks

  Language:R14628

• martaint/InterCellar

  Language:R9244

• nlawlor/PBMC_CITEseq

  CITE-seq profiling of human PBMCs at baseline and activation conditions

  Language:R5211

• camiolomj/ICLite

  Language:R121

• cran/CytobankBridgeR

  :exclamation: This is a read-only mirror of the CRAN R package repository. CytobankBridgeR — Bridging and Extending the CytobankAPI Package in R to the Cytobank Web Application

  Language:R130

• VetEricChan/awesome-cancer-variant-databases

  A community-maintained repository of cancer clinical knowledge bases and databases focused on cancer variants.

  1000

• VetEricChan/awesome-single-cell

  Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

  1000

• VetEricChan/bms038_analysis

  Code and additional processed data for manuscript "Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab"; see for manuscript https://doi.org/10.1016/j.cell.2017.09.028 See also http://www.ioexplorer.org for interactive visuallization

  Language:Python1000

• VetEricChan/GSE76275-TNBC

  Language:R1000

• VetEricChan/METABRIC

  Language:HTML1000

• VetEricChan/MultimodalMappingPDA-scRNASeq

  Raw data and analysis of scRNA Seq experiments for the paper Multimodal Mapping of the Immune Landscape in Human Pancreatic Cancer. This repository includes the raw data and core R script that will replicate Figures 1E, 1G, 1H, and Supplementary Figure 1D. To replicate the analysis, place the R script in R Studio and load the data into the Global Environment. The R script will then run and generate the four figures found in the manuscript. Veerin Sirihorachai July 31, 2019

  Language:R1000