wxgao33

wxgao33's Stars

• guodongxiaren/README

  README文件语法解读，即Github Flavored Markdown语法介绍

  6.9k197687.2k

• seandavi/awesome-single-cell

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

  3.2k24823989

• broadinstitute/infercnv

  Inferring CNV from Single-Cell RNA-Seq

  Language:R57540585166

• MrOlm/inStrain

  Bioinformatics program inStrain

  Language:Python149718233

• cozygene/FEAST

  Fast expectation maximization for microbial source tracking

  Language:R118166260

• ZJUFanLab/bulk2space

  a spatial deconvolution method based on deep learning frameworks, which converts bulk transcriptomes into spatially resolved single-cell expression profiles

  Language:Jupyter Notebook11442123

• ZJUFanLab/scDeepSort

  Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network

  Language:Python9962518

• PKUAI26/IntroductionToDataScience2019Fall

  721009

• sjdlabgroup/SAHMI

  Language:R7022513

• rnakato/ShortCake

  A docker image for single-cell analysis

  Language:R675913

• PierreBSC/Viral-Track

  Language:R5653127

• elimereu/matchSCore2

  Language:R532311

• GRONINGEN-MICROBIOME-CENTRE/Groningen-Microbiome

  Microbiome Projects from the Department of Genetics and Department of Gastroenterology and Hepatology , University Medical Centre Groningen

  Language:HTML526445

• CRI-iAtlas/ImmuneSubtypeClassifier

  An R package for classification of immune subtypes, in cancer, using gene expression data.

  Language:R4321523

• czbiohub-sf/tabula-sapiens

  Single Cell Transcriptomics of 25 Human Organs to Create a Tabula Sapiens

  Language:Jupyter Notebook406258

• ncrna/PathogenTrack

  A pipeline to identify pathogenic microorganisms from scRNA-seq raw data.

  Language:Python27178

• ruppinlab/CSI-Microbes-identification

  Code for the identification step for CSI-Microbes

  Language:Python27457

• ruppinlab/CSI-Microbes-analysis

  The code for running the analysis component of CSI-Microbe

  Language:Python12303

• tjcadd2020/xMarkerFinder

  Microbial marker identification from cross-cohort datasets

  Language:Python10003

• yge15/TCGA_Microbial_Content

  Comprehensive analysis of microbial content in whole-genome sequencing samples from The Cancer Genome Atlas project

  415