WANGDI0212

WANGDI0212's Stars

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python30.5k6251798.2k

• smorabit/hdWGCNA

  High dimensional weighted gene co-expression network analysis

  Language:R371533336

• j-andrews7/awesome-bioinformatics-benchmarks

  A curated list of bioinformatics bench-marking papers and resources.

  318184358

• digitalcytometry/ecotyper

  EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.

  Language:R19039841

• hrbrmstr/ggchicklet

  🀫 Create Chicklet (Rounded Segmented Column) Charts

  Language:HTML17361012

• biocore/tcga

  Microbial analysis in TCGA data

  Language:Jupyter Notebook90101044

• YutingPKU/SingleCell-Multiomics

  Language:HTML632225

• sajuukLyu/Protocols-4pub

  Multi-omics analysis protocols by Lyu.

  Language:HTML493013

• McGranahanLab/TcellExTRECT

  Language:R4612820

• BostonGene/MFP

  Mollecular Functional Portraits

  Language:HTML363513

• chensujun/scRNA

  Language:R302611

• kevlitchfield1/CPI1000_paper

  Language:R204212

• mematt/ml4calibrated450k

  This is a companion repository for the article "Comparative analysis of machine learning classifiers and calibration algorithms for estimating class probabilities for personalized cancer diagnostics on DNA methylation microarray data"

  Language:R202113

• chadcreighton/cancer-proteomics-compendium-n2002

  We assembled a compendium dataset of mass-spectrometry-based proteomics data of 2002 primary tumors from 14 cancer types and 17 studies

  17106

• chriscainx/gastric-cancer

  Language:HTML15204

• ruppinlab/tcga-microbiome-prediction

  Predictive models and analysis of cancer prognosis and drug response using primary tumor microbial abundances derived from WGS and RNA-seq sequencing data for 32 TCGA cancers (Poore et al. Nature 2020), including equivalent models using TCGA RNA-seq gene expression and combined microbial abundance and gene expression for comparison.

  Language:Python15109

• Sage-Bionetworks/crcsc

  CRC Subtyping Consortium

  Language:R1223117

• baliga-lab/sygnal

  SYstems Genetic Network AnaLysis (SYGNAL) pipeline

  Language:R7806

• sofnom/HistoPathNCA_pipeline

  A nuclear and cell annotation pipeline from histopathology H&E slides using CellProfiler.

  Language:R7102

• clinical-data-mining/organ-site-mapping

  Mapping ICD billing codes and terms to a standard ontology

  Language:Jupyter Notebook4202

• ComputationalEpigeneticsLab/Tumor-cellular-states-and-ecosystems-in-CRC

  Deep immunophenotyping reveals clinically distinct cellular states and ecosystems in large-scale colorectal cancer

  Language:R3102

• FrancisCrickInstitute/PEACE_melanoma_14_paper

  Language:R3502

• cancersysbio/BreastCancerSpatialProteomics

  Language:Jupyter Notebook22105

• ChrisMaherLab/PepTransDB

  Language:Python2111

• dukekuang/PASS-ON-codes

  Language:R2113

• irisjingliu/RBsubtyping

  Language:R2101

• Pereira-lab/QmihR

  Language:Perl2011

• cgplab/MIMESIS

  A package to identify type/subtype of tumor samples and estimate tumor content using minimal DNA-methylation signatures

  Language:R1201

• karolno/BE-GIM_Comparison

  12

• WANGDI0212/BE-GIM_Comparison

  Single-Cell RNA Sequencing Unifies Developmental Programs of Esophageal and Gastric Intestinal Metaplasia

  1000