Alternatives and similar repositories for TCSC

Users that are interested in TCSC are comparing it to the libraries listed below

• hakyimlab / scPrediXcan
  ☆30Updated 2 months ago
• ylaboratory / seismic
  Seismic R package. Discover cell type-trait associations in minutes for GWAS and single-cell RNA-sequencing data
  ☆17Updated 2 months ago
• szhang1112 / scPRS
  ☆22Updated 4 months ago
• konumat / Trans-Phar
  GWAS-TWAS (Transcriptome-wide association study)-Pharmacological library integration pipeline
  ☆18Updated 4 years ago
• BennyStrobes / TGFM
  Tissue-Gene Fine-Mapping
  ☆21Updated 5 months ago
• YangLabHKUST / XPASS
  Cross-population analysis using GWAS summary statistics
  ☆18Updated last year
• Marijn-Schipper / FLAMES
  FLAMES: Accurate gene prioritization in GWAS loci
  ☆41Updated 5 months ago
• ChongWuLab / SUMMIT
  Summary-level Unified Method for Modeling Integrated Transcriptome
  ☆10Updated 2 years ago
• marcoralab / MRcovid
  ☆12Updated 3 years ago
• rhhao / csMR
  Perform cell-stratified MR analysis through integrating GWAS and QTL data
  ☆32Updated last month
• scbaca / cwas
  Workflow for performing cistrome-wide associations studies
  ☆10Updated 3 years ago
• StatFunGen / pecotmr
  Post-GWAS enrichment, colocalization, TWAS and Mendelian Randomization to integrate molecular QTL and GWAS.
  ☆28Updated 2 weeks ago
• karthikj89 / scgenetics
  identifying disease critical cell types and programs from single cell RNAseq
  ☆57Updated 3 years ago
• mancusolab / FactorGo
  Software to infer latent pleiotropic components from GWAS summary data
  ☆15Updated 7 months ago
• precimed / pleiofdr
  Pleiotropy-informed conditional and conjunctional false discovery rate
  ☆32Updated 3 months ago
• cnfoley / mrclust
  R package for investigating clustered heterogeneity in Mendelian randomization (MR) analyses.
  ☆17Updated 3 years ago
• daiqile96 / OTTERS
  A powerful TWAS framework leveraging summary-level reference data
  ☆31Updated 5 months ago
• mancusolab / ma-focus
  MA-FOCUS: Multi-Ancestry Fine-mapping Of CaUsal gene Sets
  ☆34Updated last year
• jokamoto97 / INTACT
  Integration of TWAS and Colocalization Analysis
  ☆17Updated 10 months ago
• kkdey / GSSG
  Gene Set + S2G strategy annotations analyzed for disease architecture
  ☆54Updated 2 years ago
• dingruofan / xQTLbiolinks
  xQTLbiolinks: a comprehensive and scalable tool for integrative analysis of molecular QTLs
  ☆37Updated 6 months ago
• lilab-bioinfo / xQTLbiolinks
  xQTLbiolinks: an R package for integrative analysis with xQTL data
  ☆17Updated last year
• immunogenomics / cov-ldsc
  ☆11Updated 2 years ago
• opain / eQTL_to_TWAS
  Methods for converting eQTL summary statistics into TWAS SNP-weights
  ☆13Updated 2 months ago
• jbryois / scRNA_disease
  Code for our paper: https://www.biorxiv.org/content/10.1101/528463v1
  ☆18Updated 5 years ago
• hbliu / Kidney_Epi_Pri
  Kidney Epigenome and Transcriptome-based multi-stage Prioritization
  ☆17Updated 2 years ago
• szcf-weiya / MTWAS
  R package for "Multi-tissue Transcriptome-Wide Association Studies (MTWAS)"
  ☆15Updated 2 weeks ago
• erwinerdem / STEAP
  Single cell Type Enrichment Analysis for Phenotypes (STEAP)
  ☆13Updated 4 years ago
• perslab / CELLEX
  CELLEX (CELL-type EXpression-specificity)
  ☆43Updated 2 years ago
• bsml320 / scGWAS
  A method which leverages scRNA-seq data to achieve two goals: (1) to infer the cell types in which the disease-associated genes manifest …
  ☆26Updated 2 years ago