GreenGilad

Computational scientist | PhD Student | Holstege Lab | Amsterdam UMC

Amsterdam UMC

Pinned Repositories

CellBender
CellBender is a software package for eliminating technical artifacts from high-throughput single-cell RNA sequencing (scRNA-seq) data.
Language:Python293 10 31653
CellBender
CellBender is a software package for eliminating technical artifacts from high-throughput single-cell RNA sequencing (scRNA-seq) data.
Language:Python00
DoubletFinder
R package for detecting doublets in single-cell RNA sequencing data
Language:R0 0 01
IML.HUJI
GitHub repository of the Introduction to Machine Learning course in the Hebrew University of Jerusalem. Includes code examples, labs, and exercise templates
Language:Jupyter Notebook41 5 0532
Palantir
Single cell trajectory detection
Language:Jupyter Notebook00
seurat-wrappers
Community-provided extensions to Seurat
Language:R00
simplifyEnrichment
Simplify functional enrichment results
Language:R0 0 00
VIA
Language:Jupyter Notebook0 0 00
seurat
R toolkit for single cell genomics
Language:R2.3k 73 8k912
seurat-wrappers
Community-provided extensions to Seurat
Language:R303 11 140131

GreenGilad/IML.HUJI
GitHub repository of the Introduction to Machine Learning course in the Hebrew University of Jerusalem. Includes code examples, labs, and exercise templates
Language:Jupyter Notebook41 5 0532
GreenGilad/CellBender
CellBender is a software package for eliminating technical artifacts from high-throughput single-cell RNA sequencing (scRNA-seq) data.
Language:Python00
GreenGilad/DoubletFinder
R package for detecting doublets in single-cell RNA sequencing data
Language:R0 0 01
GreenGilad/Palantir
Single cell trajectory detection
Language:Jupyter Notebook00
GreenGilad/seurat-wrappers
Community-provided extensions to Seurat
Language:R00
GreenGilad/simplifyEnrichment
Simplify functional enrichment results
Language:R0 0 00
GreenGilad/VIA
Language:Jupyter Notebook0 0 00