GiniClust2

GiniClust2 is a tool to detect cell types in single-cell RNA-seq (scRNA-seq) data. The GiniClust2 uses a weighted ensemble clustering method.

Topic

Cell biology; Genotype and phenotype; Genetic variation

Cost

Maturity:

Credit: Claudia Barr Award, Bridge Award, Nationa Institute of Health (NIH).
Contact: dtsoucas _at_ g.harvard.edu
Collection: -

Tsoucas D, Yuan GC "GiniClust2: a cluster-aware, weighted ensemble clustering method for cell-type detection." Genome Biol. 2018; 19(1):58 https://doi.org/10.1186/s13059-018-1431-3
PMID: 29747686
PMCID: PMC5946416

Source: https://github.com/dtsoucas/GiniClust2
Documentation: https://github.com/dtsoucas/GiniClust2/b
lob/master/Reference_manual.pdf
Home page: https://github.com/dtsoucas/GiniClust2

If you find errors, please report here.

SECTIONS

Find thousands of Bioinformatics and Life Science software tools and databases in the newly launched

Ads