yunzhang813

yunzhang813's Stars

• hemberg-lab/scmap

  A tool for unsupervised projection of single cell RNA-seq data

  Language:R89123811

• JCVenterInstitute/NSForest

  A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA sequencing

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• JCVenterInstitute/FRmatch

  Cell type matching in single-cell RNA-sequencing data using FR-Match

  Language:R19762

• obophenotype/brain_data_standards_ontologies

  A repository for co-ordinating work on ontologies for the Brain Data Standards Project

  Language:Python1181953

• jhsiao999/flowMap

  Language:R6600

• yunzhang813/FUNNEL-GSEA-R-Package

  Zhang et al. 2017. FUNNEL-GSEA: FUNctioNal ELastic-net regression in time-course gene set enrichment analysis. Bioinformatics, 33(13), 1944-1952.

  Language:R6352

• yunzhang813/PBtest-R-Package

  Zhang et al. 2019. Highly Efficient Hypothesis Testing Methods for Regression-type Tests with Correlated Observations and Heterogeneous Variance Structure. BMC Bioinformatics, 20:185.

  Language:R4300

• JCVenterInstitute/celligrate

  Software suite for marker gene identification and cell type integration from single cell RNA-sequencing data

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• AllenInstitute/MOp_taxonomies_ontology

  Central location for versioning and sharing of taxonomy files relevant for ontology development as part of cell type cards.

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• yunzhang813/simDeNet-R-Package-Shiny

  Zhang et al. 2021. The effect of tissue composition on gene co-expression, Briefings in Bioinformatics, 22(1), 127-139.

  Language:R2301

• Cellular-Semantics/CellMark

  Language:Makefile1011

• obophenotype/brain_data_standards_queries

  A repository for the Brain Data Standards Ontology cypher queries.

  Language:Python17131

• ralatsdc/nsforest-docker

  Language:Python1201