Author

Gift Nyamundanda

Institute of Cancer Research

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Anguraj SadanandamiD· 3 shared Katherine EasoniD· 2 shared Aldo ScarpaiD· 1 shared Chanthirika RagulaniD· 1 shared Kakoli DasiD· 1 shared Patrick B. O. TaniD· 1 shared Pawan PoudeliD· 1 shared Rita Teresa LawloriD· 1 shared

Activity by Year

2017-2018 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 22 mutual co-author links

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3 shared papersGenomics

Anguraj SadanandamORCID

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3 papers

Recent·Most cited

polyCluster: Defining Communities of Reconciled Cancer Subtypes with Biological and Prognostic Significance

Katherine Eason, Gift Nyamundanda, Anguraj Sadanandam

polyCluster reconciles cancer subtypes from different clustering methods to identify prognostically significant subtype communities in breast and uveal melanoma datasets.

BMC Bioinformatics · May 25, 2018Peer-reviewedGenomics

Revealing unidentified heterogeneity in different epithelial cancers using heterocellular subtype classification

Pawan Poudel, Gift Nyamundanda, Chanthirika Ragulan, Rita Teresa Lawlor, Kakoli Das, Patrick B. O. Tan, Aldo Scarpa, Anguraj Sadanandam

The paper classifies epithelial cancers into five heterocellular subtypes, revealing previously unrecognized heterogeneity and identifying tissue-independent properties across cancer types.

bioRxiv · Aug 14, 2017 · PreprintBioinformatics

A Next Generation Clustering Tool Enables Identification of Functional Cancer Subtypes with Associated Biological Phenotypes

Gift Nyamundanda, Katherine Eason, Anguraj Sadanandam

The paper introduces a tool called phenMap that integrates clustering, phenotype association, and biomarker identification to define functional cancer subtypes with biological phenotypes.

bioRxiv · Aug 11, 2017 · PreprintGenomics