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Michael G. McDermott

Researcher at Icahn School of Medicine at Mount Sinai

Publications -  5
Citations -  7530

Michael G. McDermott is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Knowledge extraction & Set (abstract data type). The author has an hindex of 5, co-authored 5 publications receiving 4702 citations.

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Enrichr: a comprehensive gene set enrichment analysis web server 2016 update

TL;DR: A significant update to one of the tools in this domain called Enrichr, a comprehensive resource for curated gene sets and a search engine that accumulates biological knowledge for further biological discoveries is presented.
Journal ArticleDOI

The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins.

TL;DR: The Harmonizome is a comprehensive resource of knowledge about genes and proteins that enables researchers to discover novel relationships between biological entities, as well as form novel data-driven hypotheses for experimental validation.
Journal ArticleDOI

Extraction and analysis of signatures from the Gene Expression Omnibus by the crowd

Zichen Wang, +52 more
TL;DR: This article reported a crowdsourcing project to annotate and reanalyse a large number of gene expression profiles from Gene Expression Omnibus (GEO) through a massive open online course on Coursera, over 70 participants from over 25 countries identify and annotate 2,460 single-gene perturbation signatures, 839 disease versus normal signatures, and 906 drug perturbations signatures.
Journal Article

Extraction and analysis of signatures from the Gene Expression Omnibus by the crowd

Zichen Wang, +52 more
- 01 Sep 2016 - 
TL;DR: A crowdsourcing project to annotate and reanalyse a large number of gene expression profiles from Gene Expression Omnibus (GEO) and develops a web portal to serve these signatures for query, download and visualization.