Author

Aashna Shah

Simons Foundation

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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Systems Biology· 1

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Research Focus:gene regulatory network inference· 1 Organism:mouse· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1 Organism:yeast· 1

Frequent Co-Authors

Aaron WattersiD· 1 shared Andreas TjärnbergiD· 1 shared Bram L. GorisseniD· 1 shared Christopher A. JacksoniD· 1 shared Claudia Skok GibbsiD· 1 shared David GreshamiD· 1 shared Dayanne M. Castro· 1 shared Emily R. MiraldiiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperSystems Biology

Aaron WattersORCID

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1 paper

Recent·Most cited

High performance single-cell gene regulatory network inference at scale: The Inferelator 3.0

Claudia Skok Gibbs, Christopher A. Jackson, Giuseppe-Antonio Saldi, Andreas Tjärnberg, Aashna Shah, Aaron Watters, Nicholas De Veaux, Konstantine Tchourine, Ren Yi, Tymor Hamamsy, Dayanne M. Castro, Nicholas John Carriero, Bram L. Gorissen, David Gresham, Emily R. Miraldi, Richard Bonneau

The paper introduces Inferelator 3.0, a tool for inferring gene regulatory networks from single-cell data, showing improved performance on yeast and mouse brain datasets.

Bioinformatics · Feb 17, 2022Peer-reviewedSystems Biology