Author

Emma Pierson

Primary ORCID profile (0000-0002-6149-5567 · 3 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Emma PiersoniD3 papers · Stanford University

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Alexis BattleiD· 1 shared Christopher Yau· 1 shared Daphne Koller· 1 shared GTEx Consortium· 1 shared Sara MostafaviiD· 1 shared

Activity by Year

2015-2015 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Alexis BattleORCID

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2 papers

Recent·Most cited

ZIFA: Dimensionality reduction for zero-inflated single cell gene expression analysis

Christopher Yau, Emma Pierson

ZIFA improves dimensionality reduction for single-cell RNA-seq data by explicitly modeling zero-inflated dropout events in simulated and biological datasets.

bioRxiv · Jun 14, 2015Bioinformatics

Sharing and specificity of co-expression networks across 35 human tissues

Emma Pierson, GTEx Consortium, Daphne Koller, Alexis Battle, Sara Mostafavi

The paper learns tissue-specific gene regulatory networks for 35 human tissues using a transfer learning approach, showing that tissue-specific transcription factors are hubs and genes with tissue-specific functions are at network peripheries.

PLOS Computational Biology · May 13, 2015Peer-reviewedBioinformatics