Author

Gabriela Chiosis

Memorial Sloan Kettering Cancer CenterORCID 0000-0003-0486-6920Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:ATAC-seq· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Ángela Rynne‐VidaliD· 1 shared Christina S. LeslieiD· 1 shared Direna Alonso‐CurbeloiD· 1 shared Douglas A. LevineiD· 1 shared Fumiko ShimizuiD· 1 shared Hannah Yong WeniD· 1 shared Hatice U. OsmanbeyogluiD· 1 shared Hsuan-An CheniD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Ángela Rynne‐VidalORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedSep 25, 2019

Chromatin-informed inference of transcriptional programs in gynecologic and basal breast cancers

Hatice U. Osmanbeyoglu, Fumiko Shimizu, Ángela Rynne‐Vidal…·Christina S. Leslie

The paper develops PSIONIC, a machine learning method that integrates chromatin accessibility and RNA-seq data to infer transcriptional programs in gynecologic and basal breast cancers, revealing regulatory differences and survival associations.

28 citations

humanATAC-seq

𝕏 PostBluesky