Author

Grace Scheg

University of Southern California

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

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Organism:human· 1 Organism:non-human primate· 1 Approach:statistical model· 1

Frequent Co-Authors

Aditya Prasad SarkariD· 1 shared Anushka RajeshiD· 1 shared Anushka YadaviD· 1 shared Dottie YuiD· 1 shared Dumitru CiorbăiD· 1 shared Emma Shih· 1 shared Fangyun LiuiD· 1 shared Grigore BoldireviD· 1 shared

Activity by Year

2021-2021 · 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

Aditya Prasad SarkarORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

The systematic assessment of completeness of public metadata accompanying omics studies in the Gene Expression Omnibus

Yu-Ning Huang, Pooja Vinod Jaiswal, Anushka Rajesh, Anushka Yadav, Dottie Yu, Fangyun Liu, Grace Scheg, Emma Shih, Grigore Boldirev, Irina Nakashidze, Aditya Prasad Sarkar, Jay Himanshu Mehta, Ke Wang, Khooshbu Kantibhai Patel, Mustafa Ali Baig Mirza, , Serghei Mangul

This study assesses metadata completeness in public omics studies, finding that most important phenotypes are often omitted, with only 11.5% of studies fully sharing all phenotypes.

bioRxiv · Nov 22, 2021 · PreprintBioinformatics