Author

Samuel W. Baker

Children's Hospital of PhiladelphiaPrimary ORCID profile (0000-0001-6083-1824 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Samuel W. BakeriD2 papers · University of Pennsylvania

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 1 Organism:human· 1 Organism:mouse· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Ahmad N. Abou TayouniD· 1 shared Andy Peng XiangiD· 1 shared Avni SantaniiD· 1 shared Batsal DevkotaiD· 1 shared Bohou WuiD· 1 shared Bruce T. LahniD· 1 shared Bryan L. KrockiD· 1 shared Chao WuiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Ahmad N. Abou TayounORCID

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2 papers

Recent·Most cited

Capacity to erase gene occlusion is a defining feature distinguishing naive from primed pluripotency

Kara M. Foshay, Jae Hyun Lee, Li Zhang, Croydon J. Fernandes, Bohou Wu, Jedidiah Gaetz, Samuel W. Baker, Timothy J. Looney, Andy Peng Xiang, Guoping Fan, Bruce T. Lahn

The paper identifies gene occlusion erasure as a defining difference between naive and primed pluripotency states, showing Esrrb-dependent deocclusion sustains naive pluripotency.

bioRxiv · May 4, 2021 · PreprintMolecular Biology

Rapid and Accurate Interpretation of Clinical Exomes Using Phenoxome: a Computational Phenotype-driven Approach

Chao Wu, Batsal Devkota, Perry Evans, Xiaonan Zhao, Samuel W. Baker, Rojeen Niazi, Kajia Cao, Michael Gonzalez, Pushkala Jayaraman, Laura Kathleen Conlin, Bryan L. Krock, Matthew A. Deardorff, Nancy Bettina Spinner, Ian D. Krantz, Avni Santani, , Mahdi Sarmady

Phenoxome improves clinical exome variant prioritization by integrating phenotypic and genomic data, achieving high accuracy in identifying causative variants.

European Journal of Human Genetics · Jan 9, 2019Peer-reviewedBioinformatics