Author

Yoshikazu Ohya

The University of TokyoORCID 0000-0003-0837-1239Unclaimed ORCID profile · follow to get notified of new preprints

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Yoshikazu Ohya1 paper

Biology Disciplines

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Systems Biology· 2 Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:yeast· 4 Research Focus:gene regulatory network inference· 3 Research Focus:benchmarking· 2 Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Charles M. BooneiD· 4 shared Hiroyuki OsadaiD· 3 shared Mami Yoshimura· 3 shared Sheena Claire LiiD· 3 shared Yoko YashirodaiD· 3 shared Abraham Abera GebreiD· 2 shared Brenda AndrewsiD· 2 shared Chad L. MyersiD· 2 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersSystems Biology

Charles M. BooneORCID

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4 papers

Recent·Most cited

BioinformaticsNature MethodsPeer-reviewedOct 1, 2022

BIONIC: Biological Network Integration using Convolutions

Duncan T. Forster, Sheena Claire Li, Yoko Yashiroda…·Charles M. Boone

BIONIC integrates biological networks using deep learning to improve accuracy and scalability, identifying novel gene interactions in yeast.

60 citationstop 4%

yeastprotein sequence

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GenomicseLifePeer-reviewedNov 4, 2020

Genetic Profiling of Protein Burden and Nuclear Export Overload

Reiko Kintaka, Koji Makanae, Shotaro Namba…·Hisao Moriya

The paper identifies genetic interactions associated with protein overproduction and nuclear export overload in yeast using genetic profiling.

25 citations

yeaststatistical model

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Systems BiologyPLoS Computational BiologyPeer-reviewedOct 30, 2018

Predicting bioprocess targets of chemical compounds through integration of chemical-genetic and genetic interaction networks

Scott W. Simpkins, Justin Nelson, Raamesh Deshpande…·Chad L. Myers

The paper develops CG-TARGET to predict compound biological processes by integrating chemical-genetic and genetic interaction networks, showing improved accuracy and FDR control.

16 citations

yeaststatistical model

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Systems BiologyNature Chemical BiologyPeer-reviewedJul 24, 2017

Functional Annotation of Chemical Libraries across Diverse Biological Processes

Jeff S. Piotrowski, Sheena Claire Li, Raamesh Deshpande…·Charles M. Boone

This study develops a yeast-based chemical-genetic screening system to annotate compound functionality across biological processes and identifies compounds with dual modes of action.

96 citationstop 4%

yeastexperimental assay

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