Author

Hamid Doost Hosseini

Massachusetts Institute of Technology

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:differential expression· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alexander W. CristofaroiD· 1 shared Amin Espah BorujeniiD· 1 shared Carolyn Corbet· 1 shared Christopher A. VoigtiD· 1 shared David Benjamin GordoniD· 1 shared Diveena Becker· 1 shared Enoch YeungiD· 1 shared George Zheng· 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

Alexander W. CristofaroORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Prediction of Whole-Cell Transcriptional Response with Machine Learning

Mohammed Eslami, Amin Espah Borujeni, Hamed Eramian, Mark Weston, George Zheng, Joshua A. Urrutia, Carolyn Corbet, Diveena Becker, Paul Maschhoff, Katie J. Clowers, Alexander W. Cristofaro, Hamid Doost Hosseini, David Benjamin Gordon, Yuval Dorfan, Jedediah M. Singer, , Enoch Yeung

The paper introduces a machine learning model to predict whole-cell transcriptional responses to combinations of perturbations using data from single inducers.

Bioinformatics · Sep 22, 2021Peer-reviewedBioinformatics