Author

Brian A. Kidd

Icahn School of Medicine at Mount SinaiORCID 0000-0003-2110-1145Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Joel T. DudleyiD· 3 shared Hao-Chih LeeiD· 2 shared Amanda M. NelsoniD· 1 shared Ana Brânduşa PaveliD· 1 shared Aparna A. DivaraniyaiD· 1 shared Atul Janardhan ButteiD· 1 shared Benjamin D. McCauleyiD· 1 shared Benjamin Scott GlicksbergiD· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 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

3 shared papersBioinformatics

Joel T. DudleyORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Systems BiologybioRxivPreprintMar 28, 2019

Multiscale analysis of acne connects molecular subnetworks with disease status

Jacob B. Hall, Aparna A. Divaraniya, Hao-Chih Lee…·Joel T. Dudley

This study performs a multi-omic analysis of acne patients and non-acne individuals to identify molecular subnetworks associated with disease status.

2 citations

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsCell ReportsPeer-reviewedJul 1, 2018

Meta-analysis of Cytometry Data Reveals Racial Differences in Immune Cells

Zicheng Hu, Chethan Jujjavarapu, Jacob Hughey…·Atul Janardhan Butte

MetaCyto enables meta-analysis of flow and mass cytometry data, revealing racial differences in immune cell populations across 2926 samples.

53 citations

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 23, 2017

Learning and Mapping Lyme Disease Patient Trajectories from Electronic Medical Data for Stratification of Disease Risk and Therapeutic Response

Osamu Ichikawa, Benjamin Scott Glicksberg, Brian A. Kidd…·Joel T. Dudley

The paper uses machine learning on electronic medical records to identify comorbidities and medications associated with Lyme disease and its treatment outcomes.

1 citation

electronic health recordsmachine learning (classical)

𝕏 PostBluesky