Author

Adam Kurkiewicz

Harvard UniversityORCID 0000-0002-4806-9168Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Anneli CooperiD· 1 shared Benedikt G. H. SchoseriD· 1 shared Berit Adam· 1 shared Charles A. ThorntoniD· 1 shared Darren G. MoncktoniD· 1 shared Emily McIlwaine· 1 shared Evan Biederstedt· 1 shared Hirak SarkariD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Anneli CooperORCID

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2 papers

Recent·Most cited

BioinformaticsNature BiotechnologyPeer-reviewedSep 26, 2022

Haplotype-enhanced inference of somatic copy number profiles from single-cell transcriptomes

Teng Gao, Ruslan Soldatov, Hirak Sarkar…·Peter V. Kharchenko

This paper introduces Numbat, a method that uses haplotype information to improve detection of copy number variations from scRNA-seq data, revealing subclonal complexity in cancer.

176 citationstop 1%

humanscRNA-seq

BioinformaticsPLoS ONEPeer-reviewedApr 14, 2020

Towards development of a statistical framework to evaluate myotonic dystrophy type 1 mRNA biomarkers in the context of a clinical trial

Adam Kurkiewicz, Anneli Cooper, Emily McIlwaine…·Darren G. Monckton

The paper develops a statistical framework to evaluate mRNA biomarkers for DM1 treatment efficacy using machine learning and microarray data.

12 citations

humanbulk RNA-seq