Author

Cong Ma

Carnegie Mellon UniversityORCID 0000-0002-2115-7934Unclaimed ORCID profile · follow to get notified of new preprints

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Cong Ma1 paper · Princeton University

Biology Disciplines

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Bioinformatics· 2

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Assay:bulk RNA-seq· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Research Focus:variant calling· 1

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Carl KingsfordiD· 2 shared Mingfu ShaoiD· 1 shared

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2018-2019 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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2 shared papersBioinformatics

Carl KingsfordORCID

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2 papers

Recent·Most cited

BioinformaticsCell SystemsPeer-reviewedNov 27, 2019

Detecting anomalies in RNA-seq quantification

Cong Ma, Carl Kingsford

The paper introduces an anomaly detection method to identify and correct misquantifications in RNA-seq data, reducing false differential expression predictions.

11 citations

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsGenome biologyPeer-reviewedApr 12, 2018

SQUID: Transcriptomic Structural Variation Detection from RNA-seq

Cong Ma, Mingfu Shao, Carl Kingsford

SQUID detects transcriptomic structural variations from RNA-seq by improving accuracy on simulation data and identifying novel non-fusion-gene TSVs in TCGA samples.

37 citations

humanbulk RNA-seq

𝕏 PostBluesky