Author

Pramod Bangalore

ORCID 0000-0002-5308-7061Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1

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Azam Sheikh MuhammadiD· 1 shared Jens NielseniD· 1 shared Jonathan L. RobinsoniD· 1 shared Rasool SaghaleyniiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperSystems Biology

Azam Sheikh MuhammadORCID

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1 paper

Recent·Most cited

Systems BiologyPLoS Computational BiologyPeer-reviewedApr 5, 2021

Machine learning-based investigation of the cancer protein secretory pathway

Rasool Saghaleyni, Azam Sheikh Muhammad, Pramod Bangalore…·Jonathan L. Robinson

The paper uses machine learning and differential expression analysis to identify secretory pathway genes associated with cancer characteristics, finding KIF20A and KIF23 as key genes across multiple cancer types.

12 citations

humanbulk RNA-seq

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