Author

Sridhar R. Tayur

Carnegie Mellon UniversityORCID 0000-0002-5457-0696Unclaimed 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 Assay:whole-exome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Hedayat AlghassiiD· 2 shared Raouf DridiiD· 2 shared A. Gordon RobertsoniD· 1 shared Ma’en ObeidatiD· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 5 mutual co-author links

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2 shared papersBioinformatics

Hedayat AlghassiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 30, 2019

The Topology of Mutated Driver Pathways

Raouf Dridi, Hedayat Alghassi, Ma’en Obeidat, Sridhar R. Tayur

The paper introduces a topological framework to analyze mutated driver pathways in cancer, finding AML pathways resemble a sphere and GBM pathways resemble a genus-2 surface.

1 citation

humanwhole-exome sequencing

BioinformaticsbioRxivPreprintNov 17, 2019

Quantum and Quantum-inspired Methods for de novo Discovery of Altered Cancer Pathways

Hedayat Alghassi, Raouf Dridi, A. Gordon Robertson, Sridhar R. Tayur

This paper introduces quantum and quantum-inspired algorithms for discovering altered cancer pathways, showing they can identify known important pathways in AML using TCGA data.

5 citations

humanwhole-exome sequencing