Author

Ishwor Thapa

University of Nebraska at OmahaORCID 0000-0002-3594-1631Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1

Frequent Co-Authors

Christian Stefan HaasiD· 1 shared Dhundy K BastolaiD· 1 shared Hesham AliiD· 1 shared Ling ZhangiD· 1 shared S. KimiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperBioinformatics

Christian Stefan HaasORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 28, 2023

A Novel Computational Approach for the Mining of Signature Pathways Using Species Co-occurrence Networks in Gut Microbiomes

S. Kim, Ishwor Thapa, Hesham Ali

This study introduces a computational approach to identify microbial co-occurrence networks and signature pathways in gut microbiomes associated with inflammatory bowel disease.

DOI 10.1101/2023.08.28.555189

metagenomicsstatistical model

𝕏 PostBluesky

BioinformaticsBMC BioinformaticsPeer-reviewedNov 21, 2019

Multiplatform Biomarker Identification using a Data-driven Approach Enables Single-sample Classification

Ling Zhang, Ishwor Thapa, Christian Stefan Haas, Dhundy K Bastola

The paper introduces a data-driven approach to identify reliable biomarkers across platforms for single-sample classification, showing improved performance in tumor type and molecular status classification.

10 citations

humanbulk RNA-seq

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