Author

Ivan V. Grishagin

National Institutes of HealthORCID 0000-0003-2985-4336Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Alejandro A. SchäfferiD· 1 shared Alexander G. GodfreyiD· 1 shared Biju Mathew· 1 shared Busola Grillo· 1 shared Collin Michael BlakelyiD· 1 shared Craig J. ThomasiD· 1 shared Daniel Lucas KerriD· 1 shared Dimitrios Metaxatos· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Alejandro A. SchäfferORCID

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2 papers

Recent·Most cited

Systems BiologyJournal of Chemical Information and ModelingPeer-reviewedJan 20, 2022

A Workflow of Integrated Resources to Catalyze Network Pharmacology Driven COVID-19 Research

Gergely Zahoránszky-Köhalmi, Vishal B. Siramshetty, Praveen Kumar…·Tudor Ionel Oprea

The paper presents a workflow for integrating diverse datasets to build a network pharmacology resource for COVID-19 research, resulting in a Neo4j graph database named Neo4COVID19.

9 citations

statistical modeldatabase / resource

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BioinformaticsbioRxivPreprintJan 11, 2022

Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors

Sanju Sinha, Rahulsimham Vegesna, Saugato Rahman Dhruba…·Eytan Ruppin

This paper introduces PERCEPTION, a framework using single-cell transcriptomics to predict cancer treatment response and resistance, outperforming bulk expression-based methods in clinical trials.

3 citations

humanscRNA-seq

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