Author

Timothy R. Lezon

University of PittsburghORCID 0000-0001-9802-3961Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:matrix factorization· 1 Approach:statistical model· 1

Frequent Co-Authors

Adrian V. LeeiD· 1 shared Cemal ErdemiD· 1 shared D. Lansing TayloriD· 1 shared Ron Nafshi· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 3 mutual co-author links

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1 shared paperSystems Biology

Adrian V. LeeORCID

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2 papers

Recent·Most cited

Systems BiologyFrontiers in BioinformaticsPeer-reviewedAug 13, 2021

Predicting the effects of drug combinations using probabilistic matrix factorization

Ron Nafshi, Timothy R. Lezon

This paper uses probabilistic matrix factorization to predict synergistic drug combinations from partial data, showing high accuracy and proposing an efficient experimental design.

11 citations

matrix factorizationdrug response / drug discovery

𝕏 PostBluesky

Systems BiologyPLoS Computational BiologyPeer-reviewedJun 30, 2021

Computational response modeling reveals context dependent Akt activity in luminal breast cancer cells

Cemal Erdem, Adrian V. Lee, D. Lansing Taylor, Timothy R. Lezon

The paper develops a computational model of IGF1R and InsR signaling to reveal context-dependent Akt activity in luminal breast cancer cells and identifies RPS6K as a key regulator.

4 citations

humanstatistical model

𝕏 PostBluesky