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Lang Li
Has grant
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Research Interests
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Recent Grants
Grant: Open
Clinical and Translational Data Science Training Program
Open Date: 2025-09-17
Close Date: 2030-07-31
Grant: Open
Machine learning drives translational research from drug interactions to pharmacogenetics
Open Date: 2023-05-01
Close Date: 2028-02-29
Grant: Close
An informatics bridge over the valley of death for cancer Phase I trials of drug-combination therapies
Open Date: 2021-09-24
Close Date: 2025-08-31
Grant: Close
The Indiana University-Ohio State University Maternal and Pediatric Precision in Therapeutics Data, Model, Knowledge, and Research Coordination Center (IU-OSU MPRINT DMKRCC)
Open Date: 2021-09-10
Close Date: 2026-07-31
Grant: Close
Drug-Drug Interactions Involving Methadone and Buprenorphine
Open Date: 2019-09-15
Close Date: 2025-06-30
Articles (9)
Year:
2026
Year:
2026
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Emerging CRISPR–Cas9 technology permits synthetic lethality (SL) screening of large number of gene pairs from gene combination double knockout (CDKO) experiments. However, the poor integration and annotation of CDKO SL data in current SL databases limit their utility, and diverse methods of calculating SL scores prohibit their comparison. To overcome these shortcomings, we have developed SL knowledge base (SLKB) that incorporates data of 11 CDKO experiments in 22 cell lines, 16,059 SL gene pairs and 264,424 non-SL gene pairs. Additionally, within SLKB, we have implemented five SL calculation methods: median score with and without background control normalization (Median-B/NB), sgRNA-derived score (sgRNA-B/NB), Horlbeck score, GEMINI score and MAGeCK score. The five scores have demonstrated a mere 1.21% overlap among their top 10% SL gene pairs, reflecting high diversity. Users can browse SL networks and assess the impact of scoring methods using Venn diagrams. The SL network generated from all data in SLKB shows a greater likelihood of SL gene pair connectivity with other SL gene pairs than non-SL pairs. Comparison of SL networks between two cell lines demonstrated greater likelihood to share SL hub genes than SL gene pairs. SLKB website and pipeline can be freely accessed at https://slkb.osubmi.org and https://slkb.docs.osubmi.org/, respectively.
Year:
2023
Collaborators (10)
Sara Quinney
Professor
Indiana University School of Medicine
Lei Wang
Research Scientist
Ohio State University
You Chen
Vanderbilt University Medical Center
Yue Zhao
Research Assistant Professor
University of Michigan
Shaun Grannis
Professor
Indiana University School of Medicine
Xingyi Guo
Associate Professor
Vanderbilt University Medical Center
Hao Zhu
Professor
Rowan University
Lijun Cheng
Associate Professor
The Ohio State University Wexner Medical Center
Christopher Bartlett
Associate Chief Data Sciences Officer & Professor
Ohio State University
Samar Binkheder
Associate Professor of Health and Biomedical Informatics
king saud university
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