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Lang Li

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Professor and Chair

Ohio State University
Country flagUnited States

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

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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

UNITED STATES
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Lei Wang

Research Scientist

Ohio State University

UNITED STATES
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You Chen

Vanderbilt University Medical Center

UNITED STATES
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Yue Zhao

Research Assistant Professor

University of Michigan

UNITED STATES
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Shaun Grannis

Professor

Indiana University School of Medicine

UNITED STATES
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Xingyi Guo

Associate Professor

Vanderbilt University Medical Center

UNITED STATES
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Hao Zhu

Professor

Rowan University

UNITED STATES
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Lijun Cheng

Associate Professor

The Ohio State University Wexner Medical Center

UNITED STATES
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Christopher Bartlett

Associate Chief Data Sciences Officer & Professor

Ohio State University

UNITED STATES
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Samar Binkheder

Associate Professor of Health and Biomedical Informatics

king saud university

SAUDI ARABIA
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