Jing Su

Assistant Professor

Indiana University School of Medicine

United States

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Research Interests

Biostatistics

40%

Cell Biology

50%

Transcriptomic

30%

Single-cell Analysis

30%

Cardiovascular Risk

20%

Kidney Disease

20%

Genomic

20%

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Recent Grants

Grant: Close

Revealing Health Trajectories of Chronic Kidney Disease for Precision Medicine

Open Date: 2022-08-01

Close Date: 2026-05-31

Articles16

SpaIM: single-cell spatial transcriptomics imputation via style transfer

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Year:

2025

HECLIP: histology-enhanced contrastive learning for imputation of transcriptomics profiles

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Year:

2025

The HM-TARGET personalised real-time haemodynamic targets in critical care

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Year:

2025

Risk of Urinary Tract Infections with Sodium-Glucose Transport Protein-2 Inhibitors in Subpopulations with Abnormal Genitourinary Pathology

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Year:

2025

Demystifying the black box: A survey on explainable artificial intelligence (XAI) in bioinformatics

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Year:

2025

TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease

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Year:

2024

Health disparities in the risk of severe acidosis: real-world evidence from the All of Us cohort

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Year:

2024

SiGra: single-cell spatial elucidation through an image-augmented graph transformer

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Year:

2023

Sample average treatment effect on the treated (SATT) analysis using counterfactual explanation identifies BMT and SARS-CoV-2 vaccination as protective risk factors associated with COVID-19 severity and survival in patients with multiple myeloma

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Year:

2023

SMGR: a joint statistical method for integrative analysis of single-cell multi-omics data

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Year:

2022

Uncovering the dynamic effects of DEX treatment on lung cancer by integrating bioinformatic inference and multiscale modeling of scRNA-seq and proteomics data

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Year:

2022

Pharmacogenomics of Hypertension in CKD: The CKD-PGX Study

Article Link

Year:

2022

Reply to K. Takada et al

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Year:

2021

Robust estimation of heterogeneous treatment effects: an algorithm-based approach

Article Link

Year:

2021

scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics

Article Link

Year:

2021

scLM: Automatic Detection of Consensus Gene Clusters Across Multiple Single-cell Datasets

Article Link

Year:

2021

Collaborators11

Yingjie Chen

Assistant Professor

Purdue University

UNITED STATES

Baijian Yang

Purdue University

UNITED STATES

Noha Sharafeldin

Assistant Professor

The University of Alabama

UNITED STATES

AMIT MITRA

ASSISTANT PROFESSOR

UNITED STATES

Lance Miller

Professor

Wake Forest School of Medicine

UNITED STATES

Honglang Wang

Assistant Professor of Statistics

Indiana University-Purdue University Indianapolis

UNITED STATES

Wen-jie Chen

Teaching Assistant

Baylor University

UNITED STATES

Feifan Liu

Assistant Professor

University of Massachusetts Chan Medical School

UNITED STATES

Qianqian Song

Assistant Professor

Wake Forest School of Medicine

UNITED STATES

Tieying Hou

Indiana University Bloomington

UNITED STATES

Yi Zhao

Assistant Professor

Indiana University School of Medicine

UNITED STATES

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