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Smita Krishnaswamy

Yale University · US
Area of research
Molecular Biology · Biophysics
Research interest
Research interests include Single-cell and spatial transcriptomics, Cell Image Analysis Techniques, Gene expression and cancer classification, and Bioinformatics and Genomic Networks.
h-index
39
citations
11,307
works
294
NIH funding
primary concept
email

Recent publications

KLF2 maintains lineage fidelity and suppresses CD8 T cell exhaustion during acute LCMV infection
Science 2025cited by 64position: middledoi
ImmunoStruct enables multimodal deep learning for immunogenicity prediction
Nature Machine Intelligence 2025cited by 1position: lastdoi
StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records
npj Digital Medicine 2024cited by 21position: middledoi
Immune cells and their inflammatory mediators modify β cells and cause checkpoint inhibitor–induced diabetes
JCI Insight 2022cited by 49position: middledoi
A sandbox for prediction and integration of DNA, RNA, and proteins in single cells
Ghent University Academic Bibliography (Ghent University) 2021cited by 91position: middle
Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit
Scientific Reports 2021cited by 32position: lastdoi
1-deoxysphingolipids bind to COUP-TF to modulate lymphatic and cardiac cell development
Developmental Cell 2021cited by 23position: middledoi
Generating hard-to-obtain information from easy-to-obtain information: Applications in drug discovery and clinical inference
Patterns 2021cited by 7position: lastdoi
Endocrine-Exocrine Signaling Drives Obesity-Associated Pancreatic Ductal Adenocarcinoma
Cell 2020cited by 160position: middledoi
Neural Network Predicts Need for Red Blood Cell Transfusion for Patients with Acute Gastrointestinal Bleeding Admitted to the Intensive Care Unit
medRxiv 2020cited by 6position: lastdoi
Visualizing structure and transitions in high-dimensional biological data
Nature Biotechnology 2019cited by 1,136position: lastdoi
Recovering Gene Interactions from Single-Cell Data Using Data Diffusion
Cell 2018cited by 1,856position: middledoi
PD-1 marks dysfunctional regulatory T cells in malignant gliomas
JCI Insight 2016cited by 263position: middledoi
Conditional density-based analysis of T cell signaling in single-cell data
Science 2014cited by 245position: firstdoi
viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
Nature Biotechnology 2013cited by 1,631position: middledoi

Grants

Multiscale data geometric networks for learning representations and dynamics of biological systems
NSF2327211$498,2292023–2026PIRePORTER
CAREER: Deep representation learning for exploration and inference in biomedical data
NSF2047856$586,1872021–2026PIRePORTER

Frequent collaborators

Daniel B. Burkhardt · Cell Medica (Switzerland)4 papers (2019–2022)David van Dijk · Yale University4 papers (2016–2021)Michael Simonov · Ministry of Health3 papers (2020–2021)Dana Pe’er · Howard Hughes Medical Institute3 papers (2013–2018)Dennis Shung · Mayo Clinic3 papers (2020–2021) · 2 papers (2020–2021)Jessie Huang · UNSW Sydney2 papers (2020–2021)Natalia Ivanova · Yale Cancer Center2 papers (2019–2021)Zheng Wang · Qingdao University2 papers (2019–2021)Guy Wolf · Mila - Quebec Artificial Intelligence Institute2 papers (2018–2019)Loren Laine · Yale University2 papers (2020–2021)Akiko Iwasaki · Yale University2 papers (2021–2025)Ho‐Joon Lee · Korea Advanced Institute of Science and Technology2 papers (2021–2024)Kevin R. Moon · Utah State University2 papers (2018–2019)Kristina Yim · Yale University2 papers (2018–2019)J. Kenneth Tay · Palo Alto University2 papers (2020–2021)Garry P. Nolan · Stanford University2 papers (2013–2014)Sean C. Bendall · Stanford University2 papers (2013–2014)Stuart P. Weisberg · NewYork–Presbyterian Hospital1 papers (2022–2022)Alexander Tong · Georgetown University1 papers (2022–2022)