Laksshman Sundaram
Nvidia (United States)(US)
Publications by Year
Research Areas
Single-cell and spatial transcriptomics, Congenital heart defects research, Cancer Genomics and Diagnostics, Genomics and Rare Diseases, Cell Image Analysis Techniques
Most-Cited Works
- → Predicting the clinical impact of human mutation with deep neural networks(2018)516 cited
- → Chromatin and gene-regulatory dynamics of the developing human cerebral cortex at single-cell resolution(2021)507 cited
- → The landscape of tolerated genetic variation in humans and primates(2023)164 cited
- → Identification of constrained sequence elements across 239 primate genomes(2023)104 cited
- → Integrative single-cell analysis of cardiogenesis identifies developmental trajectories and non-coding mutations in congenital heart disease(2022)95 cited
- → Working toward precision medicine: Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges(2017)50 cited
- → Deep learning the cis-regulatory code of chromatin dynamics during cellular reprogramming(2023)39 cited
- → Single-cell chromatin accessibility reveals malignant regulatory programs in primary human cancers(2024)36 cited
- → Predicting expression-altering promoter mutations with deep learning(2025)25 cited