Laksshman Sundaram
Laksshman Sundaram
Graduate Student in Computer Science, Stanford University
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Predicting the clinical impact of human mutation with deep neural networks
L Sundaram, H Gao, SR Padigepati, JF McRae, Y Li, JA Kosmicki, ...
Nature genetics 50 (8), 1161-1170, 2018
1242018
Working toward precision medicine: Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges
R Daneshjou, Y Wang, Y Bromberg, S Bovo, PL Martelli, G Babbi, ...
Human mutation 38 (9), 1182-1192, 2017
282017
Semantic edge labeling over legal citation graphs
A Sadeghian, L Sundaram, D Wang, W Hamilton, K Branting, C Pfeifer
Proceedings of the workshop on legal text, document, and corpus analytics …, 2016
25*2016
DeepBipolar: Identifying genomic mutations for bipolar disorder via deep learning
S Laksshman, RR Bhat, V Viswanath, X Li
Human mutation 38 (9), 1217-1224, 2017
202017
Deep Learning-Based Techniques for Training Deep Convolutional Neural Networks
H Gao, F Kai-How, L Sundaram, JF McRAE
US Patent App. 16/160,903, 2019
92019
Semi-Supervised Learning for Training an Ensemble of Deep Convolutional Neural Networks
L Sundaram, F Kai-How, H Gao, JF McRAE
US Patent App. 16/160,968, 2019
92019
Chromatin and gene-regulatory dynamics of the developing human cerebral cortex at single-cell resolution
AE Trevino, F Muller, J Andersen, L Sundaram, A Kathiria, A Shcherbina, ...
bioRxiv, 2020
12020
Deep Learning-Based Techniques for Training Deep Convolutional Neural Networks
H Gao, F Kai-How, L Sundaram, JF McRAE
US Patent App. 16/773,678, 2020
2020
Deep Convolutional Neural Networks for Variant Classification
L Sundaram, F Kai-How, H Gao, SR PADIGEPATI, JF McRAE
US Patent App. 16/160,986, 2020
2020
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