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Laksshman Sundaram
Laksshman Sundaram
Graduate Student in Computer Science, Stanford University
在 stanford.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
2382018
Chromatin and gene-regulatory dynamics of the developing human cerebral cortex at single-cell resolution
AE Trevino, F Müller, J Andersen, L Sundaram, A Kathiria, A Shcherbina, ...
Cell 184 (19), 5053-5069. e23, 2021
662021
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
392017
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
36*2016
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
292019
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
282017
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
162019
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
22020
480 The spectrum of oligogenic variants in the RAS pathway in a PHACE cohort
D Siegel, E Partan, O Davies, S Chamlin, B Drolet, A Mancini, ...
Journal of Investigative Dermatology 142 (8), S81, 2022
2022
Variant pathogenicity prediction using neural network
L Sundaram, F Kai-How, H Gao, SR PADIGEPATI, JF McRAE
US Patent App. 17/715,001, 2022
2022
Recurrent neural network-based variant pathogenicity classifier
H Gao, F Kai-How, L Sundaram, JF McRAE
US Patent 11,386,324, 2022
2022
Deep convolutional neural networks for variant classification
L Sundaram, F Kai-How, H Gao, SR PADIGEPATI, JF McRAE
US Patent 11,315,016, 2022
2022
Integrative single-cell analysis of cardiogenesis identifies developmental trajectories and non-coding mutations in congenital heart disease
M Ameen, L Sundaram, A Banerjee, M Shen, S Kundu, S Nair, ...
bioRxiv, 2022
2022
Predicting the Functional Impact of de Novo Mutations in Human Diseases and Disorders
L Sundaram
Stanford University, 2021
2021
Analysis of Whole Genome Sequencing in a Cohort of Individuals with PHACE Syndrome Suggests Dysregulation of RAS/PI3K Signaling
ES Partan, F Blei, SL Chamlin, OMT Davies, BA Drolet, IJ Frieden, ...
medRxiv, 2021
2021
Deep learning-based techniques for training deep convolutional neural networks
H Gao, F Kai-How, L Sundaram, JF Mcrae
2020
TECHNIQUES BASED ON DEEP LEARNING LEARNING OF NEURONAL NETWORKS WITH DEEP CONVOLUTION
H Gao, F Kai-How, L Sundaram, JF Mcrae
2019
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