Govinda M. Kamath

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Soavtorji

David TseThomas Kailath and Guanghan Xu Professor, Stanford UniversityPreverjeni e-poštni naslov na stanford.edu
P Vijay KumarHon. Professor, Indian Institute of SciencePreverjeni e-poštni naslov na iisc.ac.in
Prakash Narayana MoorthyIntel Labs, Intel CorporationPreverjeni e-poštni naslov na intel.com
Lalitha VadlamaniAssociate Professor, IIIT HyderabadPreverjeni e-poštni naslov na iiit.ac.in
Miklos Z. RaczNorthwestern UniversityPreverjeni e-poštni naslov na northwestern.edu
Luis CezeProfessor of Computer Science and Engineering, University of WashingtonPreverjeni e-poštni naslov na cs.washington.edu
Sergey YekhaninMicrosoftPreverjeni e-poštni naslov na microsoft.com
Karin StraussMicrosoft ResearchPreverjeni e-poštni naslov na microsoft.com
Ilan ShomoronyUniversity of Illinois at Urbana-ChampaignPreverjeni e-poštni naslov na illinois.edu
Stephen R. WilliamsAssistant Professor, University of VriginiaPreverjeni e-poštni naslov na virginia.edu
Jesse ZhangElectrical Engineering PhD Student, Stanford UniversityPreverjeni e-poštni naslov na stanford.edu
Vivek BagariaBuilding robots @ Matic | Stanford | IIT MadrasPreverjeni e-poštni naslov na stanford.edu
Vasilis NtranosUniversity of California, San FranciscoPreverjeni e-poštni naslov na ucsf.edu
Thomas CourtadeAssociate Professor, UC BerkeleyPreverjeni e-poštni naslov na berkeley.edu
Fei XiaResearch Scientist, Google DeepMindPreverjeni e-poštni naslov na google.com
Tavor BaharavPostdoctoral Fellow, Broad InstitutePreverjeni e-poštni naslov na broadinstitute.org
Lior PachterBren Professor of Computational Biology, CaltechPreverjeni e-poštni naslov na caltech.edu
O. Ozan KoyluogluUniversity of California, BerkeleyPreverjeni e-poštni naslov na berkeley.edu
Natalia SilbersteinOutbrainPreverjeni e-poštni naslov na cs.technion.ac.il
Sriram VishwanathUniversity of Texas, MITREPreverjeni e-poštni naslov na mitre.org

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Govinda M. Kamath

10x Genomics

Preverjeni e-poštni naslov na alumni.stanford.edu - Domača stran

Machine Learning Algorithms Information Theory Computational Genomics


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Random access in large-scale DNA data storage L Organick, SD Ang, YJ Chen, R Lopez, S Yekhanin, K Makarychev, ... Nature biotechnology 36 (3), 242, 2018	766	2018
Optimal Linear Codes with a Local-Error-Correction Property N Prakash, GM Kamath, V Lalitha, PV Kumar Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on …, 2012	304	2012
High resolution mapping of the tumor microenvironment using integrated single-cell, spatial and in situ analysis A Janesick, R Shelansky, AD Gottscho, F Wagner, SR Williams, ... Nature communications 14 (1), 8353, 2023	258	2023
Codes with local regeneration GM Kamath, N Prakash, V Lalitha, PV Kumar Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on …, 2013	227	2013
Codes with local regeneration and erasure correction GM Kamath, N Prakash, V Lalitha, PV Kumar IEEE Transactions on Information Theory 60 (8), 4637-4660, 2014	201	2014
Fast and accurate single-cell RNA-Seq analysis by clustering of transcript-compatibility counts V Ntranos, GM Kamath, J Zhang, L Pachter, D Tse Genome Biology 17 (112), 2016	140	2016
HINGE: Long-Read Assembly Achieves Optimal Repeat Resolution GM Kamath, I Shomorony, F Xia, TA Courtade, DN Tse Genome Research 27 (May 2017), 747-756, 2017	129	2017
Genome-scale screens identify factors regulating tumor cell responses to natural killer cells M Sheffer, E Lowry, N Beelen, M Borah, SNA Amara, CC Mader, JA Roth, ... Nature Genetics 53 (8), 1196-1206, 2021	81	2021
Valid post-clustering differential analysis for single-cell RNA-Seq JM Zhang, GM Kamath, DN Tse Cell systems 9.4, 2019	81	2019
Explicit MBR all-symbol locality codes GM Kamath, N Silberstein, N Prakash, AS Rawat, V Lalitha, OO Koyluoglu, ... Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on …, 2013	56	2013
Scaling up DNA data storage and random access retrieval L Organick, SD Ang, YJ Chen, R Lopez, S Yekhanin, K Makarychev, ... bioRxiv, 114553, 2017	52	2017
Community recovery in graphs with locality Y Chen, GM Kamath, C Suh, DN Tse International Conference on Machine Learning, 2016	48	2016
Medoids in almost linear time via multi-armed bandits V Bagaria, GM Kamath, V Ntranos, MJ Zhang, DN Tse Proceedings of the Twenty-First International Conference on Artificial …, 2018	45	2018
Knowledge distillation as semiparametric inference T Dao, GM Kamath, V Syrgkanis, L Mackey arXiv preprint arXiv:2104.09732, 2021	39	2021
Characterization of immune cell populations in the tumor microenvironment of colorectal cancer using high definition spatial profiling MF Oliveira, JP Romero, M Chung, S Williams, AD Gottscho, A Gupta, ... BioRxiv, 2024.06. 04.597233, 2024	36	2024
Spectral Jaccard Similarity: A new approach to estimating pairwise sequence alignments T Baharav, GM Kamath, DN Tse, I Shomorony Cell Patterns 1 (6), 2020	29	2020
Adaptive monte-carlo optimization V Bagaria, GM Kamath, DN Tse arXiv preprint arXiv:1805.08321, 2018	24*	2018
Optimal haplotype assembly from high-throughput mate-pair reads GM Kamath, E Şaşoğlu, DN Tse 2015 IEEE International Symposium on Information Theory (ISIT), 914-918, 2015	15	2015
Partial DNA assembly: a rate-distortion perspective I Shomorony, GM Kamath, F Xia, TA Courtade, DN Tse Information Theory (ISIT), 2016 IEEE International Symposium on, 1799-1803, 2016	14	2016
Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment GM Kamath, T Baharav, I Shomorony Advances in Neural Information Processing Systems 33, 2020	11	2020

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