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Sreeram Kannan

Showing results (1-10 of 12) with videos related to

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Cell Systems|May 3, 2016
Fundamental Limits of SearchSreeram Kannan, David Tse
BMC Bioinformatics|February 23, 2020
A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysisEugene Lin, Sudipto Mukherjee, Sreeram Kannan
Bioinformatics (Oxford, England)|October 14, 2020
QAlign: aligning nanopore reads accurately using current-level modelingDhaivat Joshi, Shunfu Mao, Sreeram Kannan, et al.
Plos One|June 3, 2020
RefShannon: A genome-guided transcriptome assembler using sparse flow decompositionShunfu Mao, Lior Pachter, David Tse, et al.
Bioinformatics (Oxford, England)|December 11, 2021
CellMeSH: probabilistic cell-type identification using indexed literatureShunfu Mao, Yue Zhang, Georg Seelig, et al.
Bioinformatics (Oxford, England)|June 29, 2018
Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledgeSumit Mukherjee, Yue Zhang, Joshua Fan, et al.
Research in Computational Molecular Biology : ... Annual International Conference, RECOMB ... : Proceedings. RECOMB (Conference : 2005- )|August 16, 2017
Resolving multicopy duplications <i>de novo</i> using polyploid phasingMark J Chaisson, Sudipto Mukherjee, Sreeram Kannan, et al.
Bioinformatics (Oxford, England)|September 22, 2023
HQAlign: aligning nanopore reads for SV detection using current-level modelingDhaivat Joshi, Suhas Diggavi, Mark J P Chaisson, et al.
Biorxiv : the Preprint Server for Biology|January 30, 2023
HQAlign: Aligning nanopore reads for SV detection using current-level modelingDhaivat Joshi, Suhas Diggavi, Mark J P Chaisson, et al.
Arxiv|January 30, 2023
HQAlign: Aligning nanopore reads for SV detection using current-level modelingDhaivat Joshi, Suhas Diggavi, Mark J P Chaisson, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Cell Systems|May 3, 2016
Fundamental Limits of SearchSreeram Kannan, David Tse
BMC Bioinformatics|February 23, 2020
A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysisEugene Lin, Sudipto Mukherjee, Sreeram Kannan
Bioinformatics (Oxford, England)|October 14, 2020
QAlign: aligning nanopore reads accurately using current-level modelingDhaivat Joshi, Shunfu Mao, Sreeram Kannan, et al.
Plos One|June 3, 2020
RefShannon: A genome-guided transcriptome assembler using sparse flow decompositionShunfu Mao, Lior Pachter, David Tse, et al.
Bioinformatics (Oxford, England)|December 11, 2021
CellMeSH: probabilistic cell-type identification using indexed literatureShunfu Mao, Yue Zhang, Georg Seelig, et al.
Bioinformatics (Oxford, England)|June 29, 2018
Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledgeSumit Mukherjee, Yue Zhang, Joshua Fan, et al.
Research in Computational Molecular Biology : ... Annual International Conference, RECOMB ... : Proceedings. RECOMB (Conference : 2005- )|August 16, 2017
Resolving multicopy duplications <i>de novo</i> using polyploid phasingMark J Chaisson, Sudipto Mukherjee, Sreeram Kannan, et al.
Bioinformatics (Oxford, England)|September 22, 2023
HQAlign: aligning nanopore reads for SV detection using current-level modelingDhaivat Joshi, Suhas Diggavi, Mark J P Chaisson, et al.
Biorxiv : the Preprint Server for Biology|January 30, 2023
HQAlign: Aligning nanopore reads for SV detection using current-level modelingDhaivat Joshi, Suhas Diggavi, Mark J P Chaisson, et al.
Arxiv|January 30, 2023
HQAlign: Aligning nanopore reads for SV detection using current-level modelingDhaivat Joshi, Suhas Diggavi, Mark J P Chaisson, et al.
Pageof 2