Sreeram Kannan

Also affiliated with Madurai Medical College

Computer ScienceBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 9 papers. Top paper: “Inferring Causal Gene Regulatory Networks from Coupled Single-Cell Expression Dynamics Using Scribe”.

Inferring Causal Gene Regulatory Networks from Coupled Single-Cell Expression Dynamics Using Scribe

Cell Systems(2020)10.1016/j.cels.2020.02.003

N/A

0.781DataRank · unranked

181 citations

Arman Rahimzamani, Li Wang, Bingcheng Ren, Qi Mao, Timothy Durham +5 more

A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis

BMC Bioinformatics(2020)10.1186/s12859-020-3401-5

N/A

0DataRank · unranked

87 citations

Sudipto Mukherjee, Sreeram Kannan, Eugene Lin

RefShannon: A genome-guided transcriptome assembler using sparse flow decomposition

PLoS ONE(2020)10.1371/journal.pone.0232946

N/A

0DataRank · unranked

21 citations

Lior Pachter, David Tse, Sreeram Kannan, Shunfu Mao

QAlign: aligning nanopore reads accurately using current-level modeling

Bioinformatics(2020)10.1093/bioinformatics/btaa875

N/A

0DataRank · unranked

10 citations

Shunfu Mao, Sreeram Kannan, Suhas Diggavi, Dhaivat Joshi

CellMeSH: Probabilistic Cell-Type Identification Using Indexed Literature

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.05.29.124743

N/A

0DataRank · unranked

1 citations

Y Zhang, Georg Seelig, Sreeram Kannan, Shunfu Mao

CellMeSH: probabilistic cell-type identification using indexed literature

Bioinformatics(2021)10.1093/bioinformatics/btab834

N/A

0DataRank · unranked

16 citations

Y Zhang, Georg Seelig, Sreeram Kannan, Shunfu Mao

Interpreting neural networks for biological sequences by learning stochastic masks

Nature Machine Intelligence(2022)10.1038/s42256-021-00428-6

N/A

0DataRank · unranked

31 citations

Alyssa La Fleur, Zibo Chen, Ajasja Ljubetič, David Baker, Sreeram Kannan +2 more

HQAlign: aligning nanopore reads for SV detection using current-level modeling

Bioinformatics(2023)10.1093/bioinformatics/btad580

N/A

0DataRank · unranked

4 citations

Suhas Diggavi, Mark J. P. Chaisson, Sreeram Kannan, Dhaivat Joshi

HQAlign: Aligning nanopore reads for SV detection using current-level modeling

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.08.523172

N/A

0DataRank · unranked

11 citations

Suhas Diggavi, Mark J. P. Chaisson, Sreeram Kannan, Dhaivat Joshi