Avi Srivastava

Orcid: 0000-0001-9798-2079

According to our database¹, Avi Srivastava authored at least 12 papers between 2014 and 2022.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2022

Airpart: interpretable statistical models for analyzing allelic imbalance in single-cell datasets.

[BibT_eX]

[DOI]

Bioinform., 2022

2021

Preprocessing choices affect RNA velocity results for droplet scRNA-seq data.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2021

Compression of quantification uncertainty for scRNA-seq counts.

[BibT_eX]

[DOI]

Bioinform., 2021

2020

A Bayesian framework for inter-cellular information sharing improves dscRNA-seq quantification.

[BibT_eX]

[DOI]

Bioinform., 2020

Terminus enables the discovery of data-driven, robust transcript groups from RNA-seq data.

[BibT_eX]

[DOI]

Bioinform., 2020

2019

Minnow: a principled framework for rapid simulation of dscRNA-seq data at the read level.

[BibT_eX]

[DOI]

Hirak Sarkar

Avi Srivastava

Rob Patro

Bioinform., 2019

2018

A space and time-efficient index for the compacted colored de Bruijn graph.

[BibT_eX]

[DOI]

Bioinform., 2018

Social Media Based Analysis of Opioid Epidemic Using Reddit.

[BibT_eX]

[DOI]

Sheetal Pandrekar Mangesh

Proceedings of the AMIA 2018, 2018

2017

Improved data-driven likelihood factorizations for transcript abundance estimation.

[BibT_eX]

[DOI]

Bioinform., 2017

2016

Accurate, Fast and Lightweight Clustering of de novo Transcriptomes using Fragment Equivalence Classes.

[BibT_eX]

[DOI]

CoRR, 2016

RapMap: a rapid, sensitive and accurate tool for mapping RNA-seq reads to transcriptomes.

[BibT_eX]

[DOI]

Bioinform., 2016

2014

Texture-based medical image retrieval in compressed domain using compressive sensing.

[BibT_eX]

[DOI]

Int. J. Bioinform. Res. Appl., 2014

Avi Srivastava

Timeline

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On csauthors.net:

Bibliography

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