Hirak Sarkar

Orcid: 0000-0003-3636-7384

According to our database1, Hirak Sarkar authored at least 14 papers between 2015 and 2024.

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Bibliography

2024
Mapping the Topography of Spatial Gene Expression with Interpretable Deep Learning.
Proceedings of the Research in Computational Molecular Biology, 2024

2022
Airpart: interpretable statistical models for analyzing allelic imbalance in single-cell datasets.
Bioinform., 2022

2021
Compression of quantification uncertainty for scRNA-seq counts.
Bioinform., 2021

2020
Computational approaches for improving the accuracy and efficiency of RNA-seq analysis.
PhD thesis, 2020

A Bayesian framework for inter-cellular information sharing improves dscRNA-seq quantification.
Bioinform., 2020

Terminus enables the discovery of data-driven, robust transcript groups from RNA-seq data.
Bioinform., 2020

Social Media Attributions in the Context of Water Crisis.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Minnow: a principled framework for rapid simulation of dscRNA-seq data at the read level.
Bioinform., 2019

2018
A space and time-efficient index for the compacted colored de Bruijn graph.
Bioinform., 2018

Towards Selective-Alignment: Bridging the Accuracy Gap between Alignment-Based and Alignment-Free Transcript Quantification.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017
Quark enables semi-reference-based compression of RNA-seq data.
Bioinform., 2017

2016
Accurate, Fast and Lightweight Clustering of de novo Transcriptomes using Fragment Equivalence Classes.
CoRR, 2016

RapMap: a rapid, sensitive and accurate tool for mapping RNA-seq reads to transcriptomes.
Bioinform., 2016

2015
Voronoi game on graphs.
Theor. Comput. Sci., 2015


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