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Vasilis Ntranos

Showing results (1-10 of 26) with videos related to

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Cell Systems|September 6, 2025
Uncovering differential tolerance to deletions versus substitutions with a protein language modelGrant Goldman, Prathamesh Chati, Vasilis Ntranos
Bioinformatics (Oxford, England)|May 11, 2019
The barcode, UMI, set format and BUStoolsPáll Melsted, Vasilis Ntranos, Lior Pachter
Frontiers in Endocrinology|October 24, 2022
Alpha cell dysfunction in type 1 diabetes is independent of a senescence programGabriel Brawerman, Vasilis Ntranos, Peter J Thompson
Plos One|January 26, 2019
Deterministic column subset selection for single-cell RNA-SeqShannon R McCurdy, Vasilis Ntranos, Lior Pachter
Nature Communications|February 9, 2020
Determining sequencing depth in a single-cell RNA-seq experimentMartin Jinye Zhang, Vasilis Ntranos, David Tse
Nature Methods|January 22, 2019
A discriminative learning approach to differential expression analysis for single-cell RNA-seqVasilis Ntranos, Lynn Yi, Páll Melsted, et al.
Nature Methods|March 30, 2026
Compressing the collective knowledge of ESM into a single protein language modelTuan Dinh, Seon-Kyeong Jang, Noah Zaitlen, et al.
Nature Genetics|August 10, 2023
Genome-wide prediction of disease variant effects with a deep protein language modelNadav Brandes, Grant Goldman, Charlotte H Wang, et al.
Genome Biology|May 28, 2016
Fast and accurate single-cell RNA-seq analysis by clustering of transcript-compatibility countsVasilis Ntranos, Govinda M Kamath, Jesse M Zhang, et al.
Cell Metabolism|February 26, 2019
Targeted Elimination of Senescent Beta Cells Prevents Type 1 DiabetesPeter J Thompson, Ajit Shah, Vasilis Ntranos, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Cell Systems|September 6, 2025
Uncovering differential tolerance to deletions versus substitutions with a protein language modelGrant Goldman, Prathamesh Chati, Vasilis Ntranos
Bioinformatics (Oxford, England)|May 11, 2019
The barcode, UMI, set format and BUStoolsPáll Melsted, Vasilis Ntranos, Lior Pachter
Frontiers in Endocrinology|October 24, 2022
Alpha cell dysfunction in type 1 diabetes is independent of a senescence programGabriel Brawerman, Vasilis Ntranos, Peter J Thompson
Plos One|January 26, 2019
Deterministic column subset selection for single-cell RNA-SeqShannon R McCurdy, Vasilis Ntranos, Lior Pachter
Nature Communications|February 9, 2020
Determining sequencing depth in a single-cell RNA-seq experimentMartin Jinye Zhang, Vasilis Ntranos, David Tse
Nature Methods|January 22, 2019
A discriminative learning approach to differential expression analysis for single-cell RNA-seqVasilis Ntranos, Lynn Yi, Páll Melsted, et al.
Nature Methods|March 30, 2026
Compressing the collective knowledge of ESM into a single protein language modelTuan Dinh, Seon-Kyeong Jang, Noah Zaitlen, et al.
Nature Genetics|August 10, 2023
Genome-wide prediction of disease variant effects with a deep protein language modelNadav Brandes, Grant Goldman, Charlotte H Wang, et al.
Genome Biology|May 28, 2016
Fast and accurate single-cell RNA-seq analysis by clustering of transcript-compatibility countsVasilis Ntranos, Govinda M Kamath, Jesse M Zhang, et al.
Cell Metabolism|February 26, 2019
Targeted Elimination of Senescent Beta Cells Prevents Type 1 DiabetesPeter J Thompson, Ajit Shah, Vasilis Ntranos, et al.
Pageof 3