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Chengzhong Ye

Showing results (1-10 of 13) with videos related to

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Bioinformatics (Oxford, England)|June 15, 2019
DECENT: differential expression with capture efficiency adjustmeNT for single-cell RNA-seq dataChengzhong Ye, Terence P Speed, Agus Salim
Nature Communications|February 2, 2020
Surface protein imputation from single cell transcriptomes by deep neural networksZilu Zhou, Chengzhong Ye, Jingshu Wang, et al.
Nature Biotechnology|January 3, 2025
A DNA language model based on multispecies alignment predicts the effects of genome-wide variantsGonzalo Benegas, Carlos Albors, Alan J Aw, et al.
Trends in Genetics : TIG|January 3, 2025
Genomic language models: opportunities and challengesGonzalo Benegas, Chengzhong Ye, Carlos Albors, et al.
Arxiv|July 29, 2024
Genomic Language Models: Opportunities and ChallengesGonzalo Benegas, Chengzhong Ye, Carlos Albors, et al.
Arxiv|March 17, 2025
A Phylogenetic Approach to Genomic Language ModelingCarlos Albors, Jianan Canal Li, Gonzalo Benegas, et al.
Biorxiv : the Preprint Server for Biology|October 24, 2023
GPN-MSA: an alignment-based DNA language model for genome-wide variant effect predictionGonzalo Benegas, Carlos Albors, Alan J Aw, et al.
Nature Methods|September 1, 2019
Data denoising with transfer learning in single-cell transcriptomicsJingshu Wang, Divyansh Agarwal, Mo Huang, et al.
Genome Biology|August 7, 2023
Cross-protein transfer learning substantially improves disease variant predictionMilind Jagota, Chengzhong Ye, Carlos Albors, et al.
Biorxiv : the Preprint Server for Biology|September 26, 2025
Predicting functional constraints across evolutionary timescales with phylogeny-informed genomic language modelsChengzhong Ye, Gonzalo Benegas, Carlos Albors, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|June 15, 2019
DECENT: differential expression with capture efficiency adjustmeNT for single-cell RNA-seq dataChengzhong Ye, Terence P Speed, Agus Salim
Nature Communications|February 2, 2020
Surface protein imputation from single cell transcriptomes by deep neural networksZilu Zhou, Chengzhong Ye, Jingshu Wang, et al.
Nature Biotechnology|January 3, 2025
A DNA language model based on multispecies alignment predicts the effects of genome-wide variantsGonzalo Benegas, Carlos Albors, Alan J Aw, et al.
Trends in Genetics : TIG|January 3, 2025
Genomic language models: opportunities and challengesGonzalo Benegas, Chengzhong Ye, Carlos Albors, et al.
Arxiv|July 29, 2024
Genomic Language Models: Opportunities and ChallengesGonzalo Benegas, Chengzhong Ye, Carlos Albors, et al.
Arxiv|March 17, 2025
A Phylogenetic Approach to Genomic Language ModelingCarlos Albors, Jianan Canal Li, Gonzalo Benegas, et al.
Biorxiv : the Preprint Server for Biology|October 24, 2023
GPN-MSA: an alignment-based DNA language model for genome-wide variant effect predictionGonzalo Benegas, Carlos Albors, Alan J Aw, et al.
Nature Methods|September 1, 2019
Data denoising with transfer learning in single-cell transcriptomicsJingshu Wang, Divyansh Agarwal, Mo Huang, et al.
Genome Biology|August 7, 2023
Cross-protein transfer learning substantially improves disease variant predictionMilind Jagota, Chengzhong Ye, Carlos Albors, et al.
Biorxiv : the Preprint Server for Biology|September 26, 2025
Predicting functional constraints across evolutionary timescales with phylogeny-informed genomic language modelsChengzhong Ye, Gonzalo Benegas, Carlos Albors, et al.
Pageof 2