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Shuzhen Kuang

Showing results (1-10 of 21) with videos related to

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NAR Genomics and Bioinformatics|February 12, 2021
Identification and analysis of consensus RNA motifs binding to the genome regulator CTCFShuzhen Kuang, Liangjiang Wang
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|November 24, 2020
Deep Learning of Sequence Patterns for CCCTC-Binding Factor-Mediated Chromatin Loop FormationShuzhen Kuang, Liangjiang Wang
Nature Communications|July 29, 2024
Exploring the roles of RNAs in chromatin architecture using deep learningShuzhen Kuang, Katherine S Pollard
Biorxiv : the Preprint Server for Biology|November 14, 2023
Exploring the Roles of RNAs in Chromatin Architecture Using Deep LearningShuzhen Kuang, Katherine S Pollard
Bioinformatics (Oxford, England)|August 14, 2020
Expression-based prediction of human essential genes and candidate lncRNAs in cancer cellsShuzhen Kuang, Yanzhang Wei, Liangjiang Wang
Biomedicine & Pharmacotherapy = Biomedecine & Pharmacotherapie|April 11, 2018
MHC class I chain-related A: Polymorphism, regulation and therapeutic value in cancerXi Yang, Shuzhen Kuang, Liangjiang Wang, et al.
Briefings in Bioinformatics|December 6, 2013
Transcription factor and microRNA co-regulatory loops: important regulatory motifs in biological processes and diseasesHong-Mei Zhang, Shuzhen Kuang, Xushen Xiong, et al.
Nature Methods|March 20, 2025
Comparing chromatin contact maps at scale: methods and insightsKetrin Gjoni, Laura M Gunsalus, Shuzhen Kuang, et al.
Research Square|June 9, 2023
Comparing chromatin contact maps at scale: methods and insightsLaura M Gunsalus, Evonne McArthur, Ketrin Gjoni, et al.
Molecular Phylogenetics and Evolution|December 25, 2012
Phylogenetic analysis reveals the evolution and diversification of cyclins in eukaryotesZhaowu Ma, Yuliang Wu, Jialu Jin, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
NAR Genomics and Bioinformatics|February 12, 2021
Identification and analysis of consensus RNA motifs binding to the genome regulator CTCFShuzhen Kuang, Liangjiang Wang
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|November 24, 2020
Deep Learning of Sequence Patterns for CCCTC-Binding Factor-Mediated Chromatin Loop FormationShuzhen Kuang, Liangjiang Wang
Nature Communications|July 29, 2024
Exploring the roles of RNAs in chromatin architecture using deep learningShuzhen Kuang, Katherine S Pollard
Biorxiv : the Preprint Server for Biology|November 14, 2023
Exploring the Roles of RNAs in Chromatin Architecture Using Deep LearningShuzhen Kuang, Katherine S Pollard
Bioinformatics (Oxford, England)|August 14, 2020
Expression-based prediction of human essential genes and candidate lncRNAs in cancer cellsShuzhen Kuang, Yanzhang Wei, Liangjiang Wang
Biomedicine & Pharmacotherapy = Biomedecine & Pharmacotherapie|April 11, 2018
MHC class I chain-related A: Polymorphism, regulation and therapeutic value in cancerXi Yang, Shuzhen Kuang, Liangjiang Wang, et al.
Briefings in Bioinformatics|December 6, 2013
Transcription factor and microRNA co-regulatory loops: important regulatory motifs in biological processes and diseasesHong-Mei Zhang, Shuzhen Kuang, Xushen Xiong, et al.
Nature Methods|March 20, 2025
Comparing chromatin contact maps at scale: methods and insightsKetrin Gjoni, Laura M Gunsalus, Shuzhen Kuang, et al.
Research Square|June 9, 2023
Comparing chromatin contact maps at scale: methods and insightsLaura M Gunsalus, Evonne McArthur, Ketrin Gjoni, et al.
Molecular Phylogenetics and Evolution|December 25, 2012
Phylogenetic analysis reveals the evolution and diversification of cyclins in eukaryotesZhaowu Ma, Yuliang Wu, Jialu Jin, et al.
Pageof 3