Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Rongshan Yu

Showing results (1-10 of 41) with videos related to

Pageof 5
Sort By:
Bioinformatics (Oxford, England)|May 28, 2020
ScaleQC: a scalable lossy to lossless solution for NGS data compressionRongshan Yu, Wenxian Yang
BMC Bioinformatics|July 22, 2020
Performance evaluation of lossy quality compression algorithms for RNA-seq dataRongshan Yu, Wenxian Yang, Shun Wang
Frontiers in Genetics|January 23, 2023
Editorial: Integrative analysis of single-cell and/or bulk multi-omics sequencing dataGeng Chen, Rongshan Yu, Xingdong Chen
Nature Communications|July 8, 2021
Inconsistent prediction capability of ImmuneCells.Sig across different RNA-seq datasetsXu Xiao, Canqiang Xu, Wenxian Yang, et al.
Patterns (New York, N.Y.)|May 24, 2022
Deepfakes: A new threat to image fabrication in scientific publications?Liansheng Wang, Lianyu Zhou, Wenxian Yang, et al.
Biology Direct|November 23, 2020
A machine learning framework to determine geolocations from metagenomic profilingLihong Huang, Canqiang Xu, Wenxian Yang, et al.
Frontiers in Genetics|April 20, 2019
UltraStrain: An NGS-Based Ultra Sensitive Strain Typing Method for <i>Salmonella enterica</i>Wenxian Yang, Lihong Huang, Chong Shi, et al.
Bioinformatics (Oxford, England)|January 8, 2021
Diamond: a multi-modal DIA mass spectrometry data processing pipelineChenxin Li, Mingxuan Gao, Wenxian Yang, et al.
Briefings in Bioinformatics|April 6, 2021
Snipe: highly sensitive pathogen detection from metagenomic sequencing dataLihong Huang, Bin Hong, Wenxian Yang, et al.
Communications Chemistry|November 20, 2025
Scoring information integration with statistical quality control enhanced cross-run analysis of data-independent acquisition proteomics dataMingxuan Gao, Shubham Gupta, Wenxian Yang, et al.
Pageof 5

Showing results (1-10 of 41) with videos related to

Sort By:
Pageof 5
Bioinformatics (Oxford, England)|May 28, 2020
ScaleQC: a scalable lossy to lossless solution for NGS data compressionRongshan Yu, Wenxian Yang
BMC Bioinformatics|July 22, 2020
Performance evaluation of lossy quality compression algorithms for RNA-seq dataRongshan Yu, Wenxian Yang, Shun Wang
Frontiers in Genetics|January 23, 2023
Editorial: Integrative analysis of single-cell and/or bulk multi-omics sequencing dataGeng Chen, Rongshan Yu, Xingdong Chen
Nature Communications|July 8, 2021
Inconsistent prediction capability of ImmuneCells.Sig across different RNA-seq datasetsXu Xiao, Canqiang Xu, Wenxian Yang, et al.
Patterns (New York, N.Y.)|May 24, 2022
Deepfakes: A new threat to image fabrication in scientific publications?Liansheng Wang, Lianyu Zhou, Wenxian Yang, et al.
Biology Direct|November 23, 2020
A machine learning framework to determine geolocations from metagenomic profilingLihong Huang, Canqiang Xu, Wenxian Yang, et al.
Frontiers in Genetics|April 20, 2019
UltraStrain: An NGS-Based Ultra Sensitive Strain Typing Method for <i>Salmonella enterica</i>Wenxian Yang, Lihong Huang, Chong Shi, et al.
Bioinformatics (Oxford, England)|January 8, 2021
Diamond: a multi-modal DIA mass spectrometry data processing pipelineChenxin Li, Mingxuan Gao, Wenxian Yang, et al.
Briefings in Bioinformatics|April 6, 2021
Snipe: highly sensitive pathogen detection from metagenomic sequencing dataLihong Huang, Bin Hong, Wenxian Yang, et al.
Communications Chemistry|November 20, 2025
Scoring information integration with statistical quality control enhanced cross-run analysis of data-independent acquisition proteomics dataMingxuan Gao, Shubham Gupta, Wenxian Yang, et al.
Pageof 5