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Haixu Tang

Showing results (41-50 of 162) with videos related to

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AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|September 6, 2016
On the privacy risks of sharing clinical proteomics dataSujun Li, Nuno Bandeira, Xiaofeng Wang, et al.
Nature Communications|December 2, 2023
Accurate de novo peptide sequencing using fully convolutional neural networksKaiyuan Liu, Yuzhen Ye, Sujun Li, et al.
Proteomics|May 17, 2020
A Fast and Memory-Efficient Spectral Library Search Algorithm Using Locality-Sensitive HashingLei Wang, Kaiyuan Liu, Sujun Li, et al.
Bioinformatics (Oxford, England)|April 21, 2020
Overlap detection on long, error-prone sequencing reads via smooth q-gramYan Song, Haixu Tang, Haoyu Zhang, et al.
Environmental Toxicology and Chemistry|March 29, 2026
Cross-chemical and cross-species toxicity prediction: benchmarking and a novel 3D-structure-based deep learning modelRuying Yuan, Joseph Shaw, Haixu Tang, et al.
Bioinformatics (Oxford, England)|June 28, 2024
SpecEncoder: deep metric learning for accurate peptide identification in proteomicsKaiyuan Liu, Chenghua Tao, Yuzhen Ye, et al.
Genome Biology and Evolution|January 7, 2017
Insertion Polymorphisms of Mobile Genetic Elements in Sexual and Asexual Populations of Daphnia pulexXiaoqian Jiang, Haixu Tang, Zhiqiang Ye, et al.
Analytical Chemistry|December 15, 2004
Shotgun protein sequencing by tandem mass spectra assemblyNuno Bandeira, Haixu Tang, Vineet Bafna, et al.
Genome Research|November 3, 2004
A novel method for multiple alignment of sequences with repeated and shuffled elementsBenjamin Raphael, Degui Zhi, Haixu Tang, et al.
Nature Communications|December 12, 2025
FIDDLE: a deep learning method for chemical formulas prediction from tandem mass spectraYuhui Hong, Sujun Li, Yuzhen Ye, et al.
Pageof 17

Showing results (41-50 of 162) with videos related to

Sort By:
Pageof 17
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|September 6, 2016
On the privacy risks of sharing clinical proteomics dataSujun Li, Nuno Bandeira, Xiaofeng Wang, et al.
Nature Communications|December 2, 2023
Accurate de novo peptide sequencing using fully convolutional neural networksKaiyuan Liu, Yuzhen Ye, Sujun Li, et al.
Proteomics|May 17, 2020
A Fast and Memory-Efficient Spectral Library Search Algorithm Using Locality-Sensitive HashingLei Wang, Kaiyuan Liu, Sujun Li, et al.
Bioinformatics (Oxford, England)|April 21, 2020
Overlap detection on long, error-prone sequencing reads via smooth q-gramYan Song, Haixu Tang, Haoyu Zhang, et al.
Environmental Toxicology and Chemistry|March 29, 2026
Cross-chemical and cross-species toxicity prediction: benchmarking and a novel 3D-structure-based deep learning modelRuying Yuan, Joseph Shaw, Haixu Tang, et al.
Bioinformatics (Oxford, England)|June 28, 2024
SpecEncoder: deep metric learning for accurate peptide identification in proteomicsKaiyuan Liu, Chenghua Tao, Yuzhen Ye, et al.
Genome Biology and Evolution|January 7, 2017
Insertion Polymorphisms of Mobile Genetic Elements in Sexual and Asexual Populations of Daphnia pulexXiaoqian Jiang, Haixu Tang, Zhiqiang Ye, et al.
Analytical Chemistry|December 15, 2004
Shotgun protein sequencing by tandem mass spectra assemblyNuno Bandeira, Haixu Tang, Vineet Bafna, et al.
Genome Research|November 3, 2004
A novel method for multiple alignment of sequences with repeated and shuffled elementsBenjamin Raphael, Degui Zhi, Haixu Tang, et al.
Nature Communications|December 12, 2025
FIDDLE: a deep learning method for chemical formulas prediction from tandem mass spectraYuhui Hong, Sujun Li, Yuzhen Ye, et al.
Pageof 17