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

L Y Han

Showing results (51-60 of 76) with videos related to

Pageof 8
Sort By:
BMC Bioinformatics|January 27, 2007
Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approachH H Lin, L Y Han, H L Zhang, et al.
Zhonghua Bing Li Xue Za Zhi = Chinese Journal of Pathology|June 8, 2022
[Clinicopathological characteristics and molecular alterations of primary cardiac leiomyosarcoma: report of five cases]F Dong, D Chen, J F Shang, et al.
Current Protein & Peptide Science|March 14, 2008
Homology-free prediction of functional class of proteins and peptides by support vector machinesF Zhu, L Y Han, X Chen, et al.
Journal of Chemical Information and Modeling|January 24, 2006
PEARLS: program for energetic analysis of receptor-ligand systemL Y Han, H H Lin, Z R Li, et al.
Nucleic Acids Research|June 25, 2004
MoViES: molecular vibrations evaluation server for analysis of fluctuational dynamics of proteins and nucleic acidsZ W Cao, Y Xue, L Y Han, et al.
Archives of General Psychiatry|September 26, 2001
Dysregulation of olfactory receptor neuron lineage in schizophreniaS E Arnold, L Y Han, P J Moberg, et al.
Rhinology|October 15, 2024
Clinical efficacy of olfactory training using aromatic traditional Chinese medicine in managing olfactory dysfunction induced by SARS-CoV-2X-F Qiao, L-Y Han, Y-F Li, et al.
The New Phytologist|September 15, 2005
Prediction of functional class of novel plant proteins by a statistical learning methodL Y Han, C J Zheng, H H Lin, et al.
Clinical Pharmacology and Therapeutics|December 23, 2006
PharmGED: pharmacogenetic effect databaseB Xie, C J Zheng, L Y Han, et al.
Journal of Pharmaceutical Sciences|September 6, 2007
Machine learning approaches for predicting compounds that interact with therapeutic and ADMET related proteinsH Li, C W Yap, C Y Ung, et al.
Pageof 8

Showing results (51-60 of 76) with videos related to

Sort By:
Pageof 8
BMC Bioinformatics|January 27, 2007
Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approachH H Lin, L Y Han, H L Zhang, et al.
Zhonghua Bing Li Xue Za Zhi = Chinese Journal of Pathology|June 8, 2022
[Clinicopathological characteristics and molecular alterations of primary cardiac leiomyosarcoma: report of five cases]F Dong, D Chen, J F Shang, et al.
Current Protein & Peptide Science|March 14, 2008
Homology-free prediction of functional class of proteins and peptides by support vector machinesF Zhu, L Y Han, X Chen, et al.
Journal of Chemical Information and Modeling|January 24, 2006
PEARLS: program for energetic analysis of receptor-ligand systemL Y Han, H H Lin, Z R Li, et al.
Nucleic Acids Research|June 25, 2004
MoViES: molecular vibrations evaluation server for analysis of fluctuational dynamics of proteins and nucleic acidsZ W Cao, Y Xue, L Y Han, et al.
Archives of General Psychiatry|September 26, 2001
Dysregulation of olfactory receptor neuron lineage in schizophreniaS E Arnold, L Y Han, P J Moberg, et al.
Rhinology|October 15, 2024
Clinical efficacy of olfactory training using aromatic traditional Chinese medicine in managing olfactory dysfunction induced by SARS-CoV-2X-F Qiao, L-Y Han, Y-F Li, et al.
The New Phytologist|September 15, 2005
Prediction of functional class of novel plant proteins by a statistical learning methodL Y Han, C J Zheng, H H Lin, et al.
Clinical Pharmacology and Therapeutics|December 23, 2006
PharmGED: pharmacogenetic effect databaseB Xie, C J Zheng, L Y Han, et al.
Journal of Pharmaceutical Sciences|September 6, 2007
Machine learning approaches for predicting compounds that interact with therapeutic and ADMET related proteinsH Li, C W Yap, C Y Ung, et al.
Pageof 8