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

Jesse Eickholt

Showing results (1-10 of 25) with videos related to

Pageof 3
Sort By:
BMC Research Notes|November 20, 2014
PCP-ML: protein characterization package for machine learningJesse Eickholt, Zheng Wang
BMC Bioinformatics|March 19, 2013
DNdisorder: predicting protein disorder using boosting and deep networksJesse Eickholt, Jianlin Cheng
Bioinformatics (Oxford, England)|October 11, 2012
Predicting protein residue-residue contacts using deep networks and boostingJesse Eickholt, Jianlin Cheng
BMC Bioinformatics|November 26, 2013
A study and benchmark of DNcon: a method for protein residue-residue contact prediction using deep networksJesse Eickholt, Jianlin Cheng
BMC Structural Biology|October 13, 2011
A conformation ensemble approach to protein residue-residue contactJesse Eickholt, Zheng Wang, Jianlin Cheng
Molecular Biosystems|August 30, 2011
A comprehensive overview of computational protein disorder prediction methodsXin Deng, Jesse Eickholt, Jianlin Cheng
Bioinformatics (Oxford, England)|May 7, 2011
APOLLO: a quality assessment service for single and multiple protein modelsZheng Wang, Jesse Eickholt, Jianlin Cheng
Bioinformatics (Oxford, England)|February 13, 2010
MULTICOM: a multi-level combination approach to protein structure prediction and its assessments in CASP8Zheng Wang, Jesse Eickholt, Jianlin Cheng
BMC Bioinformatics|February 3, 2011
DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learningJesse Eickholt, Xin Deng, Jianlin Cheng
BMC Bioinformatics|December 23, 2009
PreDisorder: ab initio sequence-based prediction of protein disordered regionsXin Deng, Jesse Eickholt, Jianlin Cheng
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
BMC Research Notes|November 20, 2014
PCP-ML: protein characterization package for machine learningJesse Eickholt, Zheng Wang
BMC Bioinformatics|March 19, 2013
DNdisorder: predicting protein disorder using boosting and deep networksJesse Eickholt, Jianlin Cheng
Bioinformatics (Oxford, England)|October 11, 2012
Predicting protein residue-residue contacts using deep networks and boostingJesse Eickholt, Jianlin Cheng
BMC Bioinformatics|November 26, 2013
A study and benchmark of DNcon: a method for protein residue-residue contact prediction using deep networksJesse Eickholt, Jianlin Cheng
BMC Structural Biology|October 13, 2011
A conformation ensemble approach to protein residue-residue contactJesse Eickholt, Zheng Wang, Jianlin Cheng
Molecular Biosystems|August 30, 2011
A comprehensive overview of computational protein disorder prediction methodsXin Deng, Jesse Eickholt, Jianlin Cheng
Bioinformatics (Oxford, England)|May 7, 2011
APOLLO: a quality assessment service for single and multiple protein modelsZheng Wang, Jesse Eickholt, Jianlin Cheng
Bioinformatics (Oxford, England)|February 13, 2010
MULTICOM: a multi-level combination approach to protein structure prediction and its assessments in CASP8Zheng Wang, Jesse Eickholt, Jianlin Cheng
BMC Bioinformatics|February 3, 2011
DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learningJesse Eickholt, Xin Deng, Jianlin Cheng
BMC Bioinformatics|December 23, 2009
PreDisorder: ab initio sequence-based prediction of protein disordered regionsXin Deng, Jesse Eickholt, Jianlin Cheng
Pageof 3