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

Manuel Middendorf

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 21, 2005
Information-theoretic approach to network modularityEtay Ziv, Manuel Middendorf, Chris H Wiggins
Proceedings of the National Academy of Sciences of the United States of America|February 25, 2005
Inferring network mechanisms: the Drosophila melanogaster protein interaction networkManuel Middendorf, Etay Ziv, Chris H Wiggins
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 9, 2005
Systematic identification of statistically significant network measuresEtay Ziv, Robin Koytcheff, Manuel Middendorf, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 19, 2006
Combining sequence and time series expression data to learn transcriptional modulesAnshul Kundaje, Manuel Middendorf, Feng Gao, et al.
Bioinformatics (Oxford, England)|July 21, 2004
Predicting genetic regulatory response using classificationManuel Middendorf, Anshul Kundaje, Chris Wiggins, et al.
BMC Bioinformatics|May 26, 2006
A classification-based framework for predicting and analyzing gene regulatory responseAnshul Kundaje, Manuel Middendorf, Mihir Shah, et al.
BMC Bioinformatics|November 24, 2004
Discriminative topological features reveal biological network mechanismsManuel Middendorf, Etay Ziv, Carter Adams, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 21, 2005
Information-theoretic approach to network modularityEtay Ziv, Manuel Middendorf, Chris H Wiggins
Proceedings of the National Academy of Sciences of the United States of America|February 25, 2005
Inferring network mechanisms: the Drosophila melanogaster protein interaction networkManuel Middendorf, Etay Ziv, Chris H Wiggins
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 9, 2005
Systematic identification of statistically significant network measuresEtay Ziv, Robin Koytcheff, Manuel Middendorf, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 19, 2006
Combining sequence and time series expression data to learn transcriptional modulesAnshul Kundaje, Manuel Middendorf, Feng Gao, et al.
Bioinformatics (Oxford, England)|July 21, 2004
Predicting genetic regulatory response using classificationManuel Middendorf, Anshul Kundaje, Chris Wiggins, et al.
BMC Bioinformatics|May 26, 2006
A classification-based framework for predicting and analyzing gene regulatory responseAnshul Kundaje, Manuel Middendorf, Mihir Shah, et al.
BMC Bioinformatics|November 24, 2004
Discriminative topological features reveal biological network mechanismsManuel Middendorf, Etay Ziv, Carter Adams, et al.
Pageof 1