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

Wyeth W Wasserman

Showing results (31-40 of 182) with videos related to

Pageof 19
Sort By:
Genome Biology|September 28, 2021
Biologically relevant transfer learning improves transcription factor binding predictionGherman Novakovsky, Manu Saraswat, Oriol Fornes, et al.
Expert Review of Molecular Diagnostics|March 10, 2017
Impact of next-generation sequencing on diagnosis and management of neurometabolic disorders: current advances and future perspectivesMaja Tarailo-Graovac, Wyeth W Wasserman, Clara D M Van Karnebeek
Nucleic Acids Research|December 19, 2003
JASPAR: an open-access database for eukaryotic transcription factor binding profilesAlbin Sandelin, Wynand Alkema, Pär Engström, et al.
BMC Genomics|June 15, 2014
Improving analysis of transcription factor binding sites within ChIP-Seq data based on topological motif enrichmentRebecca Worsley Hunt, Anthony Mathelier, Luis Del Peso, et al.
Nucleic Acids Research|June 25, 2004
MSCAN: identification of functional clusters of transcription factor binding sitesWynand B L Alkema, Ojvind Johansson, Jens Lagergren, et al.
Bio Systems|October 27, 2015
The identification of cis-regulatory elements: A review from a machine learning perspectiveYifeng Li, Chih-Yu Chen, Alice M Kaye, et al.
Bioinformatics (Oxford, England)|March 15, 2022
RevUP: an online scoring system for regulatory variants implicated in rare diseasesSolenne Correard, Brittany Hewitson, Robin van der Lee, et al.
Epigenetics & Chromatin|February 18, 2021
Cross-species examination of X-chromosome inactivation highlights domains of escape from silencingBradley P Balaton, Oriol Fornes, Wyeth W Wasserman, et al.
Genome Biology|June 27, 2023
ExplaiNN: interpretable and transparent neural networks for genomicsGherman Novakovsky, Oriol Fornes, Manu Saraswat, et al.
Nature Reviews. Genetics|October 3, 2022
Obtaining genetics insights from deep learning via explainable artificial intelligenceGherman Novakovsky, Nick Dexter, Maxwell W Libbrecht, et al.
Pageof 19

Showing results (31-40 of 182) with videos related to

Sort By:
Pageof 19
Genome Biology|September 28, 2021
Biologically relevant transfer learning improves transcription factor binding predictionGherman Novakovsky, Manu Saraswat, Oriol Fornes, et al.
Expert Review of Molecular Diagnostics|March 10, 2017
Impact of next-generation sequencing on diagnosis and management of neurometabolic disorders: current advances and future perspectivesMaja Tarailo-Graovac, Wyeth W Wasserman, Clara D M Van Karnebeek
Nucleic Acids Research|December 19, 2003
JASPAR: an open-access database for eukaryotic transcription factor binding profilesAlbin Sandelin, Wynand Alkema, Pär Engström, et al.
BMC Genomics|June 15, 2014
Improving analysis of transcription factor binding sites within ChIP-Seq data based on topological motif enrichmentRebecca Worsley Hunt, Anthony Mathelier, Luis Del Peso, et al.
Nucleic Acids Research|June 25, 2004
MSCAN: identification of functional clusters of transcription factor binding sitesWynand B L Alkema, Ojvind Johansson, Jens Lagergren, et al.
Bio Systems|October 27, 2015
The identification of cis-regulatory elements: A review from a machine learning perspectiveYifeng Li, Chih-Yu Chen, Alice M Kaye, et al.
Bioinformatics (Oxford, England)|March 15, 2022
RevUP: an online scoring system for regulatory variants implicated in rare diseasesSolenne Correard, Brittany Hewitson, Robin van der Lee, et al.
Epigenetics & Chromatin|February 18, 2021
Cross-species examination of X-chromosome inactivation highlights domains of escape from silencingBradley P Balaton, Oriol Fornes, Wyeth W Wasserman, et al.
Genome Biology|June 27, 2023
ExplaiNN: interpretable and transparent neural networks for genomicsGherman Novakovsky, Oriol Fornes, Manu Saraswat, et al.
Nature Reviews. Genetics|October 3, 2022
Obtaining genetics insights from deep learning via explainable artificial intelligenceGherman Novakovsky, Nick Dexter, Maxwell W Libbrecht, et al.
Pageof 19