Search research articles
Contact Us
Filters
Showing results (1-10 of 12) with videos related to
Page
of 2
Sort By:
Bioinformatics (Oxford, England)
|
March 20, 2009
Artefacts and biases affecting the evaluation of scoring functions on decoy sets for protein structure prediction
Julia Handl, Joshua Knowles, Simon C Lovell
Bioinformatics (Oxford, England)
|
May 26, 2005
Computational cluster validation in post-genomic data analysis
Julia Handl, Joshua Knowles, Douglas B Kell
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
May 3, 2007
Multiobjective optimization in bioinformatics and computational biology
Julia Handl, Douglas B Kell, Joshua Knowles
Bioinformatics (Oxford, England)
|
April 6, 2010
Streamlining the construction of large-scale dynamic models using generic kinetic equations
Delali A Adiamah, Julia Handl, Jean-Marc Schwartz
Proteins
|
January 23, 2016
Toward a detailed understanding of search trajectories in fragment assembly approaches to protein structure prediction
Shaun M Kandathil, Julia Handl, Simon C Lovell
Metabolomics : Official Journal of the Metabolomic Society
|
March 10, 2015
A 'rule of 0.5' for the metabolite-likeness of approved pharmaceutical drugs
Steve O Hagan, Neil Swainston, Julia Handl, et al.
Biology Methods & Protocols
|
August 8, 2024
Deep learning pipeline reveals key moments in human embryonic development predictive of live birth after in vitro fertilization
Camilla Mapstone, Helen Hunter, Daniel Brison, et al.
International Journal of Environmental Research and Public Health
|
January 22, 2021
Surviving Burn Injury: Drivers of Length of Hospital Stay
Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, et al.
Proteins
|
November 19, 2011
The dual role of fragments in fragment-assembly methods for de novo protein structure prediction
Julia Handl, Joshua Knowles, Robert Vernon, et al.
Biomolecules
|
October 18, 2019
Reliable Generation of Native-Like Decoys Limits Predictive Ability in Fragment-Based Protein Structure Prediction
Shaun M Kandathil, Mario Garza-Fabre, Julia Handl, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Bioinformatics (Oxford, England)
|
March 20, 2009
Artefacts and biases affecting the evaluation of scoring functions on decoy sets for protein structure prediction
Julia Handl, Joshua Knowles, Simon C Lovell
Bioinformatics (Oxford, England)
|
May 26, 2005
Computational cluster validation in post-genomic data analysis
Julia Handl, Joshua Knowles, Douglas B Kell
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
May 3, 2007
Multiobjective optimization in bioinformatics and computational biology
Julia Handl, Douglas B Kell, Joshua Knowles
Bioinformatics (Oxford, England)
|
April 6, 2010
Streamlining the construction of large-scale dynamic models using generic kinetic equations
Delali A Adiamah, Julia Handl, Jean-Marc Schwartz
Proteins
|
January 23, 2016
Toward a detailed understanding of search trajectories in fragment assembly approaches to protein structure prediction
Shaun M Kandathil, Julia Handl, Simon C Lovell
Metabolomics : Official Journal of the Metabolomic Society
|
March 10, 2015
A 'rule of 0.5' for the metabolite-likeness of approved pharmaceutical drugs
Steve O Hagan, Neil Swainston, Julia Handl, et al.
Biology Methods & Protocols
|
August 8, 2024
Deep learning pipeline reveals key moments in human embryonic development predictive of live birth after in vitro fertilization
Camilla Mapstone, Helen Hunter, Daniel Brison, et al.
International Journal of Environmental Research and Public Health
|
January 22, 2021
Surviving Burn Injury: Drivers of Length of Hospital Stay
Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, et al.
Proteins
|
November 19, 2011
The dual role of fragments in fragment-assembly methods for de novo protein structure prediction
Julia Handl, Joshua Knowles, Robert Vernon, et al.
Biomolecules
|
October 18, 2019
Reliable Generation of Native-Like Decoys Limits Predictive Ability in Fragment-Based Protein Structure Prediction
Shaun M Kandathil, Mario Garza-Fabre, Julia Handl, et al.
Page
of 2