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Bartek Wilczyński

Showing results (1-10 of 17) with videos related to

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Journal of Theoretical Biology|December 3, 2019
Automated inference of gene regulatory networks using explicit regulatory modulesClémence Réda, Bartek Wilczyński
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|February 28, 2019
BPscore: An Effective Metric for Meaningful Comparisons of Structural Chromosome SegmentationsRafał Zaborowski, Bartek Wilczyński
Bioinformatics (Oxford, England)|October 2, 2008
BNFinder: exact and efficient method for learning Bayesian networksBartek Wilczyński, Norbert Dojer
Peerj|October 27, 2018
Distributed Bayesian networks reconstruction on the whole genome scaleAlina Frolova, Bartek Wilczyński
Journal of Bioinformatics and Computational Biology|November 12, 2014
Supervised learning method for predicting chromatin boundary associated insulator elementsPaweł Bednarz, Bartek Wilczyński
Molecular Systems Biology|June 24, 2010
Dynamic CRM occupancy reflects a temporal map of developmental progressionBartek Wilczyński, Eileen E M Furlong
Methods (San Diego, Calif.)|August 25, 2019
QChromosomeVisualizer: A new tool for 3D visualization of long simulations of polymer-like chromosome modelsBartłomiej Zawalski, Irina Tuszyńska, Bartek Wilczyński
International Journal of Molecular Sciences|August 7, 2021
K-mer Content Changes with Node Degree in Promoter-Enhancer Network of Mouse ES CellsKinga Szyman, Bartek Wilczyński, Michał Dąbrowski
BMC Research Notes|November 4, 2015
WeBIAS: a web server for publishing bioinformatics applicationsPaweł Daniluk, Bartek Wilczyński, Bogdan Lesyng
BMC Bioinformatics|May 10, 2006
Applying dynamic Bayesian networks to perturbed gene expression dataNorbert Dojer, Anna Gambin, Andrzej Mizera, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Journal of Theoretical Biology|December 3, 2019
Automated inference of gene regulatory networks using explicit regulatory modulesClémence Réda, Bartek Wilczyński
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|February 28, 2019
BPscore: An Effective Metric for Meaningful Comparisons of Structural Chromosome SegmentationsRafał Zaborowski, Bartek Wilczyński
Bioinformatics (Oxford, England)|October 2, 2008
BNFinder: exact and efficient method for learning Bayesian networksBartek Wilczyński, Norbert Dojer
Peerj|October 27, 2018
Distributed Bayesian networks reconstruction on the whole genome scaleAlina Frolova, Bartek Wilczyński
Journal of Bioinformatics and Computational Biology|November 12, 2014
Supervised learning method for predicting chromatin boundary associated insulator elementsPaweł Bednarz, Bartek Wilczyński
Molecular Systems Biology|June 24, 2010
Dynamic CRM occupancy reflects a temporal map of developmental progressionBartek Wilczyński, Eileen E M Furlong
Methods (San Diego, Calif.)|August 25, 2019
QChromosomeVisualizer: A new tool for 3D visualization of long simulations of polymer-like chromosome modelsBartłomiej Zawalski, Irina Tuszyńska, Bartek Wilczyński
International Journal of Molecular Sciences|August 7, 2021
K-mer Content Changes with Node Degree in Promoter-Enhancer Network of Mouse ES CellsKinga Szyman, Bartek Wilczyński, Michał Dąbrowski
BMC Research Notes|November 4, 2015
WeBIAS: a web server for publishing bioinformatics applicationsPaweł Daniluk, Bartek Wilczyński, Bogdan Lesyng
BMC Bioinformatics|May 10, 2006
Applying dynamic Bayesian networks to perturbed gene expression dataNorbert Dojer, Anna Gambin, Andrzej Mizera, et al.
Pageof 2