Bartek Wilczynski

发表

FastBill: An Improved Tool for Prediction of Cis-Regulatory Modules

Bartek Wilczynski, Jerzy Tiuryn, B. Wilczyński, 2017, J. Comput. Biol..

Fast Parallel Bayesian Networks Reconstruction with BNFinder

Bartek Wilczynski, Alina Frolova, B. Wilczyński, 2014, IWBBIO.

Using local gene expression similarities to discover regulatory binding site modules

Bartek Wilczynski, Jerzy Tiuryn, Jan Komorowski, 2006, BMC Bioinformatics.

BPscore: An Effective Metric for Meaningful Comparisons of Structural Chromosome Segmentations

Bartek Wilczynski, Rafal Zaborowski, 2019, J. Comput. Biol..

BNFinder2: Faster Bayesian network learning and Bayesian classification

Bartek Wilczynski, Norbert Dojer, Pawel Bednarz, 2013, Bioinform..

Active enhancer positions can be accurately predicted from chromatin marks and collective sequence motif data

Bartek Wilczynski, Wieslaw Paja, Witold R. Rudnicki, 2013, BMC Systems Biology.

Finding evolutionarily conserved cis-regulatory modules with a universal set of motifs

Bartek Wilczynski, Jerzy Tiuryn, Norbert Dojer, 2009, BMC Bioinformatics.

BNFinder: exact and efficient method for learning Bayesian networks

Bartek Wilczynski, Norbert Dojer, B. Wilczyński, 2008, Bioinform..

DiffTAD: Detecting Differential contact frequency in Topologically Associating Domains Hi-C experiments between conditions

Bartek Wilczynski, Rafal Zaborowski, B. Wilczyński, 2016, bioRxiv.

Biopython: freely available Python tools for computational molecular biology and bioinformatics

Bartek Wilczynski, Thomas Hamelryck, Jeffrey T. Chang, 2009, Bioinform..

Machine learning and deep learning for the advancement of epigenomics

Bartek Wilczynski, Magdalena A. Machnicka, B. Wilczyński, 2020, Epigenetics of the Immune System.

Supervised learning method for predicting chromatin boundary associated insulator elements

Bartek Wilczynski, Pawel Bednarz, B. Wilczyński, 2014, J. Bioinform. Comput. Biol..

A Computer Scientist's Guide to the Regulatory Genome

Bartek Wilczynski, Torgeir R. Hvidsten, B. Wilczyński, 2010, Fundam. Informaticae.

MEMOFinder: combining de novo motif prediction methods with a database of known motifs

Bartek Wilczynski, Jerzy Tiuryn, Milosz Darzynkiewicz, 2008 .

Optimally choosing PWM motif databases and sequence scanning approaches based on ChIP-seq data

Bartek Wilczynski, Bozena Kaminska, Michal Dabrowski, 2015, BMC Bioinformatics.

Regulatory Network Reconstruction Using Stochastic Logical Networks

Bartek Wilczynski, Jerzy Tiuryn, 2006, CMSB.

Modeling Cell Populations in Development using Individual Stochastic Regulatory Networks

Bartek Wilczynski, Pawel Bednarz, 2012, SIMULTECH.

DiADeM: differential analysis via dependency modelling of chromatin interactions with generalized linear models

Bartek Wilczynski, Rafal Zaborowski, B. Wilczyński, 2019, bioRxiv.

Predicting Spatial and Temporal Gene Expression Using an Integrative Model of Transcription Factor Occupancy and Chromatin State

Bartek Wilczynski, Eileen E. M. Furlong, Ya-Hsin Liu, 2012, PLoS Comput. Biol..

Distributed Bayesian Networks Reconstruction on the Whole Genome Scale

Bartek Wilczynski, Alina Frolova, 2015 .

Applying dynamic Bayesian networks to perturbed gene expression data

Bartek Wilczynski, Jerzy Tiuryn, Andrzej Mizera, 2006, BMC Bioinformatics.

Bio.Ontology - Python tools for enrichment analysis and visualization of ontologies

Bartek Wilczynski, Julia Herman-Izycka, Kamil Koziara, 2016 .

BPscore: an effective metric for meaningful comparisons of structural chromosome segmentations

Bartek Wilczynski, Rafal Zaborowski, B. Wilczyński, 2018, bioRxiv.