Jacek Biesiada

Connecting omics signatures of diseases, drugs, and mechanisms of actions with iLINCS

Vasileios Stathias, Amar Koleti, Mario Medvedovic, 2019, bioRxiv.

Predicting mechanism of action of cellular perturbations with pathway activity signatures

Mario Medvedovic, Siva Sivaganesan, Yan Ren, 2019, bioRxiv.

Infosel++: Information Based Feature Selection C++ Library

Wlodzislaw Duch, Marcin Blachnik, Jacek Biesiada, 2010, ICAISC.

Feature Selection Based on Information Theory Filters

Tomasz Winiarski, Włodzisław Duch, Krzysztof Grąbczewski, 2003 .

Feature Selection for High-Dimensional Data: A Kolmogorov-Smirnov Correlation-Based Filter

Wlodzislaw Duch, Jacek Biesiada, Wlodzislaw Duch, 2005, CORES.

Polska Bibliografia Literacka za rok 1983, część I

Jacek Biesiada, Ewa. Ziomkowa, 1990 .

On setting up and assessing docking simulations for virtual screening.

Aleksey A. Porollo, Jaroslaw Meller, Aleksey Porollo, 2012, Methods in molecular biology.

Information Theory vs. Correlation Based Feature Ranking Methods in Application to Metallurgical Problem Solving

Marcin Blachnik, Miroslaw Kordos, Jacek Biesiada, 2010, ICAISC.

Feature selection based on information theory, consistency and separability indices

Tomasz Winiarski, Włodzisław Duch, Krzysztof Grabczewski, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Feature Selection for High-Dimensional Data - A Pearson Redundancy Based Filter

Wlodzislaw Duch, Jacek Biesiada, Wlodzislaw Duch, 2008, Computer Recognition Systems 2.

A Kolmogorov-Smirnov Correlation-Based Filter for Microarray Data

Wlodzislaw Duch, Jacek Biesiada, Wlodzislaw Duch, 2007, ICONIP.

Survey of public domain software for docking simulations and virtual screening

Aleksey A. Porollo, Michal Kouril, Aleksey Porollo, 2011, Human Genomics.

VHL-regulated MiR-204 suppresses tumor growth through inhibition of LC3B-mediated autophagy in renal clear cell carcinoma.

Jarek Meller, Jacek Biesiada, D. Plas, 2012, Cancer cell.