A new evolutionary rough fuzzy integrated machine learning technique for microRNA selection using next-generation sequencing data of breast cancer. - Jnanendra Prasad Sarkar; Indrajit Saha; Somnath Rakshit; Monalisa Pal; Michal Wlasnowolski; Anasua Sarkar; Ujjwal Maulik; Dariusz Plewczynski (GECCO (Companion), 2019)

Deep Learning for Detection and Localization of Thoracic Diseases Using Chest X-Ray Imagery. - Somnath Rakshit; Indrajit Saha; Michal Wlasnowolski; Ujjwal Maulik; Dariusz Plewczynski (ICAISC (2), 2019)

Identification of Epigenetic Biomarkers with the use of Gene Expression and DNA Methylation for Breast Cancer Subtypes. - Indrajit Saha; Somnath Rakshit; Michal Wlasnowolski; Dariusz Plewczynski (TENCON, 2019)

3D-GNOME 2.0: a three-dimensional genome modeling engine for predicting structural variation-driven alterations of chromatin spatial structure in the human genome. - Michal Wlasnowolski; Michal Sadowski; Tymon Czarnota; Karolina Jodkowska; Przemyslaw Szalaj; Zhonghui Tang; Yijun Ruan; Dariusz Plewczynski (Nucleic Acids Res., 2020)

3D-GNOME 3.0: a three-dimensional genome modelling engine for analysing changes of promoter-enhancer contacts in the human genome. - Michal Wlasnowolski; Michal Kadlof; Kaustav Sengupta; Dariusz Plewczynski (Nucleic Acids Res., 2023)

cudaMMC: GPU-enhanced multiscale Monte Carlo chromatin 3D modelling. - Michal Wlasnowolski; Pawel Z. Grabowski; Damian Roszczyk; Krzysztof Kaczmarski; Dariusz Plewczynski (Bioinform., 2023)