Dariusz Plewczynski

Professor, Principal Investigator, SFGLab head

University of Warsaw

Poland

Research Interests

Explore related searches

Professors in Poland

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Professor Dariusz Plewczynski is a Principal Investigator and head of SFGLab at Warsaw University of Technology, Poland. His research focuses on the integration of artificial intelligence in medical diagnostics, particularly in lung cancer, as well as epigenetics and chromatin modeling. Recent articles authored by him explore various dimensions of genomic data analysis, chromatin reorganization, and their implications in cancer development.

Articles (20)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (15)

Michal J. Dabrowski

Head of the Lab

Institute of Computer Science, Polish Academy of Sciences

POLAND

Dariusz Plewczynski

Research Interests

Explore related searches

Contact this professor

About

Articles (20)

Integrating Artificial Intelligence in Bronchoscopy and Endobronchial Ultrasound (EBUS) for Lung Cancer Diagnosis and Staging: A Comprehensive Review

The challenge of chromatin model comparison and validation: A project from the first international 4D Nucleome Hackathon

Unveiling Epigenetic Regulatory Elements Associated with Breast Cancer Development

Highly Variable Expressivity of a CNV Deletion Involving TBX4 in Three Deceased Siblings With Lung Developmental Disorder and Their Mildly Affected Mother and Grandfather

Improved cohesin HiChIP protocol and bioinformatic analysis for robust detection of chromatin loops and stripes

Global chromatin reorganization and regulation of genes with specific evolutionary ages during differentiation and cancer

Structural Variants and Implicated Processes Associated with Familial Tourette Syndrome

Advancements and future directions in single-cell Hi-C based 3D chromatin modeling

Multiscale molecular modeling of chromatin with MultiMM: From nucleosomes to the whole genome

A systematic analyses of different bioinformatics pipelines for genomic data and its impact on deep learning models for chromatin loop prediction

Promoter‐pervasive transcription causes RNA polymerase II pausing to boost DOG1 expression in response to salt

BERTrand—peptide:TCR binding prediction using Bidirectional Encoder Representations from Transformers augmented with random TCR pairing

3D-GNOME 3.0: a three-dimensional genome modelling engine for analysing changes of promoter-enhancer contacts in the human genome

ML-DTD: Machine Learning-Based Drug Target Discovery for the Potential Treatment of COVID-19

Rule-Based Pruning and In Silico Identification of Essential Proteins in Yeast PPIN

PRDX-1 Supports the Survival and Antitumor Activity of Primary and CAR-Modified NK Cells under Oxidative Stress

Current challenges in understanding the role of enhancers in disease

ConsensuSV—from the whole-genome sequencing data to the complete variant list

JUPPI: A Multi-Level Feature Based Method for PPI Prediction and a Refined Strategy for Performance Assessment

From DNA human sequence to the chromatin higher order organisation and its biological meaning: Using biomolecular interaction networks to understand the influence of structural variation on spatial genome organisation and its functional effect

Collaborators (15)

Michal J. Dabrowski

Salvatore Spicuglia

Agnieszka Graczyk-Jarzynka

Geert Geeven

Robin Andersson

Małgorzata Firczuk

Anup Kumar Halder

Pawel Cieszczyk

Bart Deplancke

Michal Wlasnowolski

Malgorzata Bajor

Ruslan Yatusevich

Cezary Żekanowski

Judith B. Zaugg

Szymon Swiezewski

Make your next move.