Author

Maciej Piernik

Poznań University of TechnologyORCID 0000-0001-7281-284XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alicja WoźnaiD· 2 shared Michał GniotiD· 2 shared Paweł SztromwasseriD· 2 shared Dariusz BrzezińskiiD· 1 shared Dawid SielskiiD· 1 shared Klaudia PacewicziD· 1 shared M DabrowskiiD· 1 shared Maciej Władysław SochaiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersGenomics

Alicja WoźnaORCID

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3 papers

Recent·Most cited

GenomicsScientific ReportsPeer-reviewedSep 15, 2026

Large-scale transcriptomic meta-analysis identifies novel therapeutic targets for ulcerative colitis

Maciej Piernik, Małgorzata Adamiec‐Organiściok, Magdalena Skonieczna, Piotr Eder

This study identifies novel therapeutic targets for ulcerative colitis by analyzing transcriptomic data from multiple cohorts, distinguishing between inflammation-dependent and constitutive changes.

DOI 10.1038/s41598-026-71570-7

humanbulk RNA-seq

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GenomicsbioRxivPreprintFeb 9, 2022

DBFE: Distribution-based feature extraction from copy number and structural variants in whole-genome data

Maciej Piernik, Dariusz Brzeziński, Paweł Sztromwasser…·Pawel Zawadzki

DBFE extracts features from genomic variants to improve classifier learning in cancer genomics, identifying biomarkers linked to cancer subtypes and treatment response.

DOI 10.1101/2022.02.09.479712

humanwhole-genome sequencing

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Genetic & Genomic MedicineMolecular Diagnosis & TherapyPeer-reviewedDec 21, 2021

Validation of HER2 status in whole genome sequencing data of breast cancers with AI-driven, ploidy-corrected approach

Marzena Liliana Wojtaszewska, Rafał Stępień, Alicja Woźna…·Paweł Zawadzki

The paper develops an AI-driven, ploidy-corrected method using whole genome sequencing to accurately determine HER2 status in breast cancer patients.

3 citations

humanwhole-genome sequencing

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