Author

Michał Gniot

Poznan University of Medical SciencesORCID 0000-0002-7535-3316Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Alicja WoźnaiD· 2 shared Maciej PiernikiD· 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

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersGenomics

Alicja WoźnaORCID

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2 papers

Recent·Most cited

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

Maciej Piernik, Dariusz Brzeziński, Paweł Sztromwasser, Klaudia Pacewicz, Weronika Majer-Burman, Michał Gniot, Dawid Sielski, Alicja Woźna, Pawel Zawadzki

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

bioRxiv · Feb 9, 2022 · PreprintGenomics

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, Maciej Piernik, Paweł Sztromwasser, M Dabrowski, Michał Gniot, Sławomir Szymański, Maciej Władysław Socha, Piotr Kasprzak, Rafał Matkowski, Paweł Zawadzki

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

Molecular Diagnosis & Therapy · Dec 21, 2021Peer-reviewedGenetic & Genomic Medicine