Author

Wojciech Lesiński

University of BiałystokORCID 0000-0001-6628-9466Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Witold Remigiusz RudnickiiD· 2 shared Adam GodzikiD· 1 shared Adriano ChiòiD· 1 shared Adrienne O’DonnelliD· 1 shared Agnieszka Kitlas GolińskaiD· 1 shared Alex G. Karanevich· 1 shared Anatoly ChernysheviD· 1 shared Aneta Polewko-KlimiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersMicrobiology

Witold Remigiusz RudnickiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

MicrobiologyFrontiers in GeneticsPeer-reviewedJan 29, 2025

Antimicrobial Resistance in Diverse Urban Microbiomes: Uncovering Patterns and Predictive Markers

Rodolfo Brizola Toscan, Wojciech Lesiński, Piotr Stomma…·Witold Remigiusz Rudnicki

This study analyzes AMR in urban microbiomes using metagenomic data, finding that AMR++ and Bowtie are effective for detecting AMR genes and that MGEs significantly impact resistome modeling.

4 citations

metagenomicsdeep learning

𝕏 PostBluesky

BioinformaticsScientific ReportsPeer-reviewedJan 24, 2019

Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach

Robert Kueffner, Neta Zach, Maya Bronfeld…·Shihua Zhang

This study uses a crowdsourcing approach to stratify ALS patients, identifying four distinct clusters with unique predictors and improving outcome prediction.

55 citationstop 3%

humanmachine learning (classical)

𝕏 PostBluesky