Komorowski labb
Vårt laboratorium är inriktat på maskininlärning i biovetenskap. Vår forskning fokuserar på att utveckla modeller av biologiska system från stora genomdata genom att utveckla maskininlärning, statistiska metoder och algoritmer. Våra mål är tvåfaldiga: Att bidra till automatisering av modelleringsprocessen och att göra upptäckter inom biovetenskap.
Forskning
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Gruppmedlemmar
Publikationer
MindReader: Unsupervised Classification of Electroencephalographic Data
Ingår i Sensors, 2023
Ingår i Scientific Reports, 2022
Machine Learning-Based Analysis of Glioma Grades Reveals Co-Enrichment
Ingår i Cancers, 2022
Organ-specific metabolic pathways distinguish prediabetes, type 2 diabetes, and normal tissues
Ingår i Cell Reports Medicine, 2022
Ingår i Blood Advances, s. 152-164, 2022
Functional annotation of noncoding mutations in cancer
Ingår i Life Science Alliance, 2021
Ingår i Blood Advances, s. 900-912, 2021
Interleukin-15 response signature predicts RhCMV/SIV vaccine efficacy
Ingår i PLoS Pathogens, 2021
Interpretable Machine Learning Reveals Dissimilarities Between Subtypes of Autism Spectrum Disorder
Ingår i Frontiers in Genetics, 2021
Ingår i Nature Communications, 2021
MetaFetcheR: An R Package for Complete Mapping of Small-Compound Data
Ingår i Metabolites, 2021
Multifaceted regulation of hepatic lipid metabolism by YY1
Ingår i Life Science Alliance, 2021
Nucleolar rDNA folds into condensed foci with a specific combination of epigenetic marks
Ingår i The Plant Journal, s. 1534-1548, 2021
R.ROSETTA: an interpretable machine learning framework
Ingår i BMC Bioinformatics, 2021
Ingår i Omics, s. 180-194, 2020
- DOI för A Multi-Omics Approach to Liver Diseases: Integration of Single Nuclei Transcriptomics with Proteomics and HiCap Bulk Data in Human Liver
- Ladda ner fulltext (pdf) av A Multi-Omics Approach to Liver Diseases: Integration of Single Nuclei Transcriptomics with Proteomics and HiCap Bulk Data in Human Liver
Analyses of non-coding somatic drivers in 2,658 cancer whole genomes
Ingår i Nature, s. 102-111, 2020
Ingår i Communications Biology, 2020
Ingår i Scientific Reports, 2020
- DOI för Integration of whole-body [18F]FDG PET/MRI with non-targeted metabolomics can provide new insights on tissue-specific insulin resistance in type 2 diabetes
- Ladda ner fulltext (pdf) av Integration of whole-body [18F]FDG PET/MRI with non-targeted metabolomics can provide new insights on tissue-specific insulin resistance in type 2 diabetes
Pan-cancer analysis of whole genomes
Ingår i Nature, s. 82-93, 2020
Ingår i Scientific Reports, 2019
Ingår i Journal of Psychiatric Research, s. 41-47, 2019
Ingår i Scientific Reports, 2019
- DOI för Intra- and inter-individual metabolic profiling highlights carnitine and lysophosphatidylcholine pathways as key molecular defects in type 2 diabetes
- Ladda ner fulltext (pdf) av Intra- and inter-individual metabolic profiling highlights carnitine and lysophosphatidylcholine pathways as key molecular defects in type 2 diabetes
Macrophage-associated wound healing contributes to African green monkey SIV pathogenesis control
Ingår i Nature Communications, 2019
Ingår i Human Genomics, 2019
- DOI för Studies of liver tissue identify functional gene regulatory elements associated to gene expression, type 2 diabetes, and other metabolic diseases
- Ladda ner fulltext (pdf) av Studies of liver tissue identify functional gene regulatory elements associated to gene expression, type 2 diabetes, and other metabolic diseases
Ingår i Genes, 2018
Ingår i Scientific Reports, 2018
PiiL: visualization of DNA methylation and gene expression data in gene pathways
Ingår i BMC Genomics, 2017
Ingår i International Journal of Cancer, s. 200-209, 2017
Ingår i Human Mutation, s. 904-913, 2016
Combinatorial identification of DNA methylation patterns over age in the human brain
Ingår i BMC Bioinformatics, 2016
Ingår i BMC Genomics, 2016
- DOI för Identification of combinatorial host-specific signatures with a potential to affect host adaptation in influenza A H1N1 and H3N2 subtypes
- Ladda ner fulltext (pdf) av Identification of combinatorial host-specific signatures with a potential to affect host adaptation in influenza A H1N1 and H3N2 subtypes
Maps of context-dependent putative regulatory regions and genomic signal interactions
Ingår i Nucleic Acids Research, s. 9110-9120, 2016
Ingår i BMC Microbiology, 2015
Ingår i BMC Genomics, 2015
- DOI för Different distribution of histone modifications in genes with unidirectional and bidirectional transcription and a role of CTCF and cohesin in directing transcription
- Ladda ner fulltext (pdf) av Different distribution of histone modifications in genes with unidirectional and bidirectional transcription and a role of CTCF and cohesin in directing transcription
Ingår i Molecular Ecology Resources, s. 477-488, 2015
Ciruvis: a web-based tool for rule networks and interaction detection using rule-based classifiers
Ingår i BMC Bioinformatics, s. 139, 2014
Ingår i Biochimica et Biophysica Acta, s. 1341-1350, 2014
Nucleosome regulatory dynamics in response to TGF beta
Ingår i Nucleic Acids Research, s. 6921-6934, 2014
Nucleosome regulatory dynamics in response to TGF-beta treatment in HepG2 cells
Ingår i Nucleic Acids Research, s. 6921-6934, 2014
Ingår i Journal of Molecular Medicine, s. 239-254, 2014
Ingår i BMC Medical Genomics, s. 50, 2013
Peak Finder Metaserver - a novel application for finding peaks in ChIP-seq data
Ingår i BMC Bioinformatics, s. 280, 2013
Random Reducts: A Monte Carlo Rough Set-based Method for Feature Selection in Large Datasets
Ingår i Fundamenta Informaticae, s. 273-288, 2013
Rule-Based Models of the Interplay between Genetic and Environmental Factors in Childhood Allergy
Ingår i PLOS ONE, 2013
Ingår i Algorithms for Molecular Biology, s. 2, 2012
- DOI för A strand specific high resolution normalization method for chip-sequencing data employing multiple experimental control measurements
- Ladda ner fulltext (pdf) av A strand specific high resolution normalization method for chip-sequencing data employing multiple experimental control measurements
Combinations of histone modifications mark exon inclusion levels
Ingår i PLOS ONE, 2012
Gis1 and Rph1 Regulate Glycerol and Acetate Metabolism in Glucose Depleted Yeast Cells
Ingår i PLOS ONE, 2012
Ingår i Journal of neural transmission, s. 821-831, 2012
Ingår i BMC Cancer, s. 450, 2011
- DOI för Cancer associated epigenetic transitions identified by genome-wide histone methylation binding profiles in human colorectal cancer samples and paired normal mucosa
- Ladda ner fulltext (pdf) av Cancer associated epigenetic transitions identified by genome-wide histone methylation binding profiles in human colorectal cancer samples and paired normal mucosa
Focal amplifications are associated with high grade and recurrences in stage Ta bladder carcinoma
Ingår i International Journal of Cancer, s. 1390-1402, 2010
Medarbetare
Jan Komorowski, Professor
Carl Fredrik Barrenäs
Nicholas Baltzer
Karolina Smolinska Garbulowska
Sara Alaa Yones