Reliability assessment of null allele detection: inconsistencies between and within different methods

Michał J. Dąbrowski, Małgorzata Pilot, Marcin Kruczyk, +3

Molecular Ecology Resources

Genetic TestingNull Allele DetectionMeasurementGeneticsReliability Assessment +19

‘True’ null allele detection in microsatellite loci: a comparison of methods, assessment of difficulties and survey of possible improvements

Michał J. Dąbrowski, Susanne Bornelöv, Marcin Kruczyk, +2

Molecular Ecology Resources

Genetic TestingNull Allele DetectionSimulated Null AllelesGeneticsGenomics +17

A Significant Regulatory Mutation Burden at a High-Affinity Position of the CTCF Motif in Gastrointestinal Cancers

Husen M. Umer, Marco Cavalli, Michał J. Dąbrowski, +5

Human Mutation

EngineeringPathologyMutated MotifsTumor BiologyCtcf Motif +18

New, previously unreported correlations between latent Toxoplasma gondii infection and excessive ethanol consumption

Dorota Samojłowicz, Aleksandra Borowska-Solonynko, Marcin Kruczyk

Forensic Science International

Excessive Ethanol ConsumptionPathogenesisPathologyMedicineParasitology +1

Monte Carlo feature selection and rule-based models to predict Alzheimer’s disease in mild cognitive impairment

Marcin Kruczyk, Henrik Zetterberg, Oskar Hansson, +6

Journal of Neural Transmission

Neurodegenerative DiseasesAlzheimer's DiseaseRule-based ModelsEngineeringFeature Selection +5

Integration of genome-wide of Stat3 binding and epigenetic modification mapping with transcriptome reveals novel Stat3 target genes in glioma cells

Marcin Kruczyk, Piotr Przanowski, Michał Dąbrowski, +8

Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms

Functional GenomicsSignaling PathwayGliomaStat3 BindingGenetics +8

Peak Finder Metaserver - a novel application for finding peaks in ChIP-seq data

Marcin Kruczyk, Husen M. Umer, Stefan Enroth, +1

BMC Bioinformatics

Maps of context-dependent putative regulatory regions and genomic signal interactions

Klev Diamanti, Husen M. Umer, Marcin Kruczyk, +4

Nucleic Acids Research

Random Reducts: A Monte Carlo Rough Set-based Method for Feature Selection in Large Datasets

Marcin Kruczyk, Nicholas Baltzer, Jakub Mieczkowski, +3

Fundamenta Informaticae