N. Baltzer

发表

Allele specific chromatin signals, 3D interactions, and motif predictions for immune and B cell related diseases

Husen M. Umer, Ioana M. Lemnian, Jan Grau, 2019, Scientific Reports.

Using Feature Synthesis to discern non-linear interactions via composites

N. Baltzer, 2013 .

Studies of liver tissue identify functional gene regulatory elements associated to gene expression, type 2 diabetes, and other metabolic diseases

J. Komorowski, C. Wadelius, Chanchal Kumar, 2019, Human Genomics.

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

Jan Komorowski, Nicholas Baltzer, Jacek Koronacki, 2013, Fundam. Informaticae.

Predictive Healthcare: Cervical Cancer Screening Risk Stratification and Genetic Disease Markers

NICHOLAS BALTZER, N. Baltzer, 2019 .

R.ROSETTA: an interpretable machine learning framework

Susanne Bornelöv, Mateusz Garbulowski, Nicholas Baltzer, 2019, bioRxiv.

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

J. Komorowski, M. Kruczyk, S. Bornelöv, 2015, Molecular ecology resources.

Jan Komorowski, Nicholas Baltzer, J. Komorowski, 2020, Trans. Rough Sets.

R.ROSETTA: an interpretable machine learning framework

L. Feuk, J. Komorowski, Aleksander Øhrn, 2019, BMC Bioinformatics.

Allele specific chromatin signals, 3D interactions, and motif predictions for immune and B cell related diseases

Ioana M. Lemnian, Jan Grau, J. Komorowski, 2019, Scientific Reports.

R.ROSETTA: an interpretable machine learning framework

Jan Komorowski, Susanne Bornelöv, Mateusz Garbulowski, 2019, BMC Bioinformatics.

Risk stratification in cervical cancer screening by complete screening history: Applying bioinformatics to a general screening population

J. Komorowski, J. Dillner, J. Nygård, 2017, International journal of cancer.