Dr Adam Kowalczyk
University Guest (Academic)
Department of Biomedical Engineering
44 Scholarly works
3 Projects
HIGHLIGHTS
2020
Journal article
Improved HLA-based prediction of coeliac disease identifies two novel genetic interactions
DOI: 10.1038/s41431-020-0700-22019
Journal article
Exploring effective approaches for haplotype block phasing
DOI: 10.1186/s12859-019-3095-82019
Research Grant
Risk Prediction in AMD - Can We Do Better
2018
Journal article
Effect of outpatient antibiotics for urinary tract infections on antimicrobial resistance among commensal Enterobacteriaceae: a multinational prospective cohort study
DOI: 10.1016/j.cmi.2017.12.0262017
Conference Proceedings
Periprostatic fat holds a field-effect transcriptional signature of cancer grade
2017
Journal article
Interactions within the MHC contribute to the genetic architecture of celiac disease
DOI: 10.1371/journal.pone.01728262013
Journal article
Massively-parallel sequencing assists the diagnosis and guided treatment of cancers of unknown primary
DOI: 10.1002/path.4251
RECENT SCHOLARLY WORKS
2017
Journal article
Standardized ETDRS charts for mobile devices
DOI: 10.4302/plp.v9i3.7572016
Journal article
Use of a novel nonparametric version of DEPTH to identify genomic regions associated with prostate cancer risk
DOI: 10.1158/1055-9965.EPI-16-03012016
Journal article
A urinary microRNA signature can predict the presence of bladder urothelial carcinoma in patients undergoing surveillance
DOI: 10.1038/bjc.2015.4722015
Journal article
Development and validation of a gene expression tumour classifier for cancer of unknown primary
DOI: 10.1097/PAT.00000000000001942014
Conference Proceedings
GWISFI: A universal GPU interface for exhaustive search of pairwise interactions in case-control GWAS in minutes
DOI: 10.1109/BIBM.2014.6999192
RECENT PROJECTS
2012
Research Grant
Complex Statistical Analyses of Genome-Wide Association Studies Related to Breast and Prostate Cancers Using High Performance Supercomputing
Research Contracts
Multivariate Analysis and Software Design for Genome-Wide Association Studies