Fast search of third-order epistatic interactions on CPU and GPU clusters
C Ponte-Fernández… - … Journal of High …, 2020 - journals.sagepub.com
Genome-Wide Association Studies (GWASs), analyses that try to find a link between a given
phenotype (such as a disease) and genetic markers, have been growing in popularity in the …
phenotype (such as a disease) and genetic markers, have been growing in popularity in the …
Refining the genetic risk of breast cancer with rare haplotypes and pattern mining
W Letsou, F Wang, W Moon, C Im… - Life science …, 2023 - life-science-alliance.org
Hundreds of common variants have been found to confer small but significant differences in
breast cancer risk, supporting the widely accepted polygenic model of inherited …
breast cancer risk, supporting the widely accepted polygenic model of inherited …
CASMAP: detection of statistically significant combinations of SNPs in association map**
Combinatorial association map** aims to assess the statistical association of higher-order
interactions of genetic markers with a phenotype of interest. This article presents …
interactions of genetic markers with a phenotype of interest. This article presents …
Machine learning to reveal hidden risk combinations for the trajectory of posttraumatic stress disorder symptoms
The nature of the recovery process of posttraumatic stress disorder (PTSD) symptoms is
multifactorial. The Massive Parallel Limitless-Arity Multiple-testing Procedure (MP-LAMP) …
multifactorial. The Massive Parallel Limitless-Arity Multiple-testing Procedure (MP-LAMP) …
A fast and scalable workflow for SNPs detection in genome sequences using hadoop map-reduce
Next generation sequencing (NGS) technologies produce a huge amount of biological data,
which poses various issues such as requirements of high processing time and large …
which poses various issues such as requirements of high processing time and large …
Potential Misrepresentation of Inherited Breast Cancer Risk by Common Germline Alleles
W Letsou, F Wang, W Moon, C Im, Y Sapkota… - medRxiv, 2022 - medrxiv.org
Hundreds of common variants have been found to confer small but significant differences in
breast cancer risk, supporting the polygenic additive model of inherited risk. This widely …
breast cancer risk, supporting the polygenic additive model of inherited risk. This widely …
[PDF][PDF] Significant Pattern Mining for Biomarker Discovery
F Llinares-López - 2018 - research-collection.ethz.ch
Biomarker discovery, the search for measurable biological indicators of a phenotypic trait of
interest, is a fundamental problem in healthcare and computational biology. Biomarkers help …
interest, is a fundamental problem in healthcare and computational biology. Biomarkers help …
[PDF][PDF] Machine learning on molecular networks to decipher the genetics underlying complex traits
A Gum**er - 2020 - research-collection.ethz.ch
The past decades have been coined by technological advancements at remarkable rates,
leading to the generation and collection of unprecedented amounts of data. This is …
leading to the generation and collection of unprecedented amounts of data. This is …
Summarizing significant subgraphs by probabilistic logic programming
Although recent advances of significant subgraph mining enable us to find subgraphs that
are statistically significantly associated with the class variable from graph databases, it is …
are statistically significantly associated with the class variable from graph databases, it is …
MotiMul: A significant discriminative sequence motif discovery algorithm with multiple testing correction
Sequence motifs play essential roles in intermolecular interactions such as DNA-protein
interactions. The discovery of novel sequence motifs is therefore crucial for revealing gene …
interactions. The discovery of novel sequence motifs is therefore crucial for revealing gene …