Improved IBD detection using incomplete haplotype information
BMC Genetics, 2010 Background The availability of high density genetic maps and genotyping platforms has transformed human genetic studies. The use of these platforms has enabled population-based genome-wide association studies.
Pollak Martin R +3 more
doaj +1 more source
Systematic genetic analysis of the MHC region reveals mechanistic underpinnings of HLA type associations with disease. [PDF]
, 2019 The MHC region is highly associated with autoimmune and infectious diseases. Here we conduct an in-depth interrogation of associations between genetic variation, gene expression and disease.
Aguiar +76 more
core +2 more sources
BMC Psychiatry, 2020 Background Machine learning (ML) algorithms and methods offer great tools to analyze large complex genomic datasets. Our goal was to compare the genomic architecture of schizophrenia (SCZ) and autism spectrum disorder (ASD) using ML.
Sameer Sardaar +5 more
doaj +1 more source
Improved sampling of the pareto-front in multiobjective genetic optimizations by steady-state evolution: a Pareto converging genetic algorithm [PDF]
, 2002 Previous work on multiobjective genetic algorithms has been focused on preventing genetic drift and the issue of convergence has been given little attention.
Goldberg D. E. +4 more
core +1 more source
A hierarchical statistical model for estimating population properties of quantitative genes
BMC Genetics, 2002 Background Earlier methods for detecting major genes responsible for a quantitative trait rely critically upon a well-structured pedigree in which the segregation pattern of genes exactly follow Mendelian inheritance laws.
Wu Rongling +3 more
doaj +2 more sources
Discovering Process Reference Models from Process Variants Using Clustering Techniques [PDF]
, 2008 In today's dynamic business world, success of an enterprise increasingly depends on its ability to react to changes in a quick and flexible way. In response to this need, process-aware information systems (PAIS) emerged, which support the modeling ...
Li, C., Reichert, M.U., Wombacher, A.
core +8 more sources
Evolutionary Algorithms for Query Op-timization in Distributed Database Sys-tems: A review
Advances in Distributed Computing and Artificial Intelligence Journal, 2018 Evolutionary Algorithms are bio-inspired optimization problem-solving approaches that exploit principles of biological evolution. , such as natural selection and genetic inheritance.
Zulfiqar ALI +2 more
doaj +1 more source
Genetic structure of the polymorphic metrosideros (Myrtaceae) complex in the Hwaiian islands using nuclear microsatellite data. [PDF]
PLoS ONE, 2009 BackgroundFive species of Metrosideros (Myrtaceae) are recognized in the Hawaiian Islands, including the widespread M. polymorpha, and are characterized by a multitude of distinctive, yet overlapping, habit, ecological, and morphological forms.
Danica T Harbaugh +4 more
doaj +1 more source
PLoS ONE, 2023 Advances in high-throughput sequencing technologies have made it possible to access millions of measurements from thousands of people. Single nucleotide polymorphisms (SNPs), the most common type of mutation in the human genome, have been shown to play a
Fariba Esmaeili +2 more
doaj +1 more source
Generalized Hybrid Evolutionary Algorithm Framework with a Mutation Operator Requiring no Adaptation [PDF]
, 2017 This paper presents a generalized hybrid evolutionary optimization structure that not only combines both nondeterministic and deterministic algorithms on their individual merits and distinct advantages, but also offers behaviors of the three originating ...
Chan, Lipton +4 more
core +1 more source