Results 41 to 50 of about 722,236 (315)
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
Searching for interacting QTL in related populations of an outbreeding species [PDF]
, 2009 Many important crop species are outbreeding. In outbreeding species the search for genes affecting traits is complicated by the fact that in a single cross up to four alleles may be present at each locus.
Bink, M.C.A.M. +3 more
core +2 more sources
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
A Novel Root-Knot Nematode Resistance QTL on Chromosome Vu01 in Cowpea. [PDF]
, 2019 The root-knot nematode (RKN) species Meloidogyne incognita and M. javanica cause substantial root system damage and suppress yield of susceptible cowpea cultivars.
Guo, Yi-Ning +7 more
core +2 more sources
Applications in Plant Sciences, Volume 10, Issue 6, November-December 2022., 2022 Abstract Premise Although several software packages are available for genotyping insertion/deletion (indel) polymorphisms in genomes using next‐generation sequencing data, simultaneously calling indel genotypes across many individuals for use in genetic mapping remains challenging. Methods and Results We present an integrated pipeline, InDelGT, for the
Zhiliang Pan +4 more
wiley +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
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
Intelligent Learning Algorithms for Active Vibration Control [PDF]
, 2007 YesThis correspondence presents an investigation into the comparative performance of an active vibration control (AVC) system using a number of intelligent learning algorithms.
Dahal, Keshav P. +2 more
core +1 more source
PLoS ONE, 2023 NR5A1/SF-1 (Steroidogenic factor-1) variants may cause mild to severe differences of sex development (DSD) or may be found in healthy carriers. The NR5A1/SF-1 c.437G>C/p.Gly146Ala variant is common in individuals with a DSD and has been suggested to act ...
I. Martínez de Lapiscina +17 more
semanticscholar +1 more source
Epigenetic opportunities for Evolutionary Computation [PDF]
arXiv, 2021 Evolutionary Computation is a group of biologically inspired algorithms used to solve complex optimisation problems. It can be split into Evolutionary Algorithms, which take inspiration from genetic inheritance, and Swarm Intelligence algorithms, that take inspiration from cultural inheritance. However, recent developments have focused on computational
arxiv