Results 121 to 130 of about 3,820,379 (274)

In Silico Genome-Genome Hybridization Values Accurately and Precisely Predict Empirical DNA-DNA Hybridization Values for Classifying Prokaryotes [PDF]

open access: yesarXiv, 2012
For nearly 50 years microbiologists have been determining prokaryotic genome relatedness by means of nucleic acid reassociation kinetics. These methods, however, are technically challenging, difficult to reproduce, and - given the time and resources it takes to generate a single data-point - not cost effective. In the post genomic era, with the cost of
arxiv  

Deep Kernel for Genomic and Near Infrared Predictions in Multi-environment Breeding Trials

open access: yesG3: Genes, Genomes, Genetics, 2019
Kernel methods are flexible and easy to interpret and have been successfully used in genomic-enabled prediction of various plant species. Kernel methods used in genomic prediction comprise the linear genomic best linear unbiased predictor (GBLUP or GB ...
Jaime Cuevas   +8 more
doaj   +1 more source

Four basic symmetry types in the universal 7-cluster structure of 143 complete bacterial genomic sequences [PDF]

open access: yesIn Silico Biol. 5, 0025 (2005) http://www.bioinfo.de/isb/2005/05/0025/, 2004
Coding information is the main source of heterogeneity (non-randomness) in the sequences of bacterial genomes. This information can be naturally modeled by analysing cluster structures in the "in-phase" triplet distributions of relatively short genomic fragments (200-400bp).
arxiv  

Multivariate Statistical Machine Learning Methods for Genomic Prediction

open access: yes, 2022
O. A. Montesinos López   +2 more
semanticscholar   +1 more source

In Silico Prediction of Scaffold/Matrix Attachment Regions in Large Genomic Sequences [PDF]

open access: hybrid, 2002
Matthias Frisch   +5 more
openalex   +2 more sources

Optimizing clinico-genomic disease prediction across ancestries: a machine learning strategy with Pareto improvement

open access: yesGenome Medicine
Background Accurate prediction of an individual’s predisposition to diseases is vital for preventive medicine and early intervention. Various statistical and machine learning models have been developed for disease prediction using clinico-genomic data ...
Yan Gao, Yan Cui
doaj   +1 more source

Triple categorical regression for genomic selection: application to cassava breeding

open access: yesScientia Agricola, 2019
: Genome-wide selection (GWS) is currently a technique of great importance in plant breeding, since it improves efficiency of genetic evaluations by increasing genetic gains.
Leísa Pires Lima   +5 more
doaj   +1 more source

Design of training populations for selective phenotyping in genomic prediction

open access: yesScientific Reports, 2019
Phenotyping is the current bottleneck in plant breeding, especially because next-generation sequencing has decreased genotyping cost more than 100.000 fold in the last 20 years.
Deniz Akdemir, J. Isidro-Sánchez
semanticscholar   +1 more source

Can Deep Learning Improve Genomic Prediction of Complex Human Traits?

open access: yesGenetics, 2018
The current excitement around artificial intelligence and the renewed interest in “deep learning” (DL) have been applied to the genetic analysis of complex traits; however, the performance of DL for genomic prediction of complex...
Pau Bellot   +2 more
semanticscholar   +1 more source

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