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The Dimensionality of Genomic Information and Its Effect on Genomic Prediction
2016
Genetics
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Theory for the APY assumes that the optimal size of the subset (maximizing accuracy of genomic predictions) is due to a limited dimensionality of the GRM, which is a function of the effective population ...
Most information in the GRM is contained in N e L largest eigenvalues, with no information beyond 4N e L. ...
This research was primarily supported by grants from the Holstein Association USA (Brattleboro, VT), the American Angus Association, Zoetis, Cobb-Vantress, Smithfield Premium Genetics, the Pig Improvement ...
doi:10.1534/genetics.116.187013
pmid:26944916
pmcid:PMC4858800
fatcat:6do3s3d4fzh2jclczo2eq7wt7q
Universal evolutionary selection for high dimensional silent patterns of information hidden in the redundancy of viral genetic code
2018
Bioinformatics
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information hidden in the redundancy of viral genetic code. ...
Here, based on a novel genomic analysis of 2625 different viruses and 439 corresponding host organisms, we provide evidence of universal evolutionary selection for high dimensional 'silent' patterns of ...
Funding This study was supported in part by a fellowship from the Edmond J. Safra Center for Bioinformatics at Tel-Aviv University and by the Minerva ARCHES award. Conflict of Interest: none declared. ...
doi:10.1093/bioinformatics/bty351
pmid:29718236
fatcat:bj4bp2zroja7pn6kvi3vox6apu
Dimensionality of genomic information and performance of the Algorithm for Proven and Young for different livestock species
2016
Genetics Selection Evolution
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In a simulation study, the optimal number of core animals was equal to the number of largest eigenvalues of GRM that explained 98% of its variation. ...
The purpose of this study was to find the optimal number of core animals and estimate N e for different species. ...
Using more than 10,000 animals as the core subset did not add any improvement in genetic prediction. ...
doi:10.1186/s12711-016-0261-6
pmid:27799053
pmcid:PMC5088690
fatcat:3cjwnntnj5amviet4xywhxysae
Evolutionary Segmentation of Texture Image Using Genetic Algorithms and Two-Dimensional Wavelet Transform
1999
Transactions of the Institute of Systems Control and Information Engineers
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We apply a probabilistic and effective successive search procedure of genetic algorithms to the clustering of small regions in a feature space. ...
Moreover, we propose a new feature extraction scheme using two-dimensional wavelet transform, which can extract the hierarchical characteristics of the texture feature, and perform the accurate feature ...
doi:10.5687/iscie.12.263
fatcat:66dar4yxhjaplioqf7qxnmwsnq
Information gain based dimensionality selection for classifying text documents
2013
2013 IEEE Congress on Evolutionary Computation
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The presented methodology uses information gain of each dimension to change the mutation probability of chromosomes dynamically. ...
This paper presents a novel, genetic algorithm based methodology, for dimensionality selection in text mining applications that utilizes information gain. ...
INFORMATION GAIN BASED DIMENSIONALITY SELECTION USING GENETIC ALGORITHMS This section first introduces Information Gain (IG) and then details the presented dimensionality selection methodology.
A. ...
doi:10.1109/cec.2013.6557602
dblp:conf/cec/WijayasekaraMM13
fatcat:uu5ju5v665avpiat4gza5hgbvm
Manifold Learning for Human Population Structure Studies
2012
PLoS ONE
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However, the "intrinsic dimensionality" of sequence data, which determines the structure of populations, is much lower. ...
The dimension of the population genetics data produced by next-generation sequencing platforms is extremely high. ...
Author Contributions Conceived and designed the experiments: MX LJ. Analyzed the data: HS. Wrote the paper: MX. ...
doi:10.1371/journal.pone.0029901
pmid:22272259
pmcid:PMC3260176
fatcat:nxdcu6brazbjvb5ilw5z3l5sye
Genetic Studies of Complex Diseases in the Sequence Era
2012
Journal of Genetic Disorders & Genetic Reports
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Analysis of these extremely big and diverse types of data sets provide invaluable information for holistic discovery of the genetic and epigenetic structure of disease and prediction, prevention, diagnosis ...
Massive amount of high-dimensional data will provide holistic and complementary information that will facilitate to unravel mechanism of complex diseases. ...
Massive amount of high-dimensional data will provide holistic and complementary information that will facilitate to unravel mechanism of complex diseases. ...
doi:10.4172/2327-5790.1000e102
pmid:27441202
pmcid:PMC4948187
fatcat:pfbab7tb2bajtp2rfytuesy2oa
Dimensionality Reduction Algorithms on High Dimensional Datasets
2014
Emitter: International Journal of Engineering Technology
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In this research, we evaluate the performance of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) as feature selection algorithms when applied to high dimensional datasets.Our experiments show ...
GA‐ reduced datasets have better performance than their original ones on 5 of 8 datasets while PSO is only 3 of 8 datasets.Keywords: feature selection, dimensionality reduction, Genetic Algorithm (GA), ...
DIMENSIONALITY REDUCTION In the various applications of machine learning and data mining, the use of high dimensional datasets with hundreds of thousands of features is not unusual [1] . ...
doi:10.24003/emitter.v2i2.24
fatcat:awsflfuwujdwnkry3rmuc26tbi
Two Dimensional DNA Typing. A Parallel Approach to Genome Analysis
2009
Animal Genetics
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Unfortunately, as the authors point out, there is ‘no immediate information on map location of [these] markers’. ...
There are also useful chapters on the principles of DNA linkage mapping in eukaryotic organisms both by conventional one-dimensional systems and the authors’ two-dimensional methods. ...
doi:10.1111/j.1365-2052.1995.tb02632.x
fatcat:c2rkrqvftzdirj7zfv2ptrhtpy
NOTICE
2009
Animal Genetics
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The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
Unfortunately, as the authors point out, there is ‘no immediate information on map location of [these] markers’. ...
There are also useful chapters on the principles of DNA linkage mapping in eukaryotic organisms both by conventional one-dimensional systems and the authors’ two-dimensional methods. ...
doi:10.1111/j.1365-2052.1995.tb02633.x
fatcat:v7jdxvanmjefhlcr2mutzr5mba
Spectral Decomposition of Mappings of Molecular Genetic Information in the System Basis of Single Nucleotide Functions
2022
Symmetry
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This paper presents and visualizes examples of large amounts of genetic information using a new class of cognitive computer graphics algorithms. ...
An example of the spectral decomposition of parametric representations of molecular genetic structures is given. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/sym14050844
fatcat:bcb7bgws5zbofkbzajfr7ghud4
Page 60 of Library & Information Science Abstracts Vol. , Issue 4
[page]
1994
Library & Information Science Abstracts
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Describes the application of a genetic algorithm in the field of two dimensional chemical structure handling. ...
Genetic algorithms are based on the process of Darwinian Evolution, whereby potential solutions to a problem are manipulated according to the mechanics of natural selection and the genetic algorithm in ...
Scaling and Visualization of Nucleotide Sequences
2019
EPJ Web of Conferences
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The developed method contributes to an in-depth understanding of the principles of genetic coding and simplifying the perception of genetic information due to the algorithmic interpretation of the basic ...
properties of polynucleotide fragments with visualization of the final geometric structure of the genetic code. ...
The presented concept brings the problem of computer analysis of genetic information to a whole new level. ...
doi:10.1051/epjconf/201922403007
fatcat:bkdi7lmanrgwrmyunlnxmwnbfe
A synergistic approach for evolutionary optimization
2008
Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation - GECCO '08
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The current research presents further investigation on the later model which synergistically uses an exploration controlling mechanism through informed genetic operators along with a multitier hierarchical ...
In particular, this can be a more complicated issue in case of high dimensional complex problem domains. ...
While the informed mutation operator promotes exploitation, the multi-tier hierarchical population structure confronts genetic drift. ...
doi:10.1145/1388969.1389031
dblp:conf/gecco/Bhattacharya08
fatcat:w3fgyuaiorf2jgmmsbhz2wre7y
THE METHODOLOGY AND APPLICATION OF NEW THREE-DIMENSIONAL GUIDE SYSTEM AND INTELLIGENT SERVICE IN INTELLIGENT SCENIC SPOT: A CASE STUDY OF QIXING SCENIC SPOT IN GUILIN CITY, GUANGXI, CHINA
2020
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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of the three-dimensional symbol system are combined. ...
The construction and use cost of the high-precision three-dimensional navigation system in the scenic spot is reduced. ...
ACKNOWLEDGMENTS University of Technology for the support of our work. ...
doi:10.5194/isprs-archives-xlii-3-w10-1139-2020
fatcat:nspufma5nneh7crf2idvsoaeza
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