Výsledky vyhledávání - Evolutionary algorithms, genetic algorithms (computational aspects)

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  1. 1

    Discovering local patterns of co - evolution: computational aspects and biological examples Autor Tuller, Tamir, Felder, Yifat, Kupiec, Martin

    ISSN: 1471-2105, 1471-2105
    Vydáno: London BioMed Central 22.01.2010
    Vydáno v BMC bioinformatics (22.01.2010)
    “… Orthologs that exhibit a strong signal of co-evolution in a certain part of the evolutionary tree may show a mild signal of co-evolution in other branches of the tree…”
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    Journal Article
  2. 2

    Computational aspects of inverse analyses for determining softening curves of concrete Autor Slowik, Volker, Villmann, Beate, Bretschneider, Nick, Villmann, Thomas

    ISSN: 0045-7825, 1879-2138
    Vydáno: Amsterdam Elsevier B.V 01.11.2006
    “… A new optimisation method for this fitting process is proposed. It is based on an evolutionary algorithm including local neighbourhood attraction for convergence improvement…”
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    Journal Article Konferenční příspěvek
  3. 3

    AMCGWO : An enhanced feature selection based on swarm optimization for effective disease prediction Autor Lavanya, S. R., Mallika, R.

    ISSN: 0972-0529, 2169-0065
    Vydáno: Taylor & Francis 03.04.2022
    “…Missing data in datasets remain as a difficulty in terms of data analysis in various research fields, especially in the medical field, as it affects the…”
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  4. 4

    Evolutionary algorithms for de novo drug design – A survey Autor Devi, R. Vasundhara, Sathya, S. Siva, Coumar, Mohane Selvaraj

    ISSN: 1568-4946, 1872-9681
    Vydáno: Elsevier B.V 01.02.2015
    Vydáno v Applied soft computing (01.02.2015)
    “… Various tools using evolutionary algorithm, a soft computing technique for multi-objective optimization to find novel molecules for drug development are surveyed…”
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  5. 5

    Computational aspects of host-parasite phylogenies Autor Stevens, J.

    ISSN: 1467-5463, 1477-4054
    Vydáno: Oxford Oxford University Press 01.12.2004
    Vydáno v Briefings in bioinformatics (01.12.2004)
    “…Computational aspects of host-parasite phylogenies form part of a set of general associations between areas and organisms, hosts and parasites, and species and genes…”
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    Journal Article
  6. 6

    Comprehensive assessment of computational algorithms in predicting cancer driver mutations Autor Chen, Hu, Li, Jun, Wang, Yumeng, Ng, Patrick Kwok-Shing, Tsang, Yiu Huen, Shaw, Kenna R., Mills, Gordon B., Liang, Han

    ISSN: 1474-760X, 1474-7596, 1474-760X
    Vydáno: London BioMed Central 20.02.2020
    Vydáno v Genome Biology (20.02.2020)
    “… Over the decade, many computational algorithms have been developed to predict the effects of missense single-nucleotide variants, and they are frequently employed to prioritize mutation candidates…”
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  7. 7

    Performative computational architecture using swarm and evolutionary optimisation: A review Autor Ekici, Berk, Cubukcuoglu, Cemre, Turrin, Michela, Sariyildiz, I. Sevil

    ISSN: 0360-1323, 1873-684X
    Vydáno: Oxford Elsevier Ltd 01.01.2019
    Vydáno v Building and environment (01.01.2019)
    “…This study presents a systematic review and summary of performative computational architecture using swarm and evolutionary optimisation…”
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  8. 8

    Generic model to unravel the deeper insights of viral infections: an empirical application of evolutionary graph coloring in computational network biology Autor Kole, Arnab, Bag, Arup Kumar, Pal, Anindya Jyoti, De, Debashis

    ISSN: 1471-2105, 1471-2105
    Vydáno: London BioMed Central 16.02.2024
    Vydáno v BMC bioinformatics (16.02.2024)
    “…Purpose Graph coloring approach has emerged as a valuable problem-solving tool for both theoretical and practical aspects across various scientific disciplines, including biology…”
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    Journal Article
  9. 9

    Reliably discriminating stock structure with genetic markers: Mixture models with robust and fast computation Autor Foster, Scott D., Feutry, Pierre, Grewe, Peter M., Berry, Oliver, Hui, Francis K. C., Davies, Campbell R.

    ISSN: 1755-098X, 1755-0998, 1755-0998
    Vydáno: England Wiley Subscription Services, Inc 01.11.2018
    Vydáno v Molecular ecology resources (01.11.2018)
    “… genetics even though models specifically for stock identification have been previously developed…”
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  10. 10

    An optimized prediction framework to assess the functional impact of pharmacogenetic variants Autor Zhou, Yitian, Mkrtchian, Souren, Kumondai, Masaki, Hiratsuka, Masahiro, Lauschke, Volker M

    ISSN: 1470-269X, 1473-1150, 1473-1150
    Vydáno: United States Nature Publishing Group 01.04.2019
    Vydáno v The pharmacogenomics journal (01.04.2019)
    “… Current computational tools mostly rely on evolutionary conservation and have been calibrated on variants associated with disease, which poses conceptual problems for assessment of variants in poorly…”
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  11. 11

    High throughput mathematical modeling and multi-objective evolutionary algorithms for plant tissue culture media formulation: Case study of pear rootstocks Autor Jamshidi, Saeid, Yadollahi, Abbas, Arab, Mohammad Mehdi, Soltani, Mohammad, Eftekhari, Maliheh, Shiri, Jalal

    ISSN: 1932-6203, 1932-6203
    Vydáno: United States Public Library of Science 18.12.2020
    Vydáno v PloS one (18.12.2020)
    “… (Pyrodwarf and OHF 69). In order to optimize the selected prediction models, as well as achieving a precise multi-optimization method, multi-objective evolutionary optimization algorithms using genetic algorithm (GA…”
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    Journal Article
  12. 12

    Structural damage detection using finite element model updating with evolutionary algorithms: a survey Autor Alkayem, Nizar Faisal, Cao, Maosen, Zhang, Yufeng, Bayat, Mahmoud, Su, Zhongqing

    ISSN: 0941-0643, 1433-3058
    Vydáno: London Springer London 01.07.2018
    Vydáno v Neural computing & applications (01.07.2018)
    “… In this situation, this study aims to present a review of critical aspects of structural damage identification using evolutionary algorithm-based FE model updating…”
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  13. 13

    RnBeads 2.0: comprehensive analysis of DNA methylation data Autor Müller, Fabian, Scherer, Michael, Assenov, Yassen, Lutsik, Pavlo, Walter, Jörn, Lengauer, Thomas, Bock, Christoph

    ISSN: 1474-760X, 1474-7596, 1474-760X
    Vydáno: London BioMed Central 14.03.2019
    Vydáno v Genome Biology (14.03.2019)
    “…/ ) provides additional data types and analysis methods, new functionality for interpreting DNA methylation differences, improved usability with a novel graphical user interface, and better use of computational resources…”
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  14. 14

    Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions Autor Maier, H.R., Kapelan, Z., Kasprzyk, J., Kollat, J., Matott, L.S., Cunha, M.C., Dandy, G.C., Gibbs, M.S., Keedwell, E., Marchi, A., Ostfeld, A., Savic, D., Solomatine, D.P., Vrugt, J.A., Zecchin, A.C., Minsker, B.S., Barbour, E.J., Kuczera, G., Pasha, F., Castelletti, A., Giuliani, M., Reed, P.M.

    ISSN: 1364-8152
    Vydáno: Oxford Elsevier Ltd 01.12.2014
    “…The development and application of evolutionary algorithms (EAs) and other metaheuristics for the optimisation of water resources systems has been an active research field for over two decades…”
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    Detecting autozygosity through runs of homozygosity: A comparison of three autozygosity detection algorithms Autor Howrigan, Daniel P, Simonson, Matthew A, Keller, Matthew C

    ISSN: 1471-2164, 1471-2164
    Vydáno: London BioMed Central 23.09.2011
    Vydáno v BMC genomics (23.09.2011)
    “…Background A central aim for studying runs of homozygosity (ROHs) in genome-wide SNP data is to detect the effects of autozygosity (stretches of the two…”
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  16. 16

    GEIGER: investigating evolutionary radiations Autor Harmon, Luke J., Weir, Jason T., Brock, Chad D., Glor, Richard E., Challenger, Wendell

    ISSN: 1367-4803, 1367-4811, 1460-2059, 1367-4811
    Vydáno: Oxford Oxford University Press 01.01.2008
    Vydáno v Bioinformatics (01.01.2008)
    “…GEIGER is a new software package, written in the R language, to describe evolutionary radiations…”
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  17. 17

    PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells Autor Wolf, F. Alexander, Hamey, Fiona K., Plass, Mireya, Solana, Jordi, Dahlin, Joakim S., Göttgens, Berthold, Rajewsky, Nikolaus, Simon, Lukas, Theis, Fabian J.

    ISSN: 1474-760X, 1474-7596, 1474-760X
    Vydáno: London BioMed Central 19.03.2019
    Vydáno v Genome Biology (19.03.2019)
    “… ). PAGA maps preserve the global topology of data, allow analyzing data at different resolutions, and result in much higher computational efficiency of the typical exploratory data analysis workflow…”
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  18. 18

    The Use of Evolutionary Algorithms for Optimization in the Modern Entrepreneurial Economy: Interdisciplinary Perspective Autor Sieja, Marek, Wach, Krzysztof

    ISSN: 2353-883X, 2353-8821
    Vydáno: Krakow Uniwersytet Ekonomiczny w Krakowie 01.12.2019
    “… on Darwin’s theory of evolution and modern natural genetics. The article focuses on the examples of evolutionary algorithms application in economics…”
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  19. 19

    MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens Autor Li, Wei, Xu, Han, Xiao, Tengfei, Cong, Le, Love, Michael I, Zhang, Feng, Irizarry, Rafael A, Liu, Jun S, Brown, Myles, Liu, X Shirley

    ISSN: 1474-760X, 1465-6906, 1474-760X, 1465-6914
    Vydáno: London BioMed Central 05.12.2014
    Vydáno v Genome biology (05.12.2014)
    “…We propose the Model-based Analysis of Genome-wide CRISPR/Cas9 Knockout (MAGeCK) method for prioritizing single-guide RNAs, genes and pathways in genome-scale…”
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    Journal Article
  20. 20

    Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine learning toolbox Autor Wirbel, Jakob, Zych, Konrad, Essex, Morgan, Karcher, Nicolai, Kartal, Ece, Salazar, Guillem, Bork, Peer, Sunagawa, Shinichi, Zeller, Georg

    ISSN: 1474-760X, 1474-7596, 1474-760X
    Vydáno: London BioMed Central 30.03.2021
    Vydáno v Genome Biology (30.03.2021)
    “…The human microbiome is increasingly mined for diagnostic and therapeutic biomarkers using machine learning (ML). However, metagenomics-specific software is…”
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