Search Results - Evolutionary algorithms, genetic algorithms (computational aspects)

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

“… 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…”
Get full text

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

“… A new optimisation method for this fitting process is proposed. It is based on an evolutionary algorithm including local neighbourhood attraction for convergence improvement…”
Get full text

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

“…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…”
Get full text

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

“… Various tools using evolutionary algorithm, a soft computing technique for multi-objective optimization to find novel molecules for drug development are surveyed…”
Get full text

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

“…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…”
Get full text

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

“… 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…”
Get full text

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

“…This study presents a systematic review and summary of performative computational architecture using swarm and evolutionary optimisation…”
Get full text

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

“…Purpose Graph coloring approach has emerged as a valuable problem-solving tool for both theoretical and practical aspects across various scientific disciplines, including biology…”
Get full text

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

“… genetics even though models specifically for stock identification have been previously developed…”
Get full text

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

“… 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…”
Get full text

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

“… (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…”
Get full text

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

“… In this situation, this study aims to present a review of critical aspects of structural damage identification using evolutionary algorithm-based FE model updating…”
Get full text

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

“…/ ) 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…”
Get full text

Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions by 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.

“…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…”
Get full text

Detecting autozygosity through runs of homozygosity: A comparison of three autozygosity detection algorithms by Howrigan, Daniel P, Simonson, Matthew A, Keller, Matthew C

“…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…”
Get full text

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

“…GEIGER is a new software package, written in the R language, to describe evolutionary radiations…”
Get full text

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

“… ). 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…”
Get full text

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

“… on Darwin’s theory of evolution and modern natural genetics. The article focuses on the examples of evolutionary algorithms application in economics…”
Get full text

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

“…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…”
Get full text

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

“…The human microbiome is increasingly mined for diagnostic and therapeutic biomarkers using machine learning (ML). However, metagenomics-specific software is…”
Get full text