Search results for "Genetic algorithm"

showing 10 items of 834 documents

Cancer: a disease at the crossroads of trade-offs

2017

11 pages; International audience; Central to evolutionary theory is the idea that living organisms face phenotypic and/or genetic trade-offs when allocating resources to competing life-history demands, such as growth, survival, and reproduction. These trade-offs are increasingly considered to be crucial to further our understanding of cancer. First, evidences suggest that neoplastic cells, as any living entities subject to natural selection, are governed by trade-offs such as between survival and proliferation. Second, selection might also have shaped trade-offs at the organismal level, especially regarding protective mechanisms against cancer. Cancer can also emerge as a consequence of add…

0301 basic medicineReproduction (economics)[SDV.CAN]Life Sciences [q-bio]/CancerDiseaseBiologyTrade-offLife history theory[ SDV.CAN ] Life Sciences [q-bio]/Cancer03 medical and health sciencesGeneticsmedicinecancertrade‐offEvolutionary dynamicsEcology Evolution Behavior and SystematicsSelection (genetic algorithm)ComputingMilieux_MISCELLANEOUSlife‐history traitsNatural selection[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]Ecology[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Cancernatural selectionmedicine.disease3. Good health[ SDV.GEN.GPO ] Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]030104 developmental biology[ SDV.BID.EVO ] Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Evolutionary biologyGeneral Agricultural and Biological SciencesReviews and Syntheses
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SNVSniffer: an integrated caller for germline and somatic single-nucleotide and indel mutations

2016

Various approaches to calling single-nucleotide variants (SNVs) or insertion-or-deletion (indel) mutations have been developed based on next-generation sequencing (NGS). However, most of them are dedicated to a particular type of mutation, e.g. germline SNVs in normal cells, somatic SNVs in cancer/tumor cells, or indels only. In the literature, efficient and integrated callers for both germline and somatic SNVs/indels have not yet been extensively investigated. We present SNVSniffer, an efficient and integrated caller identifying both germline and somatic SNVs/indels from NGS data. In this algorithm, we propose the use of Bayesian probabilistic models to identify SNVs and investigate a mult…

0301 basic medicineSomatic cellBayesian probabilityBiologyPolymorphism Single NucleotideGermline03 medical and health sciencesGene FrequencyINDEL MutationStructural BiologyModelling and SimulationIndel callingGenetic variationHumansAlleleIndelMolecular BiologyOvarian NeoplasmsGeneticsResearchApplied MathematicsComputational BiologyHigh-Throughput Nucleotide SequencingSNP callingSomatic SNV callingCystadenocarcinoma SerousComputer Science ApplicationsGerm Cells030104 developmental biologyBayesian modelModeling and SimulationMutation (genetic algorithm)FemaleMultinomial distributionAlgorithmsBMC Systems Biology
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A generalization of Kingman's model of selection and mutation and the Lenski experiment.

2017

Kingman’s model of selection and mutation studies the limit type value distribution in an asexual population of discrete generations and infinite size undergoing selection and mutation. This paper generalizes the model to analyze the long-term evolution of Escherichia. coli in Lenski experiment. Weak assumptions for fitness functions are proposed and the mutation mechanism is the same as in Kingman’s model. General macroscopic epistasis are designable through fitness functions. Convergence to the unique limit type distribution is obtained.

0301 basic medicineStatistics and ProbabilityGeneralizationPopulationBiology01 natural sciencesModels BiologicalGeneral Biochemistry Genetics and Molecular Biology010104 statistics & probability03 medical and health sciencesStatisticsEscherichia coliApplied mathematicsQuantitative Biology::Populations and EvolutionLimit (mathematics)0101 mathematicsSelection GeneticeducationSelection (genetic algorithm)education.field_of_studyFitness functionGeneral Immunology and MicrobiologyApplied MathematicsGeneral MedicineQuantitative Biology::GenomicsBiological Evolution030104 developmental biologyDistribution (mathematics)Modeling and SimulationMutation (genetic algorithm)MutationEpistasisGeneral Agricultural and Biological SciencesMathematical biosciences
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A graphical model selection tool for mixed models

2017

Model selection can be defined as the task of estimating the performance of different models in order to choose the most parsimonious one, among a potentially very large set of candidate statistical models. We propose a graphical representation to be considered as an extension to the class of mixed models of the deviance plot proposed in the literature within the framework of classical and generalized linear models. This graphical representation allows, once a reduced number of models have been selected, to identify important covariates focusing only on the fixed effects component, assuming the random part properly specified. Nevertheless, we suggest also a standalone figure representing th…

0301 basic medicineStatistics and ProbabilityMixed modelModel selectionFeature selection01 natural sciencesTask (project management)Deviance plot Penalized Weighted Residual Sum of Squares Variable selection010104 statistics & probability03 medical and health sciences030104 developmental biologyModeling and SimulationStatisticsGraphical model0101 mathematicsSelection (genetic algorithm)Mathematics
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The use of morphokinetic as a predictor of implantation.

2017

In recent years the increased efforts intended for improving future outcomes in the laboratory have focused mostly on the search of additional markers of embryo quality to add up present embryo selection criteria. Time-lapse system involves an alternative tool in assisted reproduction techniques, being able to improve the embryo selection from a dynamic and interactive approach while standard embryo assessment implies a subjective and static morphology evaluation and consequently reducing the information gained for embryo selection, time-lapse technology adds several morphokinetic parameters, providing additional input for embryo evaluation. This further information represents a challenge f…

0301 basic medicineanimal structures030219 obstetrics & reproductive medicinePregnancy RateReproductive Techniques Assistedbusiness.industryObstetrics and GynecologyEmbryoTime-Lapse Imaging03 medical and health sciencesKinetics030104 developmental biology0302 clinical medicineRisk analysis (engineering)Pregnancyembryonic structuresMedicineHumansFemaleEmbryo ImplantationbusinessSelection (genetic algorithm)Embryo qualityMinerva ginecologica
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Environmental epigenetics in zebrafish

2017

Abstract It is widely accepted that the epigenome can act as the link between environmental cues, both external and internal, to the organism and phenotype by converting the environmental stimuli to phenotypic responses through changes in gene transcription outcomes. Environmental stress endured by individual organisms can also enforce epigenetic variations in offspring that had never experienced it directly, which is termed transgenerational inheritance. To date, research in the environmental epigenetics discipline has used a wide range of both model and non-model organisms to elucidate the various epigenetic mechanisms underlying the adaptive response to environmental stimuli. In this rev…

0301 basic medicinelcsh:QH426-470Settore BIO/11 - Biologia MolecolareReviewEnvironmentEpigenesis GeneticEmbryogenesi03 medical and health sciences0302 clinical medicineEnvironmental epigeneticEnvironmental epigeneticsGeneticsAnimalsEpigeneticsToxicantZebrafishMolecular BiologyOrganismZebrafishDNA methylation; Embryogenesis; Environmental epigenetics; Histone modifications; Methylome; Toxicant; Transgenerational inheritance; Zebrafish; Molecular Biology; GeneticsGeneticsDNA methylationbiologyHistone modificationsInheritance (genetic algorithm)Adaptive responseEpigenomebiology.organism_classificationHuman geneticsHistone Codelcsh:Genetics030104 developmental biologyEvolutionary biologyDNA methylationEmbryogenesisMethylomeHistone modification030217 neurology & neurosurgeryTransgenerational inheritanceEpigenetics & Chromatin
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High HFE mutation incidence in idiopathic erythrocytosis.

2018

0301 basic medicinemedicine.medical_specialtybusiness.industryIncidence (epidemiology)IncidenceHematologyPolycythemiaGastroenterology03 medical and health sciences030104 developmental biology0302 clinical medicine030220 oncology & carcinogenesisInternal medicineMutation (genetic algorithm)MutationmedicineHumansIdiopathic erythrocytosisbusinessHemochromatosis ProteinBritish journal of haematology
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Systematic ajmaline challenge in patients with long QT 3 syndrome caused by the most common mutation: a multicentre study

2016

Aims Overlap syndromes of long QT 3 syndrome (LQT3) and the Brugada syndrome (BrS) have been reported. Identification of patients with an overlapping phenotype is crucial before initiation of Class I antiarrhythmic drugs for LQT3. Aim of the present study was to elucidate the yield of ajmaline challenge in unmasking the Brugada phenotype in patients with LQT3 caused by the most common mutation, SCN5A-E1784K. Methods and results Consecutive families in tertiary referral centres diagnosed with LQT3 caused by SCN5A-E1784K were included in the study. Besides routine clinical work-up, ajmaline challenge was performed after informed consent. A total of 23 subjects (11 female, mean age 27 ± 14 yea…

0301 basic medicinemedicine.medical_specialtymedicine.diagnostic_testbusiness.industryLong QT syndromeOverlap syndrome030204 cardiovascular system & hematologymedicine.diseaseSudden cardiac death03 medical and health sciencesAjmaline030104 developmental biology0302 clinical medicineEndocrinologyPhysiology (medical)Internal medicineMutation (genetic algorithm)medicineCardiologyFamily historyCardiology and Cardiovascular MedicinebusinessElectrocardiographyBrugada syndromemedicine.drugEP Europace
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Penalized classification for optimal statistical selection of markers from high-throughput genotyping: application in sheep breeds

2018

The identification of individuals’ breed of origin has several practical applications in livestock and is useful in different biological contexts such as conservation genetics, breeding and authentication of animal products. In this paper, penalized multinomial regression was applied to identify the minimum number of single nucleotide polymorphisms (SNPs) from high-throughput genotyping data for individual assignment to dairy sheep breeds reared in Sicily. The combined use of penalized multinomial regression and stability selection reduced the number of SNPs required to 48. A final validation step on an independent population was carried out obtaining 100% correctly classified individuals. …

0301 basic medicinepenalized multinomial regression stability selection sheep breeds livestock genetic resources single nucleotide polymorphism markersGenotypePopulationSingle-nucleotide polymorphismComputational biologyBreedingBiologySF1-1100Polymorphism Single Nucleotidesheep breeds03 medical and health sciencesSettore AGR/17 - Zootecnica Generale E Miglioramento Geneticolivestock genetic resourcessingle nucleotide polymorphism markersAnimalseducationGenotypingSelection (genetic algorithm)Multinomial logistic regressionGeneticsPrincipal Component Analysiseducation.field_of_studySheeppenalized multinomial regressionHigh-Throughput Nucleotide SequencingBreedstability selectionAnimal cultureRandom forest030104 developmental biologyPrincipal component analysisAnimal Science and ZoologySettore SECS-S/01 - StatisticaBiomarkers
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Postzygotic BRAF p.Lys601Asn Mutation in Phacomatosis Pigmentokeratotica with Woolly Hair Nevus and Focal Cortical Dysplasia

2016

International audience

0301 basic medicinesignaling pathwaymedicine.medical_specialtyhrasDermatologynoonanBiologyWoolly hair nevusBiochemistry030207 dermatology & venereal diseases03 medical and health sciences0302 clinical medicine[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologymedicineMolecular BiologyComputingMilieux_MISCELLANEOUSsyringocystadenoma papilliferumCell BiologyCortical dysplasiamedicine.diseaseDermatologyPhacomatosis pigmentokeratotica030104 developmental biologyMutation (genetic algorithm)mosaic rasopathies[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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