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1كتاب إلكتروني
المؤلفون: Kassen, Rees, author
المصدر: Experimental Evolution and the Nature of Biodiversity, 2024, ill.
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2كتاب إلكتروني
المؤلفون: Lynch, Michael R., author
المصدر: Evolutionary Cell Biology : The Origins of Cellular Architecture, 2024, ill.
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3كتاب إلكتروني
المؤلفون: Lynch, Michael R., author
المصدر: Evolutionary Cell Biology : The Origins of Cellular Architecture, 2024, ill.
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4
المؤلفون: Gutiérrez-Valencia, Juanita, 1991, Zervakis, Panagiotis-Ioannis, Postel, Zoé, 1995, Fracassetti, Marco, Losvik, Aleksandra, 1985, Mehrabi, Sara, 1982, Bunikis, Ignas, Soler, Lucile, Hughes, P. William, Désamoré, Aurélie, Laenen, Benjamin, Abdelaziz, Mohamed, Pettersson, Olga Vinnere, Arroyo, Juan, Slotte, Tanja
المصدر: Molecular biology and evolution. 41(5)
مصطلحات موضوعية: homostyly, self-fertilization, distribution of fitness effects, genome assembly, plant mating system
وصف الملف: print
الوصول الحر: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-231551Test
https://doi.org/10.1093/molbev/msae087Test -
5
المؤلفون: Andersson, Bea Angelica, 1992
المساهمون: Wang, Xiao-Ru, Professor, Brännström, Åke, Professor, 1975, Slotte, Tanja, Professor
مصطلحات موضوعية: distribution of fitness effects, site frequency spectra, missing data filtering, downsampling, imputation, sample size, population structure, inbreeding, selfing, homozygosity, Arabidopsis, Pinus, DFE-alpha, SLiM, population genomics, adaptation, biology, biologi, evolutionär genetik, evolutionary genetics, populationsbiologi, Population Biology, molekylärbiologi, Molecular Biology, Genetics, genetik
وصف الملف: electronic
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6دورية أكاديمية
المؤلفون: Somya Mani, Tsvi Tlusty
المصدر: BMC Biology, Vol 21, Iss 1, Pp 1-18 (2023)
مصطلحات موضوعية: Spontaneous mutation, Structural variation, Mutation rate, Distribution of fitness effects, Adaptation, De novo gene birth, Biology (General), QH301-705.5
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/1741-7007Test
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7دورية أكاديمية
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs الإتاحة: https://doi.org/10.1371/journal.pgen.1010657.s001Test
https://figshare.com/articles/journal_contribution/A_diagram_of_the_chosen_residual_block_structure_shown_with_the_dimensions_for_the_first_convolution_for_an_initial_size_of_two-populations_by_64_individuals_by_128_polymorphisms_/25252366Test -
8دورية أكاديمية
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs الإتاحة: https://doi.org/10.1371/journal.pgen.1010657.s002Test
https://figshare.com/articles/journal_contribution/Loss_function_value_trajectories_calculated_on_training_and_validation_data_for_versions_of_IntroUNET_with_different_values_of_the_label_smoothing_strength_parameter_i_alpha_i_/25252369Test -
9دورية أكاديمية
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs الإتاحة: https://doi.org/10.1371/journal.pgen.1010657.s004Test
https://figshare.com/articles/journal_contribution/Loss_function_value_trajectories_calculated_on_training_and_validation_data_for_versions_of_IntroUNET_with_increasing_sample_sizes_32_64_and_128_individuals_per_subpopulation_training_set_sizes_1000_10000_and_100000_alignments_and_window_si/25252375Test -
10دورية أكاديمية
المؤلفون: Dylan D. Ray, Lex Flagel, Daniel R. Schrider
مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Biological Sciences not elsewhere classified, world scenarios underscores, trained neural network, much higher frequencies, insufficient — ideally, div >< p, deep neural network, deep learning approaches, deep learning algorithm, significant fitness advantage, closely related species, recovering introgressed haplotypes, image classification problem, harbor introgressed loci, region previously shown, use simulated data, population genetic alignment, identifying introgressed alleles,
use =", population alignment, one species, fitness effects, correctly identifying, introgressed material, introgressed alleles, image representation, image belongs الإتاحة: https://doi.org/10.1371/journal.pgen.1010657.s008Test
https://figshare.com/articles/journal_contribution/Five_randomly_chosen_example_segmentations_on_simulations_from_our_simple_bidirectional_introgression_scenario_with_relatively_strong_positive_selection_acting_on_each_introgressed_nucleotide_i_s_i_1_10_sup_5_sup_or_0_095_for_a_10_kb_introg/25252387Test