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1دورية أكاديمية
المؤلفون: Jian Xu, Sudip Pan, Shenglai Yao, Christian Lorent, Christian Teutloff, Zhaoyin Zhang, Jun Fan, Andrew Molino, Konstantin B. Krause, Johannes Schmidt, Robert Bittl, Christian Limberg, Lili Zhao, Gernot Frenking, Matthias Driess
مصطلحات موضوعية: Biophysics, Biochemistry, Medicine, Microbiology, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Physical Sciences not elsewhere classified, pronounced reducing nature, much higher stability, high nucleophilic character, redox noninnocent character, electron paramagnetic resonance, bu )< sub, 7 b, 3 b, meotf affords bi, iii sup, 0 sup, stabilizing monoatomic two, ray photoelectron spectroscopy, redox noninnocent bis, new chelating bis, isolable monatomic bi, 5 b, 4 b, ii sup, 2 sub, sup, new bis, redox reactivity
الإتاحة: https://doi.org/10.1021/jacs.3c13016.s001Test
https://figshare.com/articles/journal_contribution/Stabilizing_Monoatomic_Two-Coordinate_Bismuth_I_and_Bismuth_II_Using_a_Redox_Noninnocent_Bis_germylene_Ligand/25292694Test -
2دورية 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 -
3دورية 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 -
4دورية 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 -
5دورية 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 -
6دورية 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.s009Test
https://figshare.com/articles/journal_contribution/The_impact_of_background_selection_BGS_on_IntroUNET_s_performance_/25252390Test -
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.s010Test
https://figshare.com/articles/journal_contribution/The_impact_of_recombination_rate_on_IntroUNET_s_accuracy_under_the_i_D_melanogaster_i_background_selection_model_/25252393Test -
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.s013Test
https://figshare.com/articles/journal_contribution/Ten_example_segmentations_on_simulations_from_our_archaic_introgression_scenario_5_from_IntroUNET_left_and_5_from_ArchIE_right_/25252402Test -
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.s017Test
https://figshare.com/articles/journal_contribution/The_lengths_of_introgressed_haplotypes_predicted_by_IntroUNET_at_increasing_distances_away_from_the_adaptive_introgression_even_on_chr3R_/25252414Test -
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.s003Test
https://figshare.com/articles/journal_contribution/Five_randomly_chosen_example_segmentations_on_simulations_from_our_simple_bidirectional_introgression_scenario_/25252372Test