Supervised Machine Learning for Population Genetics: A New Paradigm
Cited by (459)
Items 401–459 of 459
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- Inference of germinal center evolutionary dynamics via simulation-based deep learningDuncan Ralph, Athanasios G Bakis, Jared Galloway, Ashni A Vora, Tatsuya Araki, Gabriel D. Victora, Yun S. Song, William S. DeWitt, Frederick A. Matsen IV · 2026 · eLife
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- Inference of germinal center evolutionary dynamics via simulation-based deep learningDuncan Ralph, Athanasios G Bakis, Jared Galloway, Ashni A Vora, Tatsuya Araki, Gabriel D. Victora, Yun S. Song, William S. DeWitt, Frederick A. Matsen IV · 2025 · eLife
- Inference of germinal center evolutionary dynamics via simulation-based deep learningDuncan Ralph, Athanasios G Bakis, Jared Galloway, Ashni A Vora, Tatsuya Araki, Gabriel D. Victora, Yun S. Song, William S. DeWitt, Frederick A. Matsen IV · 2025 · eLife
- Simulations of Life History Variation for Demographic Inference From Population Genomic DataRilquer Mascarenhas, Michael J. Hickerson, Ana Carolina Carnaval · 2025 · Molecular Ecology
- Additional file 6 of Machine-learning algorithms based on personalized pathways for a novel predictive model for the diagnosis of hepatocellular carcinomaCheng, Binglin, Peitao Zhou, Chen, Yuhan · 2022 · Figshare
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- Additional file 4 of Modelling the demographic history of human North African genomes points to a recent soft split divergence between populationsJose M Serradell, Jose Miguel Lorenzo-Salazar, Flores, Carlos, Óscar Lao, Comas, David · 2024 · DIGITAL.CSIC (Spanish National Research Council (CSIC))
- Additional file 2 of Modelling the demographic history of human North African genomes points to a recent soft split divergence between populationsJose M Serradell, Jose Miguel Lorenzo-Salazar, Flores, Carlos, Óscar Lao, David Comas · 2024 · DIGITAL.CSIC (Spanish National Research Council (CSIC))
- Additional file 3 of Modelling the demographic history of human North African genomes points to a recent soft split divergence between populationsJose M Serradell, Jose Miguel Lorenzo-Salazar, Flores, Carlos, Óscar Lao, Comas, David · 2024 · DIGITAL.CSIC (Spanish National Research Council (CSIC))
- Additional file 2 of Authoritative subspecies diagnosis tool for European honey bees based on ancestry informative SNPsJamal Momeni, Melanie Parejo, Rasmus O. Nielsen, Langa, Jorge, Iratxe Montes, Laetitia Papoutsis, Leila Farajzadeh, Bendixen, Christian, Eliza Căuia, Charrière, Jean-Daniel et al. · 2021 · Figshare
- Additional file 5 of Machine-learning algorithms based on personalized pathways for a novel predictive model for the diagnosis of hepatocellular carcinomaCheng, Binglin, Peitao Zhou, Chen, Yuhan · 2022 · Figshare
- Additional file 7 of Machine-learning algorithms based on personalized pathways for a novel predictive model for the diagnosis of hepatocellular carcinomaCheng, Binglin, Peitao Zhou, Chen, Yuhan · 2022 · Figshare
- Additional file 1 of Machine-learning algorithms based on personalized pathways for a novel predictive model for the diagnosis of hepatocellular carcinomaCheng, Binglin, Peitao Zhou, Chen, Yuhan · 2022 · Figshare
- Additional file 4 of Authoritative subspecies diagnosis tool for European honey bees based on ancestry informative SNPsJamal Momeni, Melanie Parejo, Rasmus O. Nielsen, Langa, Jorge, Iratxe Montes, Laetitia Papoutsis, Leila Farajzadeh, Bendixen, Christian, Eliza Căuia, Charrière, Jean-Daniel et al. · 2021 · Figshare
- Additional file 5 of Modelling the demographic history of human North African genomes points to a recent soft split divergence between populationsJose M Serradell, Jose Miguel Lorenzo-Salazar, Flores, Carlos, Óscar Lao, Comas, David · 2024 · DIGITAL.CSIC (Spanish National Research Council (CSIC))
- Additional file 6 of Modelling the demographic history of human North African genomes points to a recent soft split divergence between populationsJose M Serradell, Jose Miguel Lorenzo-Salazar, Flores, Carlos, Óscar Lao, Comas, David · 2024 · DIGITAL.CSIC (Spanish National Research Council (CSIC))
- Additional file 4 of Machine-learning algorithms based on personalized pathways for a novel predictive model for the diagnosis of hepatocellular carcinomaCheng, Binglin, Peitao Zhou, Chen, Yuhan · 2022 · Figshare
- Additional file 15 of Machine-learning algorithms based on personalized pathways for a novel predictive model for the diagnosis of hepatocellular carcinomaCheng, Binglin, Peitao Zhou, Chen, Yuhan · 2022 · Figshare
- Additional file 1 of Machine learning approaches to the human metabolome in sepsis identify metabolic links with survivalKosyakovsky, Leah B., Somerset, Emily, Angela J. Rogers, Sklar, Michael, Jared R. Mayers, Toma, Augustin, Yishay Szekely, Sabri Soussi, Bo Wang, Fan, Chun-Po S. et al. · 2022 · Figshare
- Additional file 3 of Authoritative subspecies diagnosis tool for European honey bees based on ancestry informative SNPsJamal Momeni, Melanie Parejo, Rasmus O. Nielsen, Langa, Jorge, Iratxe Montes, Laetitia Papoutsis, Leila Farajzadeh, Bendixen, Christian, Eliza Căuia, Charrière, Jean-Daniel et al. · 2021 · Figshare
- Additional file 3 of Machine-learning algorithms based on personalized pathways for a novel predictive model for the diagnosis of hepatocellular carcinomaCheng, Binglin, Peitao Zhou, Chen, Yuhan · 2022 · Figshare
- Additional file 1 of Modelling the demographic history of human North African genomes points to a recent soft split divergence between populationsJose M Serradell, Jose Miguel Lorenzo-Salazar, Flores, Carlos, Óscar Lao, Comas, David · 2024 · DIGITAL.CSIC (Spanish National Research Council (CSIC))
- BPformer: An Interpretable Deep Learning Framework for Livestock Breed Proportion AnalysisJinpeng Wang, Shuo Sun, Yaran Zhang, Zhihua Ju, Qiang Jiang, Xiuge Wang, Yao Xiao, Lingxi Chen, Jinming Huang · 2025 · Research Square
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- Summary statistics and approximate bayesian computation are comparable to convolutional neural networks for inferring times to fixationMiles D. Roberts, Emily B. Josephs · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
- Inference of germinal center evolutionary dynamics via simulation-based deep learningDuncan Ralph, Athanasios G Bakis, Jared Galloway, Ashni A. Vora, Tatsuya Araki, Gabriel D. Victora, Yun S Song, William S. DeWitt, Frederick A. Matsen IV · 2026 · eLife
- Plasticity and genetic adaptation as contributors to the evolutionary history of cultivated maize and its wild relativesAnne Lorant · 2018 · theses.fr (ABES)
- Forêts aléatoires pour données longitudinales de grande dimensionLouis Capitaine · 2020
- Deep learning from phylogeniesJakub Voznica · 2021 · theses.fr (ABES)
- Deep learning for population genetics : inferring demography and targets of natural selection using convolutional neural networksGuillaume Lan-Fong · 2024 · theses.fr (ABES)
- Role and Application of Machine Learning Techniques in Early Diagnosis and Management of Autoimmune DiseasesAkshay Chadha, Naman Garg · 2026 · Springer eBooks
- Harnessing Deep Learning in Searching Wild Relatives of Domestic AnimalsZheng‐Fei Cai, Bei Liu, Ting-Ting Yin, Cheng Ma, Zi‐Teng Han, Li‐Hong Gu, Chao Zhang, Fei Wu, Li‐Sheng Liu, Xian Shi et al. · 2026 · Molecular Ecology Resources
- Genetic basis of temporal variation in phenology in a woody perennial plantYang Liu · 2026 · npj Systems Biology and Applications
- Beyond Classical Limits: How Quantum SVMs and Feature Maps Revolutionize Machine LearningAsif Mohammed Saad, Kh Ehsanur Rahman, Md. Farhan Shahriyar, Yuldasheva Gulora, Ha Meem Hossain · 2026 · Lecture notes in networks and systems
- On the use of generative models for demographic inference in malaria vectors from genomic dataAmelia Adibe Eneli, Pui Chung Siu, Manolo F. Perez, Austin Burt, Matteo Fumagalli, Sara Mathieson · 2026 · G3 Genes Genomes Genetics
- A Rarefaction Approach to Identify Local Introgression in a Three Population TreeT. C. Smith, Zachary A. Szpiech · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
- A machine learning integrated multi-omics framework for risk prediction and target discovery in insomnia aggravated sepsis induced acute lung injuryJinquan Zhang, Yuwei Zhang, Z.H. Liu, Xiaona Chen, Zhengzheng Yan, Zhixia Chen, Qi Li · 2026 · Frontiers in Immunology
- Artificial Intelligence in the biological sciencesLuis Carlos Martínez, Angelica Plata‐Rueda · 2026 · Acta Biológica Colombiana
- Negative frequency-dependent selection: a positive outlook with deep learningCindy G. Santander, André Luiz Campelo dos Santos, Sandipan Paul Arnab, Matteo Fumagalli, Michael DeGiorgio · 2026 · Philosophical Transactions of the Royal Society B Biological Sciences
- Detecting introgression from phylogenetic invariant site patterns using machine learningPatrick McKenzie, Deren A. R. Eaton · 2026 · Applications in Plant Sciences
- Methods for Detecting Adaptive Molecular EvolutionPauline L. Kamath · 2026 · Oxford University Press eBooks
- Genomic Selection for Milk Yield and Milk Composition Traits in Dairy Goats Using Machine Learning and Prior-Information ModelsJianqing Zhao, Wei L Wang, Jiayidaer Kamalibieke, Yuanpan Mu, Jun Luo · 2026 · Animals
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- Trends in Plant Breeding and GeneticsAndrés J. Cortés · 2026 · International Journal of Molecular Sciences
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