人工神经网络和深度学习用于二元、有序和混合结果的基因组预测

{"title":"人工神经网络和深度学习用于二元、有序和混合结果的基因组预测","authors":"O. A. Montesinos López, Abelardo Montesinos López, J. Crossa","doi":"10.1007/978-3-030-89010-0_12","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":374298,"journal":{"name":"Multivariate Statistical Machine Learning Methods for Genomic Prediction","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Neural Networks and Deep Learning for Genomic Prediction of Binary, Ordinal, and Mixed Outcomes\",\"authors\":\"O. A. Montesinos López, Abelardo Montesinos López, J. Crossa\",\"doi\":\"10.1007/978-3-030-89010-0_12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":374298,\"journal\":{\"name\":\"Multivariate Statistical Machine Learning Methods for Genomic Prediction\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Multivariate Statistical Machine Learning Methods for Genomic Prediction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/978-3-030-89010-0_12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multivariate Statistical Machine Learning Methods for Genomic Prediction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-030-89010-0_12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}