標(biāo)題: Titlebook: Genomic Prediction of Complex Traits; Methods and Protocol Nourollah Ahmadi,Jér?me Bartholomé Book 2022 The Editor(s) (if applicable) and T [打印本頁] 作者: Menthol 時(shí)間: 2025-3-21 19:17
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書目名稱Genomic Prediction of Complex Traits讀者反饋
書目名稱Genomic Prediction of Complex Traits讀者反饋學(xué)科排名
作者: 啪心兒跳動 時(shí)間: 2025-3-21 23:26 作者: Cholesterol 時(shí)間: 2025-3-22 04:12
Genotyping, the Usefulness of Imputation to Increase SNP Density, and Imputation Methods and Tools,sity SNP panels and a limited set of reference individuals. Whatever the imputation method, the imputation accuracy, measured by the correct imputation rate or the correlation between true and imputed genotypes, increased with the increasing relatedness of the individual to be imputed with its dense作者: Nibble 時(shí)間: 2025-3-22 07:21 作者: 天氣 時(shí)間: 2025-3-22 09:48
,Genome and Environment?Based Prediction Models and Methods of Complex Traits Incorporating Genotypetion models for complex traits measured in continuous and noncontinuous (categorical) scale. Related to G?×?E interaction models this review also examine the analyses of the information generated with high-throughput phenotype data (phenomic) and the joint analyses of multitrait and multienvironment作者: 費(fèi)解 時(shí)間: 2025-3-22 14:59
Accounting for Correlation Between Traits in Genomic Prediction,ian Ridge regression and best linear unbiased predictor, but also under a deep learning framework. The multitrait deep learning framework helps implement prediction models with mixed outcomes (continuous, binary, ordinal, and count, measured on different scales), which is not easy in conventional st作者: 費(fèi)解 時(shí)間: 2025-3-22 17:41 作者: 準(zhǔn)則 時(shí)間: 2025-3-22 23:04
Genomic Prediction of Complex Traits in Animal Breeding with Long Breeding History, the Dairy Cattlic ties between years. As genotyping costs decrease, the number of cows genotyped will continue to increase, and these records will become the basic data used to compute genomic evaluations, most likely via application of “single-step” methodologies. Less emphasis in selection goals will be placed o作者: 滔滔不絕的人 時(shí)間: 2025-3-23 03:50 作者: 禁止 時(shí)間: 2025-3-23 09:19
Genomic Prediction of Complex Traits in Forage Plants Species: Perennial Grasses Case,s of heritability. The main reasons are (1) the possibility to select single plants based on their genomic estimated breeding values (GEBV) for traits measured at sward level, (2) a reduction in the duration of selection cycles, and less importantly (3) an increase in the selection intensity associa作者: 古老 時(shí)間: 2025-3-24 00:19
Hiroshi Watanabe,Quang-Kim Transity SNP panels and a limited set of reference individuals. Whatever the imputation method, the imputation accuracy, measured by the correct imputation rate or the correlation between true and imputed genotypes, increased with the increasing relatedness of the individual to be imputed with its dense作者: AWE 時(shí)間: 2025-3-24 05:52
Diagnosis and Treatment of Senile Dementiahat breeders would look at these values in order to conduct selections. Even though the concept of GS seems trivial, due to the high dimensional nature of the data delivered from modern sequencing technologies where the number of molecular markers (.) excess by far the number of data points availabl作者: incubus 時(shí)間: 2025-3-24 09:00
https://doi.org/10.1007/978-3-642-00499-5tion models for complex traits measured in continuous and noncontinuous (categorical) scale. Related to G?×?E interaction models this review also examine the analyses of the information generated with high-throughput phenotype data (phenomic) and the joint analyses of multitrait and multienvironment作者: 愛社交 時(shí)間: 2025-3-24 11:12
https://doi.org/10.1007/978-3-030-64038-5ian Ridge regression and best linear unbiased predictor, but also under a deep learning framework. The multitrait deep learning framework helps implement prediction models with mixed outcomes (continuous, binary, ordinal, and count, measured on different scales), which is not easy in conventional st作者: brassy 時(shí)間: 2025-3-24 17:57 作者: intrigue 時(shí)間: 2025-3-24 21:28
Michael T. Mazur M.D.,Robert J. Kurman M.D.ic ties between years. As genotyping costs decrease, the number of cows genotyped will continue to increase, and these records will become the basic data used to compute genomic evaluations, most likely via application of “single-step” methodologies. Less emphasis in selection goals will be placed o作者: 極深 時(shí)間: 2025-3-25 00:37 作者: 約會 時(shí)間: 2025-3-25 03:41
https://doi.org/10.1007/978-1-4612-3068-7s of heritability. The main reasons are (1) the possibility to select single plants based on their genomic estimated breeding values (GEBV) for traits measured at sward level, (2) a reduction in the duration of selection cycles, and less importantly (3) an increase in the selection intensity associa作者: 車床 時(shí)間: 2025-3-25 09:11
1064-3745 olecular Biology. series format, the book provides theoretical bases and practical guidelines for an informed decision making of practitioners and identifies pertinent routes for 978-1-0716-2207-0978-1-0716-2205-6Series ISSN 1064-3745 Series E-ISSN 1940-6029 作者: antenna 時(shí)間: 2025-3-25 14:47 作者: Chronic 時(shí)間: 2025-3-25 19:16
Integration of Crop Growth Models and Genomic Prediction,Ms are attractive tools for predicting genotype by environment (G×E) interactions. This chapter reviews CGMs, genetic analyses using these models, and the status of studies that integrate genomic prediction with CGMs. Examples of CGM analyses are also provided.作者: Fsh238 時(shí)間: 2025-3-25 20:33
https://doi.org/10.1007/978-94-011-7511-1 genomic prediction procedures and their potential applications in predicting future phenotypic performance, mate allocation, and crossbred and purebred selection. Finally, a brief outline of some future research lines is also proposed.作者: ADOPT 時(shí)間: 2025-3-26 01:05
Diagnosis of Cutaneous Lymphoid Infiltrates topics such as the genetic architecture of complex traits, sibling validation of polygenic scores, and applications to adult health, in vitro fertilization (embryo selection), and genetic engineering.作者: 排名真古怪 時(shí)間: 2025-3-26 04:35 作者: committed 時(shí)間: 2025-3-26 10:09 作者: epicardium 時(shí)間: 2025-3-26 13:44 作者: Bridle 時(shí)間: 2025-3-26 18:22 作者: 嚴(yán)峻考驗(yàn) 時(shí)間: 2025-3-26 23:52
Development of the Social Value Stock,er, we focused on and reviewed the genomic prediction methods that incorporate external biological information into genomic prediction, such as sequence ontology, linkage disequilibrium (LD) of SNPs, quantitative trait loci (QTL), and multi-layer omics data (e.g., transcriptome, epigenome, and microbiome).作者: Priapism 時(shí)間: 2025-3-27 04:21 作者: indoctrinate 時(shí)間: 2025-3-27 08:06
Genome-Enabled Prediction Methods Based on Machine Learning,ctive qualities. It was found that some kernel, Bayesian, and ensemble methods displayed greater robustness and predictive ability. However, the type of study and data distribution must be considered in order to choose the most appropriate model for a given problem.作者: AGGER 時(shí)間: 2025-3-27 10:15 作者: 漂浮 時(shí)間: 2025-3-27 17:09
1064-3745 ation advice from the experts.This volume explores the conceptual framework and the practical issues related to genomic prediction of complex traits in human medicine and in animal and plant breeding. The book is organized into five parts. Part One reminds molecular genetics approaches intending to 作者: Expand 時(shí)間: 2025-3-27 19:04 作者: 不幸的人 時(shí)間: 2025-3-28 01:14 作者: 紀(jì)念 時(shí)間: 2025-3-28 02:38
Medical and Surgical Treatment of BPPV computer packages has exploded in recent years given the interest in this technology. In this chapter, we explore the main computer packages available to fit these models; we also review the special features, strengths, and weaknesses of the methods behind the most popular computer packages.作者: Leisureliness 時(shí)間: 2025-3-28 08:33 作者: 煞費(fèi)苦心 時(shí)間: 2025-3-28 13:02 作者: Reverie 時(shí)間: 2025-3-28 17:04
978-1-0716-2207-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines作者: overreach 時(shí)間: 2025-3-28 21:27
Genomic Prediction of Complex Traits978-1-0716-2205-6Series ISSN 1064-3745 Series E-ISSN 1940-6029 作者: Prosaic 時(shí)間: 2025-3-29 00:08 作者: 混沌 時(shí)間: 2025-3-29 06:34 作者: 統(tǒng)治人類 時(shí)間: 2025-3-29 10:28
Minimally Invasive GERD Therapies,mplement genomic selection. This quality depends on the part of the genetic variability captured by the markers and on the precision of the estimate of their effects. Selection index theory provided the framework for evaluating the accuracy of GEBVs once the information had been gathered, with the g作者: Fibrin 時(shí)間: 2025-3-29 12:48
Infection Due to Non-Candidal Yeastse composition of the calibration set is a key contributor to prediction accuracy. A poorly defined calibration set can result in low accuracies, whereas an optimized one can considerably increase accuracy compared to random sampling, for a same size. Alternatively, optimizing the calibration set can作者: LIMIT 時(shí)間: 2025-3-29 17:47 作者: occult 時(shí)間: 2025-3-29 23:21 作者: 內(nèi)部 時(shí)間: 2025-3-30 00:31 作者: conservative 時(shí)間: 2025-3-30 05:54 作者: 技術(shù) 時(shí)間: 2025-3-30 09:46 作者: 案發(fā)地點(diǎn) 時(shí)間: 2025-3-30 16:07
https://doi.org/10.1007/978-3-642-00499-5 opposed to animal breeding, plant breeding includes extensive multienvironment and multiyear field trial data. Hence, genomic-enabled prediction models should include genotype × environment (G?×?E) interaction, which most of the time increases the prediction performance when the response of lines a作者: 鋼筆記下懲罰 時(shí)間: 2025-3-30 17:17 作者: Isthmus 時(shí)間: 2025-3-30 21:20 作者: 載貨清單 時(shí)間: 2025-3-31 04:12
Robert A. Norman,Robyn Menendeze investigating the performance of omics-enhanced predictions, and highlight potential pitfalls when applying these methods in breeding. We emphasize that the statistical methods available for genomic data can be transferred to the general omics case. However, when using a framework of omic relation作者: Commonwealth 時(shí)間: 2025-3-31 05:13 作者: 滑稽 時(shí)間: 2025-3-31 12:29 作者: Innovative 時(shí)間: 2025-3-31 17:19 作者: 痛得哭了 時(shí)間: 2025-3-31 19:35
Michael T. Mazur M.D.,Robert J. Kurman M.D.has the causative polymorphism been determined for genes affecting economic traits in dairy cattle. Most current methods for genomic evaluation are based on the “two-step” method. Genetic evaluations are computed by the individual animal model, and functions of the evaluations of progeny-tested sire作者: Brochure 時(shí)間: 2025-3-31 21:41
Michael T. Mazur MD,Robert J. Kurman MDrait under GS, the increase in accuracy obtained by genomic estimated breeding values instead of classical pedigree-based estimation of breeding values is very important in aquaculture species ranging from 15% to 89% for growth traits, and from 0% to 567% for disease resistance. Although the impleme作者: Robust 時(shí)間: 2025-4-1 03:39
Mesenchymal Tumors and Other Rare Neoplasms,nomic prediction are assessed with examples from empirical studies. Infrastructure and resources required for the implementation of genomic selection are evaluated. Some general guidelines are provided for the successful application of genomic selection in forest tree breeding programs.作者: 急性 時(shí)間: 2025-4-1 08:21
https://doi.org/10.1007/978-1-4612-3068-7 heritable traits such as disease resistances and heading date, followed by familial selection on swards for forage yield and quality traits. The high level of diversity and heterozygosity, and associated decay of linkage disequilibrium (LD) over very short genomic distances, has hampered the implem作者: Ligament 時(shí)間: 2025-4-1 12:23
https://doi.org/10.1007/978-1-0716-2205-6trait architecture; optimal marker density; prediction methods; phenotypic variations; genomic predictio作者: Myelin 時(shí)間: 2025-4-1 14:31 作者: 欺騙世家 時(shí)間: 2025-4-1 21:35 作者: Yourself 時(shí)間: 2025-4-2 02:02
Genetic Bases of Complex Traits : From Quantitative Trait Loci to Prediction,ion. It provides an overview of the principles and the evolution of methods for mapping the variation of complex traits, and methods for QTL-based prediction of human disease risk and animal and plant breeding value. The principles of linkage-based and linkage disequilibrium–based QTL mapping method作者: 大量殺死 時(shí)間: 2025-4-2 05:34 作者: synovitis 時(shí)間: 2025-4-2 09:43 作者: MEEK 時(shí)間: 2025-4-2 14:16
