Results 81 to 90 of about 3,820,379 (274)

Predicting genome-wide DNA methylation using methylation marks, genomic position, and DNA regulatory elements [PDF]

, 2013
Background: Recent assays for individual-specific genome-wide DNA methylation profiles have enabled epigenome-wide association studies to identify specific CpG sites associated with a phenotype. Computational prediction of CpG site-specific methylation levels is important, but current approaches tackle average methylation within a genomic locus and are
arxiv   +1 more source

A Stacking Ensemble Learning Framework for Genomic Prediction

Frontiers in Genetics, 2020
Machine learning (ML) is perhaps the most useful tool for the interpretation of large genomic datasets. However, the performance of a single machine learning method in genomic selection (GS) is currently unsatisfactory. To improve the genomic predictions,
Mang Liang, Tianpeng Chang, B. An, X. Duan, Lili Du, Xiaoqiao Wang, Jian Miao, Lingyang Xu, Xue Gao, Lupei Zhang, Junya Li, Huijiang Gao   +11 more
semanticscholar   +1 more source

Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival Prediction [PDF]

arXiv, 2023
The integration of multi-modal data, such as pathological images and genomic data, is essential for understanding cancer heterogeneity and complexity for personalized treatments, as well as for enhancing survival predictions. Despite the progress made in integrating pathology and genomic data, most existing methods cannot mine the complex inter ...
arxiv  

Comparison of alternative approaches to single-trait genomic prediction using genotyped and non-genotyped Hanwoo beef cattle. [PDF]

, 2017
BackgroundGenomic predictions from BayesA and BayesB use training data that include animals with both phenotypes and genotypes. Single-step methodologies allow additional information from non-genotyped relatives to be included in the analysis. The single-
Cheng, Hao, Dekkers, Jack, Fernando, Rohan, Garrick, Dorian, Golden, Bruce, Lee, Deukhwan, Lee, Joonho, Park, Kyungdo   +7 more
core   +3 more sources

miSTAR : miRNA target prediction through modeling quantitative and qualitative miRNA binding site information in a stacked model structure [PDF]

, 2016
In microRNA (miRNA) target prediction, typically two levels of information need to be modeled: the number of potential miRNA binding sites present in a target mRNA and the genomic context of each individual site.
Anckaert, Jasper, De Baets, Bernard, De Paepe, Ayla, Stock, Michiel, Van Peer, Gert, Vandesompele, Jo, Volders, Pieter-Jan, Waegeman, Willem   +7 more
core   +1 more source

Genomic prediction in the wild: A case study in Soay sheep

bioRxiv, 2020
Genomic prediction, the technique whereby an individual’s genetic component of their phenotype is estimated from its genome, has revolutionised animal and plant breeding and medical genetics. However, despite being first introduced nearly two decades ago,
B. Ashraf, D. Hunter, C. Bérénos, PA Ellis, S. Johnston, J. Pilkington, J. Pemberton, J. Slate   +7 more
semanticscholar   +1 more source

Enhancing Genomic Prediction Accuracy in Beef Cattle Using WMGBLUP and SNP Pre-Selection

Agriculture
Genomic selection (GS) plays a crucial role in livestock breeding. However, its implementation in Chinese beef cattle breeding is constrained by a limited reference population and incomplete data records.
Huqiong Zhao, Xueyuan Xie, Haoran Ma, Peinuo Zhou, Boran Xu, Yuanqing Zhang, Lingyang Xu, Huijiang Gao, Junya Li, Zezhao Wang, Xiaoyan Niu   +10 more
doaj   +1 more source

Genomic prediction of residual feed intake in US Holstein dairy cattle.

Journal of Dairy Science, 2020
Genomic selection is an important tool to introduce feed efficiency into dairy cattle breeding. The goals of the current research are to estimate genomic breeding values of residual feed intake (RFI) and to assess the prediction reliability for RFI in ...
Bingjie Li, P. Vanraden, E. Guduk, J. O’Connell, D. Null, E. Connor, M. VandeHaar, R. Tempelman, K. Weigel, J. Cole   +9 more
semanticscholar   +1 more source

Survival prediction from clinico-genomic models - a comparative study

BMC Bioinformatics, 2009
Background Survival prediction from high-dimensional genomic data is an active field in today's medical research. Most of the proposed prediction methods make use of genomic data alone without considering established clinical covariates that often are ...
Nygård Ståle, Bøvelstad Hege M, Borgan Ørnulf   +2 more
doaj   +1 more source

Effects of common full-sib families on accuracy of genomic prediction for tagging weight in striped catfish Pangasianodon hypophthalmus

Frontiers in Genetics, 2023
Common full-sib families (c2) make up a substantial proportion of total phenotypic variation in traits of commercial importance in aquaculture species and omission or inclusion of the c2 resulted in possible changes in genetic parameter estimates and re ...
Nguyen Thanh Vu, Nguyen Thanh Vu, Nguyen Thanh Vu, Tran Huu Phuc, Nguyen Hong Nguyen, Nguyen Hong Nguyen, Nguyen Van Sang   +6 more
doaj   +1 more source