Results 71 to 80 of about 536,771 (324)

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

Using machine learning to improve the accuracy of genomic prediction of reproduction traits in pigs

Journal of Animal Science and Biotechnology, 2022
Background Recently, machine learning (ML) has become attractive in genomic prediction, but its superiority in genomic prediction over conventional (ss) GBLUP methods and the choice of optimal ML methods need to be investigated.
Xue Wang, Shaolei Shi, Guijiang Wang, Wenxue Luo, Xia Wei, Ao Qiu, Fei Luo, Xiangdong Ding   +7 more
doaj   +1 more source

Predicting Pancreatic Cancer Using Support Vector Machine [PDF]

, 2017
This report presents an approach to predict pancreatic cancer using Support Vector Machine Classification algorithm. The research objective of this project it to predict pancreatic cancer on just genomic, just clinical and combination of genomic and ...
Bodkhe, Akshay
core   +1 more source

Interplay between circadian and other transcription factors—Implications for cycling transcriptome reprogramming

FEBS Letters, EarlyView.
This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley   +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

Statistical considerations for genomic selection [PDF]

Frontiers of Agricultural Science and Engineering, 2017
Genomic selection is becoming increasingly important in animal and plant breeding, and is attracting greater attention for human disease risk prediction.
Huimin KANG, Lei ZHOU, Jianfeng LIU
doaj   +1 more source

Evidence-Based Detection of Pancreatic Canc [PDF]

, 2020
This study is an effort to develop a tool for early detection of pancreatic cancer using evidential reasoning. An evidential reasoning model predicts the likelihood of an individual developing pancreatic cancer by processing the outputs of a Support ...
Chandratre, Rajeshwari Deepak
core   +1 more source

Identifying Structural Variation in Haploid Microbial Genomes from Short-Read Resequencing Data Using Breseq [PDF]

, 2014
Mutations that alter chromosomal structure play critical roles in evolution and disease, including in the origin of new lifestyles and pathogenic traits in microbes.
Barrick, Jeffrey E., Borges, Jordan J., Colburn, Geoffrey, Deatherage, Daniel E., Knoester, David B., Meyer, Austin G., Reba, Aaron, Strand, Matthew D., Traverse, Charles C.   +8 more
core   +1 more source

Enhancing Genome-Enabled Prediction by Bagging Genomic BLUP

PLoS ONE, 2014
We examined whether or not the predictive ability of genomic best linear unbiased prediction (GBLUP) could be improved via a resampling method used in machine learning: bootstrap aggregating sampling ("bagging"). In theory, bagging can be useful when the predictor has large variance or when the number of markers is much larger than sample size ...
Gianola D, Weigel KA, Kramer N, Stella A, Schon CC   +4 more
openaire   +4 more sources

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source