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Gastrointestinal spatiotemporal mrna expression of ghrelin vs growth hormone receptor and new growth yield machine learning model based on perturbation theory
Ran, Tao1,2; Liu, Yong1,3; Li, Hengzhi1,2; Tang, Shaoxun1; He, Zhixiong1; Munteanu, Cristian R.3; Gonzalez-Diaz, Humberto4,5; Tan, Zhiliang1; Zhou, Chuanshe1
刊名Scientific reports
2016-07-27
卷号6页码:14
ISSN号2045-2322
DOI10.1038/srep30174
通讯作者Zhou, chuanshe(zcs@isa.ac.cn)
英文摘要The management of ruminant growth yield has economic importance. the current work presents a study of the spatiotemporal dynamic expression of ghrelin and ghr at mrna levels throughout the gastrointestinal tract (git) of kid goats under housing and grazing systems. the experiments show that the feeding system and age affected the expression of either ghrelin or ghr with different mechanisms. furthermore, the experimental data are used to build new machine learning models based on the perturbation theory, which can predict the effects of perturbations of ghrelin and ghr mrna expression on the growth yield. the models consider eight longitudinal git segments (rumen, abomasum, duodenum, jejunum, ileum, cecum, colon and rectum), seven time points (0, 7, 14, 28, 42, 56 and 70 d) and two feeding systems (supplemental and grazing feeding) as perturbations from the expected values of the growth yield. the best regression model was obtained using random forest, with the coefficient of determination r-2 of 0.781 for the test subset. the current results indicate that the non-linear regression model can accurately predict the growth yield and the key nodes during gastrointestinal development, which is helpful to optimize the feeding management strategies in ruminant production system.
WOS关键词TISSUE DISTRIBUTION ; DEVELOPMENTAL-CHANGES ; LINEAR-REGRESSION ; RUMEN DEVELOPMENT ; GENE-EXPRESSION ; FOOD-INTAKE ; GHR GENE ; SHEEP ; SELECTION ; NANOPARTICLES
WOS研究方向Science & Technology - Other Topics
WOS类目Multidisciplinary Sciences
语种英语
出版者NATURE PUBLISHING GROUP
WOS记录号WOS:000380327500001
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2374517
专题中国科学院大学
通讯作者Zhou, Chuanshe
作者单位1.Chinese Acad Sci, South Cent Expt Stn Anim Nutr & Feed Sci, Key Lab Agroecol Proc Subtrop Reg,Inst Subtrop Ag, Hunan Res Ctr Livestock & Poultry Sci,Minist Agr, Changsha 410125, Hunan, Peoples R China
2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
3.Univ A Coruna, Fac Comp Sci, RNASA, Campus Elvina S-N, La Coruna 15071, Spain
4.Univ Basque Country UPV EHU, Dept Organ Chem 2, Leioa 48940, Spain
5.Basque Fdn Sci, IKERBASQUE, Bilbao 48011, Spain
推荐引用方式
GB/T 7714
Ran, Tao,Liu, Yong,Li, Hengzhi,et al. Gastrointestinal spatiotemporal mrna expression of ghrelin vs growth hormone receptor and new growth yield machine learning model based on perturbation theory[J]. Scientific reports,2016,6:14.
APA Ran, Tao.,Liu, Yong.,Li, Hengzhi.,Tang, Shaoxun.,He, Zhixiong.,...&Zhou, Chuanshe.(2016).Gastrointestinal spatiotemporal mrna expression of ghrelin vs growth hormone receptor and new growth yield machine learning model based on perturbation theory.Scientific reports,6,14.
MLA Ran, Tao,et al."Gastrointestinal spatiotemporal mrna expression of ghrelin vs growth hormone receptor and new growth yield machine learning model based on perturbation theory".Scientific reports 6(2016):14.
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