Chemometric approach to fatty acid metabolism-distribution networks and methane production in ruminal microbiome
详细信息 查看全文
- 作者：Yong Liua ; b ; c ; Claudia Giovanna Peñ ; uelas-Rivasa ; Esvieta Tenorio-Borrotoa ; Marí ; a Rivas-Guevarad ; Germá ; n Buendí ; a-Rodrí ; gueze ; Zhiliang Tanb ; Humberto Gonzá ; lez-Dí ; azf ; g ; humberto.gonzalezdiaz@ehu.eus" class="auth_mail" title="E-mail the corresponding author
- 关键词：Complex networks ; Artificial neural networks ; Perturbation theory ; Linear free-energy relationships ; Methane production ; Fatty acids in ruminal microbiome
- 刊名：Chemometrics and Intelligent Laboratory Systems
- 出版年：2016
- 出版时间：15 February 2016
- 年：2016
- 卷：151
- 期：Complete
- 页码：1-8
- 全文大小：571 K
文摘
- •
Methane emission has attracted more attention from nutritional and environmental scientists.
- •
We can develop a Chemometrics methodology to integrate different parallel laboratory experiments.
- •
We can approach to experimental data of methane production with perturbations theory.
- •
These perturbation theory models are useful to assemble fatty acid distribution networks.