A Hybrid of Metabolic Flux Analysis and Bayesian Factor Modeling for Multiomic Temporal Pathway Activation-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Hybrid of Metabolic Flux Analysis and Bayesian Factor Modeling for Multiomic Temporal Pathway Activation

Published:2015-04-27 Issue:8 Volume:4 Page:880-889
ISSN:2161-5063
Container-title:ACS Synthetic Biology
language:en
Short-container-title:ACS Synth. Biol.

Author:

Angione Claudio¹,Pratanwanich Naruemon¹,Lió Pietro¹

Affiliation:

1. Computer Laboratory, University of Cambridge, Cambridge CB3 0FD, United Kingdom

Funder

Seventh Framework Programme

Publisher

American Chemical Society (ACS)

Subject

Biochemistry, Genetics and Molecular Biology (miscellaneous),Biomedical Engineering,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/sb5003407

Reference40 articles.

1. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

2. Systems Biology and P4 Medicine: Past, Present, and Future

3. Inferring pathway crosstalk networks using gene set co-expression signatures

4. A global pathway crosstalk network

5. Pathway-based Bayesian inference of drug–disease interactions

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning for the advancement of genome-scale metabolic modeling;Biotechnology Advances;2024-09

2. Discovering Essential Multiple Gene Effects Through Large Scale Optimization: An Application to Human Cancer Metabolism;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2021-11-01

3. Low Entropy Sub-Networks Prevent the Integration of Metabolomic and Transcriptomic Data;Entropy;2020-10-31

4. An analysis of the mechanism underlying photocatalytic disinfection based on integrated metabolic networks and transcriptional data;Journal of Environmental Sciences;2020-06

5. The era of big data: Genome-scale modelling meets machine learning;Computational and Structural Biotechnology Journal;2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3