Reference28 articles.
1. Bansal A, Srivastava PA. Transcriptomics to metabolomics: a network perspective for big data. In: Biotechnology: concepts, methodologies, tools, and applications: IGI Global; 2019. p. 361–79.
2. Yamanishi Y, Tabei Y, Kotera M. Statistical machine learning for agriculture and human health care based on biomedical big data. In: Forum “Math-for-Industry”. Singapore: Springer; 2016. p. 111–23.
3. Kanaya S, Altaf-Ul-Amin M, Kiboi SK, Afendi FM. Big data and network biology 2015. BioMed Res Int. 2015;2015
4. Prabha R, Verma MK, Singh DP. Bioinformatics in agriculture: translating alphabets for transformation in the field. In: Plant bioinformatics. Cham: Springer; 2017. p. 197–214.
5. Muthuramalingam P, Krishnan SR, Pothiraj R, Ramesh M. Global transcriptome analysis of combined abiotic stress signaling genes unravels key players in Oryza sativa L.: an in silico approach. Front Plant Sci. 2017;8:759.
Cited by
2 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. Microplastics Detection Techniques;Microplastics Pollution and its Remediation;2024
2. Role of Big Data Analytics in Intelligent Agriculture;Studies in Computational Intelligence;2024