Cargando…
Data Mining Methods for Omics and Knowledge of Crude Medicinal Plants toward Big Data Biology
Molecular biological data has rapidly increased with the recent progress of the Omics fields, e.g., genomics, transcriptomics, proteomics and metabolomics that necessitates the development of databases and methods for efficient storage, retrieval, integration and analysis of massive data. The presen...
Autores principales: | Afendi, Farit M., Ono, Naoaki, Nakamura, Yukiko, Nakamura, Kensuke, Darusman, Latifah K., Kibinge, Nelson, Morita, Aki Hirai, Tanaka, Ken, Horai, Hisayuki, Altaf-Ul-Amin, Md., Kanaya, Shigehiko |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology (RNCSB) Organization
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3962233/ https://www.ncbi.nlm.nih.gov/pubmed/24688691 http://dx.doi.org/10.5936/csbj.201301010 |
Ejemplares similares
-
Finding an appropriate equation to measure similarity between binary vectors: case studies on Indonesian and Japanese herbal medicines
por: Wijaya, Sony Hartono, et al.
Publicado: (2016) -
Big Data and Network Biology
por: Kanaya, Shigehiko, et al.
Publicado: (2014) -
Big Data and Network Biology 2016
por: Kanaya, Shigehiko, et al.
Publicado: (2017) -
Big Data and Network Biology 2015
por: Kanaya, Shigehiko, et al.
Publicado: (2015) -
Systems Biology in the Context of Big Data and Networks
por: Altaf-Ul-Amin, Md., et al.
Publicado: (2014)