A consensus method for prioritising drug-associated target proteins
- Autor
- GANG SHU1 ; XIAODI HUANG2 ; SHANFENG ZHU3
[1] School of Computer Science and Shanghai Key Lab. of Intelligent Information Processing, Fudan University, Shanghai 200433, China
[2] School of Computing and Mathematics, Charles Sturt University, Albury, NSW 2640, Australia
[3] School of Computer Science and Shanghai Key Lab. of Intelligent Information Processing, Fudan University, Shanghai 200433, China - Fuente
International journal of data mining and bioinformatics (Print). 2012, Vol 6, Num 2, pp 178-195, 18 p ; ref : 1 p.1/4
- ISSN
- 1748-5673
- Campo Científico
- Bioinformatics
- Editor
- Inderscience Publishers, Genève
- País de la publicación
- Switzerland
- Tipo de documento
- Article
- Idioma
- English
- Palabra clave de autor
- biomedical text mining consensus method data mining drug target prioritisation
- Palabra clave (fr)
- Consensus Fouille donnée Fouille texte Médicament ciblé Méthode Protéine
- Palabra clave (in)
- Consensus Data mining Text mining Targeted drug Method Protein
- Palabra clave (es)
- Consenso Busca dato Explotacion texto Medicamento dirigido Método Proteína
- Clasificación
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A01 General aspects / 002A01B Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
- Disciplina
- Biological sciences. Generalities. Modelling. Methods Generalities in biological sciences
- Procedencia
- Inist-CNRS
- Base de datos
- PASCAL
- Identificador INIST
- 25953691
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1504/IJDMB.2012.048197 
https://dx.doi.org/10.1504/IJDMB.2012.048197
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