Computational methods for breast cancer diagnosis, prognosis, and treatment prediction
| Contribuinte(s) |
Zhou, Wanlei Hou,Jingyu |
|---|---|
| Data(s) |
01/08/2014
|
| Resumo |
The research presented here develops a robust reliability algorithm for the identification of reliable protein interactions that can be incorporated with a gene expression dataset to improve the algorithm performance, and novel breast cancer based diagnostic, prognostic and treatment prediction algorithms, respectively, which take into account the existing issues in order to provide a fair estimation of their performance. |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
Deakin University, Faculty of Science, Engineering and Built Environment, School of Information Technology |
| Relação |
http://dro.deakin.edu.au/eserv/DU:30073094/saini-agreement-2014.pdf http://dro.deakin.edu.au/eserv/DU:30073094/saini-computationalmethods-2014A.pdf |
| Direitos |
The Author. All Rights Reserved |
| Palavras-Chave | #breast cancer #protein interactions #diagnotic algorithms #prognostic algorithms #treatment prediction algorithms |
| Tipo |
Thesis |
