GliomaPredict: a clinically useful tool for assigning glioma patients to specific molecular subtypes.
GliomaPredict: a clinically useful tool for assigning glioma patients to specific molecular subtypes.
复制标题
DOI：
10.1186/1472-6947-10-38
复制
发表时间：
2010-07-15
影响因子：
3.5
通讯作者：
Fine HA
中科院分区：
文献类型：
--
作者：
Li A;Bozdag S;Kotliarov Y;Fine HA
Advances in generating genome-wide gene expression data have accelerated the development of molecular-based tumor classification systems. Tools that allow the translation of such molecular classification schemas from research into clinical applications are still missing in the emerging era of personalized medicine. We developed GliomaPredict as a computational tool that allows the fast and reliable classification of glioma patients into one of six previously published stratified subtypes based on sets of extensively validated classifiers derived from hundreds of glioma transcriptomic profiles. Our tool utilizes a principle component analysis (PCA)-based approach to generate a visual representation of the analyses, quantifies the confidence of the underlying subtype assessment and presents results as a printable PDF file. GliomaPredict tool is implemented as a plugin application for the widely-used GenePattern framework. GliomaPredict provides a user-friendly, clinically applicable novel platform for instantly assigning gene expression-based subtype in patients with gliomas thereby aiding in clinical trial design and therapeutic decision-making. Implemented as a user-friendly diagnostic tool, we expect that in time GliomaPredict, and tools like it, will become routinely used in translational/clinical research and in the clinical care of patients with gliomas.
登录
查看更多内容
影响因子：
3.7
作者：
Brennan C;Momota H;Hambardzumyan D;Ozawa T;Tandon A;Pedraza A;Holland E
通讯作者：
Holland E
影响因子：
50.3
作者：
Phillips, HS;Kharbanda, S;Aldape, K
通讯作者：
Aldape, K
影响因子：
11.5
作者：
Nutt, CL;Betensky, RA;Stemmer-Rachamimov, AO
通讯作者：
Stemmer-Rachamimov, AO
影响因子：
3
作者：
Porro, Ivan;Torterolo, Livia;Viti, Federica
通讯作者：
Viti, Federica
影响因子：
11.2
作者：
Li A;Walling J;Ahn S;Kotliarov Y;Su Q;Quezado M;Oberholtzer JC;Park J;Zenklusen JC;Fine HA
通讯作者：
Fine HA