发明名称 |
Time-dependent outcome prediction using neural networks |
摘要 |
A neural network system and method for analyzing data sets, especially microarray gene expression data. The neural network is trained to generate time-dependent outcome predictions based on input features and outcome functions for a number of subjects. The features may be highly dimensional relative to the number of subjects, and feature selection is applied to the input feature data for training the neural network. A trained neural network processes input features from a subject to generate an outcome function that reflects the probability of the occurrence of an event at a given time point for that subject.
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申请公布号 |
US2004010481(A1) |
申请公布日期 |
2004.01.15 |
申请号 |
US20020316184 |
申请日期 |
2002.12.09 |
申请人 |
WHITEHEAD INSTITUTE FOR BIOMEDICAL RESEARCH |
发明人 |
MANI D.R.;TAMAYO PABLO;MESIROV JILL;GOLUB TODD R.;LANDER ERIC |
分类号 |
G06F19/00;G06N3/04;(IPC1-7):G06N3/08;G06F15/18;G06G7/00;G06E3/00;G06E1/00 |
主分类号 |
G06F19/00 |
代理机构 |
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