206 search results - page 29 / 42 » Predicting incomplete gene microarray data with the use of s... |
136
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ECML
2006
Springer
15 years 6 months ago
2006
Springer
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
110
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JCP
2006
15 years 3 months ago
2006
Gliomas are malignant brain tumors that grow by invading adjacent tissue. We propose and evaluate a 3D classification-based growth model, CDM, that predicts how a glioma will grow ...
116
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EPIA
2003
Springer
15 years 8 months ago
2003
Springer
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
121
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BMCBI
2007
15 years 3 months ago
2007
Background: A microarray study may select different differentially expressed gene sets because of different selection criteria. For example, the fold-change and p-value are two co...
151
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BMCBI
2007
15 years 3 months ago
2007
Background: In vertebrates, a large part of gene transcriptional regulation is operated by cisregulatory modules. These modules are believed to be regulating much of the tissue-sp...