409 search results - page 55 / 82 » Predicting Nucleolar Proteins Using Support-Vector Machines |
131
Voted
CIBCB
2005
IEEE
15 years 5 months ago
2005
IEEE
— We present an integrative method for clustering coregulated genes and elucidating their underlying regulatory mechanisms. We use multi-state partition functions and thermodynam...
132
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We present a new machine learning approach for 3D-QSAR, the task of predicting binding affinities of molecules to target proteins based on 3D structure. Our approach predicts bind...
132
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BMCBI
2007
15 years 3 months ago
2007
Background: Our goal is to develop a state-of-the-art protein secondary structure predictor, with an intuitive and biophysically-motivated energy model. We treat structure predict...
144
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BMCBI
2007
15 years 3 months ago
2007
Background: The genomic revolution has led to rapid growth in sequencing of genes and proteins, and attention is now turning to the function of the encoded proteins. In this respe...
118
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PAKDD
2004
ACM
15 years 9 months ago
2004
ACM
Computational diagnosis of cancer is a classification problem, and it has two special requirements on a learning algorithm: perfect accuracy and small number of features used in t...