Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6371046 | Journal of Theoretical Biology | 2012 | 11 Pages |
Abstract
⺠We did a multi-class prediction of RNA-binding protein domains. ⺠We compared prediction accuracy of three different state-of-the-art predictor methods. ⺠We discovered dissimilar features using â1/âq-regularized logistic regression. ⺠Our method could be applied to identify novel RNA-binding proteins with unique folds.
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Authors
Samad Jahandideh, Vinodh Srinivasasainagendra, Degui Zhi,