Add to ORKGData mining is a cornerstone of modern bioinformatics. Techniques such as feature selection or data-driven model (classifier) building are used broadly in many fields including gene expression data analysis (Wood, et al., 2007), proteomics (Barla, et al., 2008), secondary and tertiary protein structure prediction (Heringa, 2000; Kryshtafovych, et al., 2007), prediction of experimental behavior of proteins or other molecules (Liao, et al.
Abstract—Feature selection techniques became a lucid want in many bioinformatics applications. Addit...
Improving the performance of protein function prediction is the ultimate goal for a bioinforraaticia...
<div>Bioinformatics is becoming more and more a <a href="http://arxiv.org/abs/1308.3277">Data Mining...
Feature selection techniques have become an apparent need in many bioinformatics applications. In ad...
Feature selection has become the focus of much research in areas of application for which datasets w...
Feature selection has become the focus of much research in areas of application for which datasets w...
Feature selection techniques have become an apparent need in many bioinformatics applications. In ad...
Feature selection techniques have become an apparent need in many bioinformatics applications. In ad...
Feature selection techniques have become an apparent need in many bioinformatics applications. In ad...
Feature selection attracts researchers who deal with machine learning and data mining. It consists o...
Feature selection techniques have become an apparent need in many bioinformatics applications. In ad...
Feature selection attracts researchers who deal with machine learning and data mining. It consists o...
Motivation: Pre-selection of informative features for supervised classification is a crucial, albeit...
The life sciences create new challenges for feature selection in data mining: First, there is a need...
The sheer volume of data today and its expected growth over the next years are some of the key chall...
Abstract—Feature selection techniques became a lucid want in many bioinformatics applications. Addit...
Improving the performance of protein function prediction is the ultimate goal for a bioinforraaticia...
<div>Bioinformatics is becoming more and more a <a href="http://arxiv.org/abs/1308.3277">Data Mining...
Feature selection techniques have become an apparent need in many bioinformatics applications. In ad...
Feature selection has become the focus of much research in areas of application for which datasets w...
Feature selection has become the focus of much research in areas of application for which datasets w...
Feature selection techniques have become an apparent need in many bioinformatics applications. In ad...
Feature selection techniques have become an apparent need in many bioinformatics applications. In ad...
Feature selection techniques have become an apparent need in many bioinformatics applications. In ad...
Feature selection attracts researchers who deal with machine learning and data mining. It consists o...
Feature selection techniques have become an apparent need in many bioinformatics applications. In ad...
Feature selection attracts researchers who deal with machine learning and data mining. It consists o...
Motivation: Pre-selection of informative features for supervised classification is a crucial, albeit...
The life sciences create new challenges for feature selection in data mining: First, there is a need...
The sheer volume of data today and its expected growth over the next years are some of the key chall...
Abstract—Feature selection techniques became a lucid want in many bioinformatics applications. Addit...
Improving the performance of protein function prediction is the ultimate goal for a bioinforraaticia...
<div>Bioinformatics is becoming more and more a <a href="http://arxiv.org/abs/1308.3277">Data Mining...