<p>°one-sided paired-sampled t-test for the comparison with respect to the baseline model.</p
DNA microarrays provide data for genome wide patterns of expression between varying conditions. Micr...
<p>TAS denotes the number of trait associated SNPs. Machine learning test is based on ensemble learn...
<p>Fitness of our model is compared to that of the Keedwell et al. model and the TDSRC model on our ...
<p>§secondary data source or combination rule with the best performance (W = weighting according to ...
<p>Validation of the three selected secondary data sources and the best performing combination rules...
<p>Influence of secondary data sources and classifier combination on classification performance. The...
<p>Average test AUC values under best training for classifiers or combined classifiers, each built o...
<p>Individual models with a better performance than the baseline model are given a decreasing score ...
In microarray experiments, several steps may cause sub-optimal quality and the need for quality cont...
<p>We compared the performance of the single genes classifier trained on all genes present on the mi...
In microarray experiments quality often varies, for example between samples and between arrays. The ...
Microarray technology has been widely used in biological and medical studies. Different statistical ...
Abstract Background DNA microarrays provide data for genome wide patterns of expression between obse...
<p>Comparison of the performance characteristics of on both prototype (spotted oligonucleotide) and ...
Summarization: Following the rapid development of gene selection methods, several comparison studies...
DNA microarrays provide data for genome wide patterns of expression between varying conditions. Micr...
<p>TAS denotes the number of trait associated SNPs. Machine learning test is based on ensemble learn...
<p>Fitness of our model is compared to that of the Keedwell et al. model and the TDSRC model on our ...
<p>§secondary data source or combination rule with the best performance (W = weighting according to ...
<p>Validation of the three selected secondary data sources and the best performing combination rules...
<p>Influence of secondary data sources and classifier combination on classification performance. The...
<p>Average test AUC values under best training for classifiers or combined classifiers, each built o...
<p>Individual models with a better performance than the baseline model are given a decreasing score ...
In microarray experiments, several steps may cause sub-optimal quality and the need for quality cont...
<p>We compared the performance of the single genes classifier trained on all genes present on the mi...
In microarray experiments quality often varies, for example between samples and between arrays. The ...
Microarray technology has been widely used in biological and medical studies. Different statistical ...
Abstract Background DNA microarrays provide data for genome wide patterns of expression between obse...
<p>Comparison of the performance characteristics of on both prototype (spotted oligonucleotide) and ...
Summarization: Following the rapid development of gene selection methods, several comparison studies...
DNA microarrays provide data for genome wide patterns of expression between varying conditions. Micr...
<p>TAS denotes the number of trait associated SNPs. Machine learning test is based on ensemble learn...
<p>Fitness of our model is compared to that of the Keedwell et al. model and the TDSRC model on our ...