The rank aggregation consensus result of the reference genes and B elements via the performance of the Cross-Entropy (CE) Monte Carlo algorithm in combination with the Spearman’s foot-rule weighted distance.</p
<p>The Spearman correlation coefficients between the genetic and physical positions of each linkage ...
<p>(A) The MI algorithm, consisting of weighting function and ; (B) The unweighted SCA algorithm, c...
A: The distributions of correlation coefficients between gene dependency data by RNAi and CRISPR per...
<p>Rank aggregation result using the cross entropy algorithm with spearman’s foot-rule weighted dist...
<p>Visual representation of rank aggregation using Monte Carlo algorithm with the Spearman footrule ...
<p>RankAggreg (v. 0.4–3) package for R was used to compute Monte Carlo algorithm with the Spearman f...
Summary: Gene prioritization refers to a family of computational techniques for inferring disease ge...
In this article, we describe a new approach that combines the estimation of the lengths of highly co...
<p>*The ranking has been calculated by averaging the ranks obtained by geNorm and NormFinder.</p><p>...
Spearman’s rank correlations between the contribution of each grid cell to the overall BA similarity...
Motivation: Biologists often employ clustering techniques in the explorative phase of microarray dat...
This thesis is concerned with developing novel rank aggregation methods for gene prioritization. Ge...
<p>Consensus of stability ranking of the reference gene estimated by geNorm and NormFinder.</p
Inter-group ranking of the candidate reference genes according to their stability values calculated ...
<p>“*”: Geometric mean (GM); Stability Value (SV); Pearson's correlation coefficient ([r]); Standard...
<p>The Spearman correlation coefficients between the genetic and physical positions of each linkage ...
<p>(A) The MI algorithm, consisting of weighting function and ; (B) The unweighted SCA algorithm, c...
A: The distributions of correlation coefficients between gene dependency data by RNAi and CRISPR per...
<p>Rank aggregation result using the cross entropy algorithm with spearman’s foot-rule weighted dist...
<p>Visual representation of rank aggregation using Monte Carlo algorithm with the Spearman footrule ...
<p>RankAggreg (v. 0.4–3) package for R was used to compute Monte Carlo algorithm with the Spearman f...
Summary: Gene prioritization refers to a family of computational techniques for inferring disease ge...
In this article, we describe a new approach that combines the estimation of the lengths of highly co...
<p>*The ranking has been calculated by averaging the ranks obtained by geNorm and NormFinder.</p><p>...
Spearman’s rank correlations between the contribution of each grid cell to the overall BA similarity...
Motivation: Biologists often employ clustering techniques in the explorative phase of microarray dat...
This thesis is concerned with developing novel rank aggregation methods for gene prioritization. Ge...
<p>Consensus of stability ranking of the reference gene estimated by geNorm and NormFinder.</p
Inter-group ranking of the candidate reference genes according to their stability values calculated ...
<p>“*”: Geometric mean (GM); Stability Value (SV); Pearson's correlation coefficient ([r]); Standard...
<p>The Spearman correlation coefficients between the genetic and physical positions of each linkage ...
<p>(A) The MI algorithm, consisting of weighting function and ; (B) The unweighted SCA algorithm, c...
A: The distributions of correlation coefficients between gene dependency data by RNAi and CRISPR per...