<p>(A) The integrated network is constructed from String and HumanNet; (B) The integrated network is constructed from STRING and HIPPIE. (C) The integrated network is constructed from STRING and FunCoup. (D)The integrated network is constructed from HIPPIE and FunCoup.</p
In this opinion piece, we attempt to unify recent arguments we have made that serious confounds affe...
<p>The boxplots show the relative improvement of the area under the receiver operating characteristi...
We propose and systematically compare different gene network combination algorithms to experimentall...
<p>In each leave-one-out cross-validation fold for a given disease, a different gene is retained fro...
<p>Leave-one-out cross-validation results of HDiffusion on the PPI, HEFalMp cutoff = 0.2, STRING sou...
<p>Results of each tested prioritization method on the STRINGv8.2 network. Mean and standard deviati...
Numerous methods have been developed for inferring gene regulatory networks from expression data, ho...
Motivation: Over the last decade, numerous methods have been developed for inference of regulatory n...
For many complex diseases the cause/mechanism can be tied not to a single gene and in order to cope ...
(A) Nested leave-one-out-cross-validation was performed. One gene was excluded from each seed gene l...
The inference of biological networks is an active research area in the field of systems biology. The...
The inference of biological networks is an active research area in the field of systems biology. The...
<p><b>A.</b> Comparison based on fold enrichment of true edges in the inferred network. The cartoon ...
MOTIVATION: Network-based gene function inference methods have proliferated in recent years, but mea...
Scientists today have access to an unprecedented arsenal of high-tech tools that can be used to thor...
In this opinion piece, we attempt to unify recent arguments we have made that serious confounds affe...
<p>The boxplots show the relative improvement of the area under the receiver operating characteristi...
We propose and systematically compare different gene network combination algorithms to experimentall...
<p>In each leave-one-out cross-validation fold for a given disease, a different gene is retained fro...
<p>Leave-one-out cross-validation results of HDiffusion on the PPI, HEFalMp cutoff = 0.2, STRING sou...
<p>Results of each tested prioritization method on the STRINGv8.2 network. Mean and standard deviati...
Numerous methods have been developed for inferring gene regulatory networks from expression data, ho...
Motivation: Over the last decade, numerous methods have been developed for inference of regulatory n...
For many complex diseases the cause/mechanism can be tied not to a single gene and in order to cope ...
(A) Nested leave-one-out-cross-validation was performed. One gene was excluded from each seed gene l...
The inference of biological networks is an active research area in the field of systems biology. The...
The inference of biological networks is an active research area in the field of systems biology. The...
<p><b>A.</b> Comparison based on fold enrichment of true edges in the inferred network. The cartoon ...
MOTIVATION: Network-based gene function inference methods have proliferated in recent years, but mea...
Scientists today have access to an unprecedented arsenal of high-tech tools that can be used to thor...
In this opinion piece, we attempt to unify recent arguments we have made that serious confounds affe...
<p>The boxplots show the relative improvement of the area under the receiver operating characteristi...
We propose and systematically compare different gene network combination algorithms to experimentall...