<p>These genes were filtered for having strong, independent <i>cis</i>-eQTL (pairwise ) using the adaptive lasso algorithm for a <i>Saccharomyces cerevisiae</i> cross between a wild strain and lab strain <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1001014#pcbi.1001014-Stranger1" target="_blank">[27]</a>, with 112 segregants (see text for details). (a) Recovered undirected network among these 35 gene expression products and (b) putative directed network reconstructed for the same genes, based on the edges between <i>cis</i>-eQTL (not shown) and the 35 genes. Bold edges represent directed edges with strong confidence based on a resampling procedure (see text for details).</p
Motivation: Systems Genetics approaches, in particular those relying on genetical genomics data, put...
Gene network reconstruction is a bioinformatics task that aims at modelling the complex regulatory a...
Gene network reconstruction is a bioinformatics task that aims at modelling the complex regulatory a...
<p>(a) After selection of phenotypes in Step 1, we produce a covariance matrix between observed gene...
<div><p>Integrating genetic perturbations with gene expression data not only improves accuracy of re...
Expression QTL (or eQTL) studies involve the collection of microarray gene expression data and genet...
Background:\ud A genetic network can be represented as a directed graph in which a node corresponds ...
Conventional differential gene expression analysis by methods such as SAM (Chu et al., 2001), studen...
<p>example of network reconstruction and comparison with the true network. In the top panels, the to...
What we do Utilize the Lasso method (Tibshirani 1996) to obtain effective regu-lator networks for g...
Background: A genetic network can be represented as a directed graph in which a node corresponds to...
BACKGROUND: Identifying gene interactions is a topic of great importance in genomics, and approaches...
The coexpression is very large and can be regenerated more easily than transferred (or saved, for in...
• Infer linear “gene-to-gene ” networks from “extended Spellman ” data (yeast cell-cycles) of expres...
Identifying gene regulatory networks (GRNs) which consist of a large number of interacting units has...
Motivation: Systems Genetics approaches, in particular those relying on genetical genomics data, put...
Gene network reconstruction is a bioinformatics task that aims at modelling the complex regulatory a...
Gene network reconstruction is a bioinformatics task that aims at modelling the complex regulatory a...
<p>(a) After selection of phenotypes in Step 1, we produce a covariance matrix between observed gene...
<div><p>Integrating genetic perturbations with gene expression data not only improves accuracy of re...
Expression QTL (or eQTL) studies involve the collection of microarray gene expression data and genet...
Background:\ud A genetic network can be represented as a directed graph in which a node corresponds ...
Conventional differential gene expression analysis by methods such as SAM (Chu et al., 2001), studen...
<p>example of network reconstruction and comparison with the true network. In the top panels, the to...
What we do Utilize the Lasso method (Tibshirani 1996) to obtain effective regu-lator networks for g...
Background: A genetic network can be represented as a directed graph in which a node corresponds to...
BACKGROUND: Identifying gene interactions is a topic of great importance in genomics, and approaches...
The coexpression is very large and can be regenerated more easily than transferred (or saved, for in...
• Infer linear “gene-to-gene ” networks from “extended Spellman ” data (yeast cell-cycles) of expres...
Identifying gene regulatory networks (GRNs) which consist of a large number of interacting units has...
Motivation: Systems Genetics approaches, in particular those relying on genetical genomics data, put...
Gene network reconstruction is a bioinformatics task that aims at modelling the complex regulatory a...
Gene network reconstruction is a bioinformatics task that aims at modelling the complex regulatory a...