BMC Systems Biology
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BTNET : boosted tree based gene regulatory network inference algorithm using time-course measurement data
BMC Systems Biology - Tập 12 - Trang 69-77 - 2018
Identifying gene regulatory networks is an important task for understanding
biological systems. Time-course measurement data became a valuable resource for
inferring gene regulatory networks. Various methods have been presented for
reconstructing the networks from time-course measurement data. However, existing
methods have been validated on only a limited number of benchmark datasets, and
rarely ...
Erratum to: ppiPre: predicting protein-protein interactions by combining heterogeneous features
BMC Systems Biology - Tập 9 - Trang 1-1 - 2015
Network topology-based detection of differential gene regulation and regulatory switches in cell metabolism and signaling
BMC Systems Biology - Tập 8 - Trang 1-10 - 2014
Common approaches to pathway analysis treat pathways merely as lists of genes
disregarding their topological structures, that is, ignoring the genes'
interactions on which a pathway's cellular function depends. In contrast,
PathWave has been developed for the analysis of high-throughput gene expression
data that explicitly takes the topology of networks into account to identify
both global dysregu...
From correlation to causation networks: a simple approximate learning algorithm and its application to high-dimensional plant gene expression data
BMC Systems Biology - Tập 1 - Trang 1-10 - 2007
The use of correlation networks is widespread in the analysis of gene expression
and proteomics data, even though it is known that correlations not only confound
direct and indirect associations but also provide no means to distinguish
between cause and effect. For "causal" analysis typically the inference of a
directed graphical model is required. However, this is rather difficult due to
the curs...
Can single knockouts accurately single out gene functions?
BMC Systems Biology - Tập 2 - Trang 1-10 - 2008
When analyzing complex biological systems, a major objective is localization of
function – assessing how much each element contributes to the execution of
specific tasks. To establish causal relationships, knockout and perturbation
studies are commonly executed. The vast majority of studies perturb a single
element at a time, yet one may hypothesize that in non-trivial biological
systems single-pe...
Network component analysis provides quantitative insights on an Arabidopsis transcription factor-gene regulatory network
BMC Systems Biology - Tập 7 - Trang 1-13 - 2013
Gene regulatory networks (GRNs) are models of molecule-gene interactions
instrumental in the coordination of gene expression. Transcription factor
(TF)-GRNs are an important subset of GRNs that characterize gene expression as
the effect of TFs acting on their target genes. Although such networks can
qualitatively summarize TF-gene interactions, it is highly desirable to
quantitatively determine th...
A system for success: BMC Systems Biology, a new open access journal
BMC Systems Biology - Tập 1 - Trang 1-3 - 2007
BMC Systems Biology is the first open access journal spanning the growing field
of systems biology from molecules up to ecosystems. The journal has launched as
more and more institutes are founded that are similarly dedicated to this new
approach. BMC Systems Biology builds on the ongoing success of the BMC series,
providing a venue for all sound research in the systems-level analysis of
biology.
Detecting microRNAs of high influence on protein functional interaction networks: a prostate cancer case study
BMC Systems Biology - Tập 6 Số 1 - Trang 112 - 2012
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