A group LASSO-based method for robustly inferring gene regulatory networks from multiple time-course datasets
نویسندگان
چکیده
منابع مشابه
Inferring gene regulatory networks from multiple microarray datasets
MOTIVATION Microarray gene expression data has increasingly become the common data source that can provide insights into biological processes at a system-wide level. One of the major problems with microarrays is that a dataset consists of relatively few time points with respect to a large number of genes, which makes the problem of inferring gene regulatory network an ill-posed one. On the othe...
متن کاملInferring pairwise regulatory relationships from multiple time series datasets
MOTIVATION Time series expression experiments have emerged as a popular method for studying a wide range of biological systems under a variety of conditions. One advantage of such data is the ability to infer regulatory relationships using time lag analysis. However, such analysis in a single experiment may result in many false positives due to the small number of time points and the large numb...
متن کاملInferring cluster-based networks from differently stimulated multiple time-course gene expression data
MOTIVATION Clustering and gene network inference often help to predict the biological functions of gene subsets. Recently, researchers have accumulated a large amount of time-course transcriptome data collected under different treatment conditions to understand the physiological states of cells in response to extracellular stimuli and to identify drug-responsive genes. Although a variety of sta...
متن کاملInferring Networks from Multiple Samples with Consensus LASSO
Networks are very useful tools to decipher complex regulatory relationships between genes in an organism. Most work address this issue in the context of i.i.d., treated vs. control or time-series samples. However, many data sets include expression obtained for the same cell type of an organism, but in several conditions. We introduce a novel method for inferring networks from samples obtained i...
متن کاملConsensus gene regulatory networks: combining multiple microarray gene expression datasets
In this paper we present a method for modelling gene regulatory networks by forming a consensus Bayesian network model from multiple microarray gene expression datasets. Our method is based on combining Bayesian network graph topologies and does not require any special pre-processing of the datasets, such as re-normalisation. We evaluate our method on a synthetic regulatory network and part of ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Systems Biology
سال: 2014
ISSN: 1752-0509
DOI: 10.1186/1752-0509-8-s3-s1