Data based identification and prediction of nonlinear and complex dynamical systems
The problem of reconstructing nonlinear and complex dynamical systems from measured
data or time series is central to many scientific disciplines including physical, biological …
data or time series is central to many scientific disciplines including physical, biological …
Gene regulatory networks and their applications: understanding biological and medical problems in terms of networks
In recent years gene regulatory networks (GRNs) have attracted a lot of interest and many
methods have been introduced for their statistical inference from gene expression data …
methods have been introduced for their statistical inference from gene expression data …
Molecular ecological network analyses
Background Understanding the interaction among different species within a community and
their responses to environmental changes is a central goal in ecology. However, defining …
their responses to environmental changes is a central goal in ecology. However, defining …
Springer series in statistics
The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
TM4: a free, open-source system for microarray data management and analysis
AI Saeed, V Sharov, J White, J Li, W Liang… - …, 2003 - Taylor & Francis
BioTechniques 34: 374-378 (February 2003) supported, MADAM is being adapted to read
and write MAGE-ML, the XML data exchange format being developed by an international …
and write MAGE-ML, the XML data exchange format being developed by an international …
A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics
J Schäfer, K Strimmer - Statistical applications in genetics and …, 2005 - degruyter.com
Inferring large-scale covariance matrices from sparse genomic data is an ubiquitous
problem in bioinformatics. Clearly, the widely used standard covariance and correlation …
problem in bioinformatics. Clearly, the widely used standard covariance and correlation …
[HTML][HTML] A lentiviral RNAi library for human and mouse genes applied to an arrayed viral high-content screen
To enable arrayed or pooled loss-of-function screens in a wide range of mammalian cell
types, including primary and nondividing cells, we are develo** lentiviral short hairpin …
types, including primary and nondividing cells, we are develo** lentiviral short hairpin …
Large-scale map** and validation of Escherichia coli transcriptional regulation from a compendium of expression profiles
Machine learning approaches offer the potential to systematically identify transcriptional
regulatory interactions from a compendium of microarray expression profiles. However …
regulatory interactions from a compendium of microarray expression profiles. However …
Gene regulatory network inference from single-cell data using multivariate information measures
While single-cell gene expression experiments present new challenges for data processing,
the cell-to-cell variability observed also reveals statistical relationships that can be used by …
the cell-to-cell variability observed also reveals statistical relationships that can be used by …
Reverse engineering of regulatory networks in human B cells
Cellular phenotypes are determined by the differential activity of networks linking
coregulated genes. Available methods for the reverse engineering of such networks from …
coregulated genes. Available methods for the reverse engineering of such networks from …