Pages that link to "Q21284254"
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The following pages link to Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks (Q21284254):
Displaying 50 items.
- FABIA: factor analysis for bicluster acquisition (Q24599474) (← links)
- Wisdom of crowds for robust gene network inference (Q24604615) (← links)
- Size matters: network inference tackles the genome scale (Q24678490) (← links)
- Integrative approaches for finding modular structure in biological networks (Q26824897) (← links)
- Reverse enGENEering of Regulatory Networks from Big Data: A Roadmap for Biologists (Q28083193) (← links)
- Biclique communities (Q28485852) (← links)
- Transcriptional program for nitrogen starvation-induced lipid accumulation in Chlamydomonas reinhardtii (Q28606795) (← links)
- Macromolecular networks and intelligence in microorganisms (Q28655461) (← links)
- The role of predictive modelling in rationally re-engineering biological systems (Q28751801) (← links)
- Systems biology of innate immunity (Q28752485) (← links)
- Network deconvolution as a general method to distinguish direct dependencies in networks (Q30352074) (← links)
- Inference of gene regulatory networks from genome-wide knockout fitness data (Q30583445) (← links)
- Molecular mechanisms of system responses to novel stimuli are predictable from public data (Q30688142) (← links)
- Revealing molecular mechanisms by integrating high-dimensional functional screens with protein interaction data (Q30847567) (← links)
- Classification and biomarker identification using gene network modules and support vector machines (Q30875967) (← links)
- Systems biology definition of the core proteome of metabolism and expression is consistent with high-throughput data. (Q30986341) (← links)
- A graph theoretical approach to data fusion (Q31060656) (← links)
- Identifying candidate drivers of drug response in heterogeneous cancer by mining high throughput genomics data (Q31121773) (← links)
- Reconstructing directed gene regulatory network by only gene expression data (Q31123319) (← links)
- ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa Gene Expression Data with Denoising Autoencoders Illuminates Microbe-Host Interactions (Q31141362) (← links)
- A visual data mining tool that facilitates reconstruction of transcription regulatory networks (Q31148715) (← links)
- Discovering biclusters in gene expression data based on high-dimensional linear geometries (Q31153461) (← links)
- Computational promoter analysis of mouse, rat and human antimicrobial peptide-coding genes (Q33270387) (← links)
- Evolution of rhodopsin ion pumps in haloarchaea. (Q33285063) (← links)
- EDISA: extracting biclusters from multiple time-series of gene expression profiles (Q33298681) (← links)
- Transcription factor target prediction using multiple short expression time series from Arabidopsis thaliana (Q33306156) (← links)
- Eigengene networks for studying the relationships between co-expression modules (Q33306760) (← links)
- Extracting expression modules from perturbational gene expression compendia (Q33327570) (← links)
- Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies (Q33379705) (← links)
- DISTILLER: a data integration framework to reveal condition dependency of complex regulons in Escherichia coli (Q33415393) (← links)
- QUBIC: a qualitative biclustering algorithm for analyses of gene expression data (Q33464828) (← links)
- Detailing regulatory networks through large scale data integration (Q33510307) (← links)
- Reconstructing transcriptional regulatory networks through genomics data (Q33521831) (← links)
- Network inference and network response identification: moving genome-scale data to the next level of biological discovery (Q33533378) (← links)
- A semi-parametric Bayesian model for unsupervised differential co-expression analysis (Q33575180) (← links)
- On the performance of de novo pathway enrichment. (Q33731252) (← links)
- DREAM4: Combining genetic and dynamic information to identify biological networks and dynamical models (Q33737739) (← links)
- Combining inferred regulatory and reconstructed metabolic networks enhances phenotype prediction in yeast (Q33752043) (← links)
- A systems biology model of the regulatory network in Populus leaves reveals interacting regulators and conserved regulation (Q33792571) (← links)
- Rediscovery of the microbial world in microbial ecology (Q33806713) (← links)
- Simple Shared Motifs (SSM) in conserved region of promoters: a new approach to identify co-regulation patterns. (Q34017089) (← links)
- Network portal: a database for storage, analysis and visualization of biological networks. (Q34039090) (← links)
- Coordination of frontline defense mechanisms under severe oxidative stress (Q34078895) (← links)
- Detecting genomic regions associated with a disease using variability functions and Adjusted Rand Index (Q34094091) (← links)
- Advantages and limitations of current network inference methods (Q34135038) (← links)
- Extracting regulatory modules from gene expression data by sequential pattern mining (Q34173574) (← links)
- Inference of the transcriptional regulatory network in Staphylococcus aureus by integration of experimental and genomics-based evidence (Q34181401) (← links)
- Multi-species integrative biclustering (Q34247616) (← links)
- Analysis of regulatory network involved in mechanical induction of embryonic stem cell differentiation (Q34256645) (← links)
- A high-resolution network model for global gene regulation in Mycobacterium tuberculosis (Q34312961) (← links)