scholarly article | Q13442814 |
P50 | author | Frank Emmert-Streib | Q55079196 |
P2093 | author name string | Matthias Dehmer | |
Ricardo de Matos Simoes | |||
P2860 | cites work | Large-scale mapping and validation of Escherichia coli transcriptional regulation from a compendium of expression profiles | Q21145898 |
Bioconductor: open software development for computational biology and bioinformatics | Q21194861 | ||
ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context | Q21284234 | ||
Improving yeast two-hybrid screening systems | Q22242948 | ||
Gene ontology: tool for the unification of biology | Q23781406 | ||
MPact: the MIPS protein interaction resource on yeast | Q24538008 | ||
BioGRID: a general repository for interaction datasets | Q24538650 | ||
DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions | Q24548456 | ||
RegulonDB version 7.0: transcriptional regulation of Escherichia coli K-12 integrated within genetic sensory response units (Gensor Units) | Q24612687 | ||
MPIDB: the microbial protein interaction database | Q42741431 | ||
Integrated network analysis platform for protein-protein interactions | Q43961965 | ||
Network biology: a direct approach to study biological function | Q44744988 | ||
Revealing differences in gene network inference algorithms on the network level by ensemble methods. | Q48207661 | ||
Localized network centrality and essentiality in the yeast-protein interaction network | Q48453179 | ||
Local network-based measures to assess the inferability of different regulatory networks. | Q51679486 | ||
Estimating mutual information using B-spline functions--an improved similarity measure for analysing gene expression data | Q24791286 | ||
Systematic survey reveals general applicability of "guilt-by-association" within gene coexpression networks | Q24817215 | ||
The UCSC Archaeal Genome Browser | Q25256865 | ||
Assortative Mixing in Networks | Q27349399 | ||
Network biology: understanding the cell's functional organization | Q27861027 | ||
Collective dynamics of 'small-world' networks | Q27861064 | ||
Transcriptional regulatory code of a eukaryotic genome | Q27933887 | ||
Specificity and stability in topology of protein networks | Q28216450 | ||
Quantitative mass spectrometry in proteomics: a critical review | Q28238800 | ||
Bagging statistical network inference from large-scale gene expression data | Q28482072 | ||
The IntAct molecular interaction database in 2010 | Q28749230 | ||
Interactome networks and human disease | Q29615773 | ||
GOstat: find statistically overrepresented Gene Ontologies within a group of genes | Q29618721 | ||
Reverse engineering of regulatory networks in human B cells | Q30004211 | ||
Relating whole-genome expression data with protein-protein interactions | Q30669147 | ||
A data integration methodology for systems biology | Q31020019 | ||
Improved scoring of functional groups from gene expression data by decorrelating GO graph structure | Q31036410 | ||
Comprehensive analysis of combinatorial regulation using the transcriptional regulatory network of yeast | Q33246201 | ||
Combinatorial gene regulation by eukaryotic transcription factors | Q33536606 | ||
Integrated cellular network of transcription regulations and protein-protein interactions | Q33538321 | ||
Inferring the conservative causal core of gene regulatory networks | Q33709649 | ||
Networks for systems biology: conceptual connection of data and function | Q33922215 | ||
ChIP-Seq: technical considerations for obtaining high-quality data | Q34024936 | ||
Network biology methods integrating biological data for translational science | Q34185002 | ||
Statistical inference and reverse engineering of gene regulatory networks from observational expression data | Q34191343 | ||
MINT, the molecular interaction database: 2012 update | Q34233947 | ||
Organizational structure and the periphery of the gene regulatory network in B-cell lymphoma | Q34268289 | ||
Many Microbe Microarrays Database: uniformly normalized Affymetrix compendia with structured experimental metadata | Q34700457 | ||
PINA v2.0: mining interactome modules. | Q35630696 | ||
ChIP-chip: considerations for the design, analysis, and application of genome-wide chromatin immunoprecipitation experiments | Q35676599 | ||
Gene regulatory network inference: evaluation and application to ovarian cancer allows the prioritization of drug targets | Q36424741 | ||
The transcriptional regulatory code of eukaryotic cells--insights from genome-wide analysis of chromatin organization and transcription factor binding | Q36463480 | ||
A unifying view of 21st century systems biology | Q37632840 | ||
Detection of regulatory circuits by integrating the cellular networks of protein-protein interactions and transcription regulation | Q39982102 | ||
Structural influence of gene networks on their inference: analysis of C3NET. | Q41771062 | ||
Structural measures for network biology using QuACN | Q42603845 | ||
P407 | language of work or name | English | Q1860 |
P921 | main subject | Escherichia coli | Q25419 |
P304 | page(s) | 324 | |
P577 | publication date | 2013-05-11 | |
P1433 | published in | BMC Genomics | Q15765854 |
P1476 | title | Interfacing cellular networks of S. cerevisiae and E. coli: connecting dynamic and genetic information | |
P478 | volume | 14 |
Q42792100 | B-cell lymphoma gene regulatory networks: biological consistency among inference methods. |
Q30709572 | Enhancing systems medicine beyond genotype data by dynamic patient signatures: having information and using it too |
Q34153290 | Functional and genetic analysis of the colon cancer network |
Q38264465 | Gene regulatory networks and their applications: understanding biological and medical problems in terms of networks |
Q58696532 | Harnessing the biological complexity of Big Data from LINCS gene expression signatures |
Q36310522 | Identification of marginal causal relationships in gene networks from observational and interventional expression data |
Q64110370 | Prostate Cancer Gene Regulatory Network Inferred from RNA-Seq Data |
Q35130411 | Protein complexes in bacteria. |
Q30943430 | Reverse Engineering of Genome-wide Gene Regulatory Networks from Gene Expression Data |
Q37541316 | The gene regulatory network for breast cancer: integrated regulatory landscape of cancer hallmarks |
Q38472582 | Untangling statistical and biological models to understand network inference: the need for a genomics network ontology |
Q35630898 | Urothelial cancer gene regulatory networks inferred from large-scale RNAseq, Bead and Oligo gene expression data |
Search more.