[PDF] Top 20 Network compression as a quality measure for protein interaction networks.
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Network compression as a quality measure for protein interaction networks.
... to measure the combinatorial complexity of a network [36] and Jukna et ...of network entropy based on topology configuration was used to segregate random network models ...of protein ... See full document
22
Specificity and evolvability in eukaryotic protein interaction networks.
... partial protein interaction maps for several eukary- otic species have now been published [1–9], and several studies have tried to analyse the structure and evolution of such networks on a ... See full document
10
A computational method based on the integration of heterogeneous networks for predicting disease-gene associations.
... which protein-protein interaction data have been exploited to identify disease-causing genes, based on the observation that genes implicated in a specific or similar diseases tend to be located in a ... See full document
10
Fault tolerance in protein interaction networks: stable bipartite subgraphs and redundant pathways.
... Ideker network G in the context of those generated from the more recent BioGRID dataset ...Ideker network was constructed should tend to appear between genes in different partitions of the BPMs generated ... See full document
11
Still stratus not altocumulus: further evidence against the date/party hub distinction.
... entropy, network fragmentation, and genetic connectivity ...dence interaction datasets [2], we found we could not support any of the fi ve points of ... See full document
9
Exploring hierarchical and overlapping modular structure in the yeast protein interaction network
... Conference on Bioinformatics (InCoB2010): Bioinformatics and Immunome Research Volume 6 Supplement 1, 2010: Ninth International Conference on. Bioinformatics (InCoB2010): Immunome Res[r] ... See full document
1
Determination of Reliability Index and Weibull Modulus as a Measure of Hypereutectic Silumins Survival
... Cast alloys used for high-duty parts operating in automotive industry and aviation should, besides excellent mechanical properties, offer also stable and failure-free performance. A good measure of the reliability ... See full document
4
Mutational robustness of gene regulatory networks.
... regulatory networks, systems of ordinary differential equations (ODEs) were used, which describe TF-TF dimerization and TF-target gene regulation (via Hill ...upon network rewiring, for each network, ... See full document
9
Identification of significant pathways in gastric cancer based on protein-protein interaction networks and cluster analysis
... mal persons (Offerhaus et al., 1992). b-catenin is fre- quently mutated in gastric cancer (Clements et al., 2002). In addition, frizzled receptor E3 (FzE3) is over-expressed in 75% of gastric carcinoma tissues and ... See full document
202
Identification of colorectal cancer related genes with mRMR and shortest path in protein-protein interaction network.
... The following three cross-validation methods are often used in statistics for validating a statistical prediction method: independent dataset test, subsampling test, and jackknife test [36]. However, among the three ... See full document
12
A network-based gene expression signature informs prognosis and treatment for colorectal cancer patients.
... a protein-protein interaction network ...a protein-protein interaction ...a network-based approach to integrate these signatures on the ... See full document
13
Predicting Pharmacodynamic Drug-Drug Interactions through Signaling Propagation Interference on Protein-Protein Interaction Networks.
... another protein within the same pathways [7, ...human protein interaction networks, Human Protein Reference Database (HPRD) (9,117 proteins and 36,248 interactions), Interologous ... See full document
13
Quality control of CarboEurope flux data – Part 1: Coupling footprint analyses with flux data quality assessment to evaluate sites in forest ecosystems
... data quality map for the latent heat flux during stable stratifica- tion at Sodankyl¨a (FI-Sod), where a METEK USA1 sonic anemometer is ...ification quality maps for all fluxes were structured into 3 ... See full document
18
Exploring overlapping functional units with various structure in protein interaction networks.
... in protein-protein interaction (PPI) networks are important for understanding cellular functional ...cohesive protein complexes which have more internal interactions than external ...a ... See full document
11
CNNcon: improved protein contact maps prediction using cascaded neural networks.
... three-dimensional protein structures, the number of unsolved and newly discovered sequences grows much faster than that of determined ...structures. Protein modeling methods can possibly bridge this huge ... See full document
7
Identification of unstable network modules reveals disease modules associated with the progression of Alzheimer's disease.
... is reported to stabilize microtubules [44]. As we mentioned above, tau protein is associated with the stabilization of microtubules but they cannot work by aberrant phosphorylation in AD. These findings suggest ... See full document
16
Toward a systems-level understanding of gene regulatory, protein interaction, and metabolic networks in cyanobacteria
... these networks, and at the same time to provide a tool for biologists to model their results, a user friendly-interface with a Synechocystis-specific section was added to web-based FAME resource (http://f-a-m-e ... See full document
18
Interface-resolved network of protein-protein interactions.
... interface-interaction network (IIN) to capture the specificity and competition between protein-protein interactions ...of network represents interactions between individual interfaces ... See full document
14
Unraveling spurious properties of interaction networks with tailored random networks.
... of networks with predefined degree sequence (see, ...random networks (second ...random networks, we observed (in our simulation studies) dependencies between properties of networks and ... See full document
13
Maximal extraction of biological information from genetic interaction data.
... deriving networks automatically based on maximal set complexity we were able to both recover previous insights and discover new biological ...MMS-growth network (Table ...the network derived from ... See full document
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