about
Interactomic and pharmacological insights on human sirt-1Category theoretic analysis of hierarchical protein materials and social networksConstruction and analysis of protein-protein interaction networksComputerized techniques pave the way for drug-drug interaction prediction and interpretationRegulation of Spatiotemporal Patterns by Biological Variability: General Principles and Applications to Dictyostelium discoideumNetwork-based approaches in drug discovery and early developmentUsing biological networks to improve our understanding of infectious diseasesSpeed-Dependent Modulation of the Locomotor Behavior in Adult Mice Reveals Attractor and Transitional GaitsA large scale analysis of information-theoretic network complexity measures using chemical structuresNew polynomial-based molecular descriptors with low degeneracyCrowd sourcing a new paradigm for interactome driven drug target identification in Mycobacterium tuberculosisReview and application of group theory to molecular systems biologyConnections between classical and parametric network entropiesFailure tolerance of motif structure in biological networks.Identifying interactions in the time and frequency domains in local and global networks - A Granger Causality ApproachGraph-based clustering and characterization of repetitive sequences in next-generation sequencing data.Parametric Anatomical Modeling: a method for modeling the anatomical layout of neurons and their projectionsPrediction of Growth Factor-Dependent Cleft Formation During Branching Morphogenesis Using A Dynamic Graph-Based Growth Model.A bioinformatics expert system linking functional data to anatomical outcomes in limb regenerationEntropy bounds for hierarchical molecular networks.Recent advances in clustering methods for protein interaction networksPrior knowledge based mining functional modules from Yeast PPI networks with gene ontology.On the architecture of cell regulation networks.Design of a flexible component gathering algorithm for converting cell-based models to graph representations for use in evolutionary search.The 'Tyranny of choices' in the ingestion-controlling network.Generation and Analysis of Large-Scale Data-Driven Mycobacterium tuberculosis Functional Networks for Drug Target IdentificationThe brain as a complex system: using network science as a tool for understanding the brain.Making the right connections: biological networks in the light of evolutionChallenges in Biomarker Discovery: Combining Expert Insights with Statistical Analysis of Complex Omics Data.TNA4OptFlux--a software tool for the analysis of strain optimization strategies.Constructing higher-order miRNA-mRNA interaction networks in prostate cancer via hypergraph-based learning.Extracting tag hierarchies.Stabilization of perturbed Boolean network attractors through compensatory interactions.Hierarchical feedback modules and reaction hubs in cell signaling networks.Molecular signaling network complexity is correlated with cancer patient survivabilityFunction prediction and analysis of mycobacterium tuberculosis hypothetical proteins.Diffusion in Colocation Contact Networks: The Impact of Nodal Spatiotemporal DynamicsFrom protein-protein interactions to protein co-expression networks: a new perspective to evaluate large-scale proteomic data.Linkage disequilibrium network analysis (LDna) gives a global view of chromosomal inversions, local adaptation and geographic structure.Towards a bioinformatics of patterning: a computational approach to understanding regulative morphogenesis
P2860
Q21129288-9AB32B1A-719D-4F7A-A19F-8999DA94ABA6Q21135250-1346CDDC-EF11-4D97-98BE-33BD3F161CA4Q24632014-5CA98FD7-B04D-4A77-AD12-3EA560BB0B4EQ26741470-E6C23C46-AFD0-4427-ABBF-E585EC0DEF15Q26777344-A5B7F0AF-5E3B-4923-845D-9A44B22F6E83Q26827940-D77319CB-74B9-4AFF-A2C4-A351FCE0AB87Q27005781-E5C3C03E-C5B1-4481-8484-DDF6C80FD332Q27313443-5BE9E091-5161-49BB-8BD6-45ECE040339FQ28472233-77FD7637-297E-40B2-A8A1-04A7D4E89587Q28475000-105F24C9-B172-42F4-AAF9-01F1D46FB4DAQ28481300-BE04B037-03F0-4B92-99D0-CAB309AE2A1EQ28741852-914784BE-AB48-47CC-969A-BBED120BE4C5Q28743687-84BB5B20-6CC4-41C8-A346-7112045F7C3EQ30403407-979E5C7C-1EF9-492E-B920-A541508E4D3FQ30495307-9EAD1F18-1E11-430A-8018-E65687BFDEE8Q30495793-9F3D7AEE-9875-4CEB-B078-7D1507067924Q30586968-D771F8AD-6C7F-403F-B02F-03E805BB9DE5Q30775431-1CA9B9A4-DA0C-4112-8B1F-7A41F5764664Q30902179-02AC3DAC-091F-4F62-B28A-D4E92DB16B16Q33366434-1F4DC757-F888-4135-AD26-D78931F3886BQ33766571-395BDF2D-BF8E-4350-BFAA-3F1A7FC867EFQ33776327-1443AEE9-E849-4074-9B3E-2BA0086EA32CQ33833202-F03E66DD-BFE4-43A5-AAB8-567A3D5B649FQ33851426-3B2C9204-B1DF-46DC-9397-4142FD23FE4AQ33885428-9DF910B3-B64F-4BB5-9883-DB72DCC426E7Q34108424-517CDBE2-234F-46D1-A6FA-1E96BB13D653Q34203111-09966568-FAE3-4C14-B06F-4F172A571016Q34233855-0CB8DAFD-9C0B-40AA-970A-EBE59F584383Q34555631-E2B458E2-2C49-411A-934C-DAB43587253CQ34704696-E8D24F10-9E97-4E8E-A78E-79306B79A651Q34778053-18AC9F2E-28A7-4DC3-8AA2-07C89A8B658FQ35082841-640BFCFB-457D-48F9-BD30-4482C489DA88Q35178902-B4D0CBC2-DA62-47D1-95BB-D950CA5A1715Q35624419-0F9EB631-7E32-497E-9355-2D4A5D7E2BA5Q36061531-B17337BA-70CF-4249-B7E1-D4ED6E065AE6Q36096977-D8D37296-0471-446D-B78B-EBFF7F74DA4BQ36097581-D086046A-3DC7-4295-A5EE-2AFC1EE859BCQ36364750-C28498A0-4771-4082-99B2-65F9EDF5EB94Q36377304-7FBA1362-FD7C-4B2F-803A-3BCDB24182C9Q36619289-6B9858F6-AF0D-4DE3-AAA6-91C538CF78A5
P2860
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Graph theory and networks in Biology.
@ast
Graph theory and networks in Biology.
@en
type
label
Graph theory and networks in Biology.
@ast
Graph theory and networks in Biology.
@en
prefLabel
Graph theory and networks in Biology.
@ast
Graph theory and networks in Biology.
@en
P356
P1433
P1476
Graph theory and networks in Biology
@en
P2093
M Verwoerd
P304
P356
10.1049/IET-SYB:20060038
P50
P577
2007-03-01T00:00:00Z
P5875
P698
P818
q-bio/0604006