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BMC Systems Biology
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1 A quantitative approach to study indirect effects among disease proteins in the human protein interaction network.
2 Parameter inference for discretely observed stochastic kinetic models using stochastic gradient descent.
3 A plausible mechanism for auxin patterning along the developing root.
4 Inferring modules from human protein interactome classes.
5 Continuous-time modeling of cell fate determination in Arabidopsis flowers.
6 The function of communities in protein interaction networks at multiple scales.
7 Evaluating diabetes and hypertension disease causality using mouse phenotypes.
8 Identifying potential survival strategies of HIV-1 through virus-host protein interaction networks.
9 Predicting functional associations from metabolism using bipartite network algorithms.
10 Stress-specific response of the p53-Mdm2 feedback loop.
11 The role of noise and positive feedback in the onset of autosomal dominant diseases.
12 BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models.
13 Functional network of glycan-related molecules: Glyco-Net in Glycoconjugate Data Bank.
14 microRNA evolution in a human transcription factor and microRNA regulatory network.
15 Fathead minnow steroidogenesis: in silico analyses reveals tradeoffs between nominal target efficacy and robustness to cross-talk.
16 Robustness from flexibility in the fungal circadian clock.
17 The spermatozoa caught in the net: the biological networks to study the male gametes post-ejaculatory life.
18 Comparative analysis of cis-regulation following stroke and seizures in subspaces of conserved eigensystems.
19 Hematopoietic differentiation: a coordinated dynamical process towards attractor stable states.
20 Protein interaction network topology uncovers melanogenesis regulatory network components within functional genomics datasets.
 
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