scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/bioinformatics/RajagopalanA05 |
P356 | DOI | 10.1093/BIOINFORMATICS/BTI069 |
P698 | PubMed publication ID | 15509611 |
P5875 | ResearchGate publication ID | 8206880 |
P50 | author | Pankaj Agarwal | Q30503200 |
P2093 | author name string | Dilip Rajagopalan | |
P433 | issue | 6 | |
P407 | language of work or name | English | Q1860 |
P304 | page(s) | 788-793 | |
P577 | publication date | 2004-10-27 | |
P1433 | published in | Bioinformatics | Q4914910 |
P1476 | title | Inferring pathways from gene lists using a literature-derived network of biological relationships | |
P478 | volume | 21 |
Q34051850 | A computable cellular stress network model for non-diseased pulmonary and cardiovascular tissue |
Q92289673 | A hybrid omnibus test for generalized semiparametric single-index models with high-dimensional covariate sets |
Q28681062 | A method for integrating and ranking the evidence for biochemical pathways by mining reactions from text |
Q34650878 | A model of acquired autoresistance to a potent ErbB2 tyrosine kinase inhibitor and a therapeutic strategy to prevent its onset in breast cancer |
Q33775510 | A scalable approach for discovering conserved active subnetworks across species |
Q33295455 | A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microarray experiments |
Q36329447 | Active module identification in intracellular networks using a memetic algorithm with a new binary decoding scheme |
Q34595978 | Active subnetwork recovery with a mechanism-dependent scoring function; with application to angiogenesis and organogenesis studies |
Q35860609 | An integer linear programming approach for finding deregulated subgraphs in regulatory networks. |
Q39148631 | Attachment-regulated signaling networks in the fibroblast-populated 3D collagen matrix |
Q37149352 | Bayesian semiparametric regression models for evaluating pathway effects on continuous and binary clinical outcomes |
Q92150025 | Benchmarking network algorithms for contextualizing genes of interest |
Q35110311 | COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method |
Q40112363 | Characterization of calcium oxalate crystal-induced changes in the secretome of U937 human monocytes |
Q37657960 | Constructing Networks of Organelle Functional Modules in Arabidopsis |
Q33792628 | Context-dependent transcriptional regulations between signal transduction pathways |
Q27486415 | Current Awareness on Comparative and Functional Genomics |
Q28475850 | DEGAS: de novo discovery of dysregulated pathways in human diseases |
Q33523628 | Detecting disease associated modules and prioritizing active genes based on high throughput data |
Q34569164 | Discovery and analysis of consistent active sub-networks in cancers |
Q34570294 | Drug target inference through pathway analysis of genomics data |
Q34549988 | Enhancing the utility of Proteomics Signature Profiling (PSP) with Pathway Derived Subnets (PDSs), performance analysis and specialised ontologies. |
Q51924135 | Gene expression network analysis and applications to immunology. |
Q35944843 | Genomic and proteomic determinants of lower extremity revascularization failure: rationale and study design |
Q42646303 | Identifying functional modules in protein-protein interaction networks: an integrated exact approach |
Q48291481 | Identifying functional modules using expression profiles and confidence-scored protein interactions |
Q36559266 | Identifying protein interaction subnetworks by a bagging Markov random field-based method. |
Q34317638 | Inference of responsive metabolic pathways from time-series transcriptomic data with consideration of the metabolic network structure |
Q31159122 | Integrating large-scale functional genomic data to dissect the complexity of yeast regulatory networks |
Q38119873 | Integrating pathways of Parkinson's disease in a molecular interaction map. |
Q26824897 | Integrative approaches for finding modular structure in biological networks |
Q38311118 | Label-free quantitative mass spectrometry reveals novel pathways involved in LL-37 expression. |
Q34791962 | Large-scale integrative network-based analysis identifies common pathways disrupted by copy number alterations across cancers |
Q37280361 | Literature mining in support of drug discovery |
Q45922530 | Marked changes in red cell membrane proteins in hereditary spherocytosis: a proteomics approach |
Q35088934 | ModuleBlast: identifying activated sub-networks within and across species |
Q36885022 | Molecular networks in microarray analysis |
Q47676365 | Network module identification-A widespread theoretical bias and best practices |
Q30657352 | Network-Based Interpretation of Genomic Variation Data |
Q30847234 | Network-based analysis of omics data: the LEAN method |
Q33329683 | New challenges for text mining: mapping between text and manually curated pathways |
Q44827793 | Pathway analysis using random forests classification and regression |
Q37183962 | Pathway and network-based analysis of genome-wide association studies in multiple sclerosis |
Q40174135 | Pathway discovery in metabolic networks by subgraph extraction |
Q33407992 | Pharmspresso: a text mining tool for extraction of pharmacogenomic concepts and relationships from full text |
Q33528207 | Predicting the protein-protein interactions using primary structures with predicted protein surface |
Q36668797 | Reverse engineering and analysis of large genome-scale gene networks |
Q40451360 | SPECTRA: An Integrated Knowledge Base for Comparing Tissue and Tumor-Specific PPI Networks in Human. |
Q38177646 | Spatiotemporal positioning of multipotent modules in diverse biological networks |
Q47221306 | Static network structure can be used to model the phenotypic effects of perturbations in regulatory networks |
Q37149296 | Statistical properties on semiparametric regression for evaluating pathway effects |
Q28756691 | The role of positive selection in determining the molecular cause of species differences in disease |
Q37809016 | Use of pathway information in molecular epidemiology |
Q35229964 | WMAXC: a weighted maximum clique method for identifying condition-specific sub-network |
Q35825427 | iTRAQ protein profile analysis of neuroblastoma (NA) cells infected with the rabies viruses rHep-Flury and Hep-dG. |
Search more.