| scholarly article | Q13442814 |
| review article | Q7318358 |
| P50 | author | Hans Westerhoff | Q15989741 |
| Frank J Bruggeman | Q88504493 | ||
| P2093 | author name string | Jan Lankelma | |
| Jorrit J Hornberg | |||
| P433 | issue | 2-3 | |
| P921 | main subject | systems biology | Q815297 |
| P304 | page(s) | 81-90 | |
| P577 | publication date | 2006-01-19 | |
| P1433 | published in | BioSystems | Q2025895 |
| P1476 | title | Cancer: a Systems Biology disease | |
| P478 | volume | 83 |
| Q33830172 | A Boolean-based systems biology approach to predict novel genes associated with cancer: Application to colorectal cancer. |
| Q36691611 | A Role for the PPARgamma in Cancer Therapy. |
| Q38604295 | A Systems Biology Approach to Understanding Alcoholic Liver Disease Molecular Mechanism: The Development of Static and Dynamic Models |
| Q28472278 | A hidden feedback in signaling cascades is revealed |
| Q59323040 | A multi-compartment pharmacokinetic model of the interaction between paclitaxel and doxorubicin |
| Q28543628 | A novel mathematical model describing adaptive cellular drug metabolism and toxicity in the chemoimmune system |
| Q37812550 | A passage through systems biology to systems medicine: adoption of middle-out rational approaches towards the understanding of therapeutic outcomes in cancer |
| Q30572345 | A signal transduction score flow algorithm for cyclic cellular pathway analysis, which combines transcriptome and ChIP-seq data. |
| Q33503444 | A systems biology framework for modeling metabolic enzyme inhibition of Mycobacterium tuberculosis |
| Q37434945 | A systems biology view of cancer |
| Q39682144 | Aberrant gene expression in mucosa adjacent to tumor reveals a molecular crosstalk in colon cancer |
| Q33861540 | Addressing current challenges in cancer immunotherapy with mathematical and computational modelling. |
| Q37153541 | Advancing cancer systems biology: introducing the Center for the Development of a Virtual Tumor, CViT. |
| Q37364456 | An overview of hepatocellular carcinoma study by omics-based methods |
| Q34778702 | Analysis and prediction of pathways in HeLa cells by integrating biological levels of organization with systems-biology approaches |
| Q90672461 | Analysis of Differential Expression of microRNAs and Their Target Genes in Prostate Cancer: A Bioinformatics Study on Microarray Gene Expression Data |
| Q30993390 | Applying NGS Data to Find Evolutionary Network Biomarkers from the Early and Late Stages of Hepatocellular Carcinoma |
| Q37358420 | Approaches to biomarkers in human colorectal cancer: looking back, to go forward |
| Q51188239 | BPGAP1 spatially integrates JNK/ERK signaling crosstalk in oncogenesis. |
| Q35999359 | Bridging the gap between in vitro and in vivo: Dose and schedule predictions for the ATR inhibitor AZD6738 |
| Q37153533 | Cancer as a system failure |
| Q36228895 | Cancer cell growth and survival as a system-level property sustained by enhanced glycolysis and mitochondrial metabolic remodeling |
| Q24650086 | Cancer systems biology: a network modeling perspective |
| Q36396552 | CancerNet: a database for decoding multilevel molecular interactions across diverse cancer types |
| Q33289133 | Characterization of protein-interaction networks in tumors |
| Q33414660 | Comparisons of robustness and sensitivity between cancer and normal cells by microarray data |
| Q34778053 | Constructing higher-order miRNA-mRNA interaction networks in prostate cancer via hypergraph-based learning |
| Q33347888 | Construction of a cancer-perturbed protein-protein interaction network for discovery of apoptosis drug targets |
| Q59214612 | Contribution of oncoproteomics to cancer biomarker discovery |
| Q64899662 | Conventionally used reference genes are not outstanding for normalization of gene expression in human cancer research. |
| Q36655213 | Cytomics - importance of multimodal analysis of cell function and proliferation in oncology |
| Q34396793 | Detecting microRNAs of high influence on protein functional interaction networks: a prostate cancer case study |
| Q33510476 | Developing optimal input design strategies in cancer systems biology with applications to microfluidic device engineering |
| Q35575235 | Dietary agent, benzyl isothiocyanate inhibits signal transducer and activator of transcription 3 phosphorylation and collaborates with sulforaphane in the growth suppression of PANC-1 cancer cells |
| Q51508215 | Direct ultrasensitive electrical detection of prostate cancer biomarkers with CMOS-compatible n- and p-type silicon nanowire sensor arrays. |
| Q33983054 | Do DNA microarrays tell the story of gene expression? |
| Q33687130 | Docking Small Molecules to Predicted Off-Targets of the Cancer Drug Erlotinib Leads to Inhibitors of Lung Cancer Cell Proliferation with Suitable In vitro Pharmacokinetic Properties |
| Q35840713 | Dupuytren's: a systems biology disease |
| Q37889673 | Dynamic modeling and analysis of cancer cellular network motifs |
| Q34192940 | Dynamic modelling of oestrogen signalling and cell fate in breast cancer cells |
| Q36670951 | Dynamics of biological systems: role of systems biology in medical research |
| Q34389624 | Dysfunctions associated with methylation, microRNA expression and gene expression in lung cancer |
| Q38026339 | Endosomal crosstalk: meeting points for signaling pathways. |
| Q90066588 | Estrogen receptors promote NSCLC progression by modulating the membrane receptor signaling network: a systems biology perspective |
| Q36327195 | Evolvable signaling networks of receptor tyrosine kinases: relevance of robustness to malignancy and to cancer therapy |
| Q46219922 | Expression of estrogen receptor co-regulators NCoR and PELP1 in epithelial cells and myofibroblasts of colorectal carcinomas: cytoplasmic translocation of NCoR in epithelial cells correlates with better [corrected] prognosis. |
| Q38389338 | Extracting biomarkers of commitment to cancer development: potential role of vibrational spectroscopy in systems biology |
| Q34351520 | Finding minimum gene subsets with heuristic breadth-first search algorithm for robust tumor classification |
| Q39514465 | First-in-Human Phase 1 Trial of Agarose Beads Containing Murine RENCA Cells in Advanced Solid Tumors |
| Q42851009 | Fractal analysis in a systems biology approach to cancer. |
| Q28539182 | Functional Module Connectivity Map (FMCM): a framework for searching repurposed drug compounds for systems treatment of cancer and an application to colorectal adenocarcinoma |
| Q41976129 | Gene network dynamics controlling keratinocyte migration |
| Q36844700 | Getting it right: designing microarray (and not 'microawry') comparative genomic hybridization studies for cancer research |
| Q36642201 | Global consensus theorem and self-organized criticality: unifying principles for understanding self-organization, swarm intelligence and mechanisms of carcinogenesis |
| Q37859450 | Health technology assessment in the era of personalized health care |
| Q46061700 | Hemangioblastomas might derive from neoplastic transformation of neural stem cells/progenitors in the specific niche |
| Q38089151 | How to design multi-target drugs. |
| Q36630265 | Identification of common tumor signatures based on gene set enrichment analysis. |
| Q30481528 | Immunohistochemical analysis of changes in signaling pathway activation downstream of growth factor receptors in pancreatic duct cell carcinogenesis |
| Q35540740 | In silico cancer modeling: is it ready for prime time? |
| Q34173600 | In silico labeling reveals the time-dependent label half-life and transit-time in dynamical systems. |
| Q33645935 | Increased entropy of signal transduction in the cancer metastasis phenotype |
| Q33834457 | Inference of cancer-specific gene regulatory networks using soft computing rules |
| Q34379501 | Integrated exon level expression analysis of driver genes explain their role in colorectal cancer |
| Q38471219 | Integrating GO and KEGG terms to characterize and predict acute myeloid leukemia-related genes |
| Q28744621 | Integrative computational biology for cancer research |
| Q38177390 | Integrative radiation systems biology. |
| Q33689135 | Interacting partners of FEN1 and its role in the development of anticancer therapeutics |
| Q38891078 | Intracellular and intercellular signaling networks in cancer initiation, development and precision anti-cancer therapy: RAS acts as contextual signaling hub. |
| Q28388335 | Iron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseases |
| Q28482688 | Linking proteins to signaling pathways for experiment design and evaluation |
| Q33427643 | Local and global modes of drug action in biochemical networks |
| Q41204513 | Machine Learning-Assisted Network Inference Approach to Identify a New Class of Genes that Coordinate the Functionality of Cancer Networks |
| Q38233988 | Mathematical modeling for novel cancer drug discovery and development |
| Q46758728 | Mathematical modelling of miRNA mediated BCR.ABL protein regulation in chronic myeloid leukaemia vis-a-vis therapeutic strategies |
| Q39727752 | Mechanistic modeling to investigate signaling by oncogenic Ras mutants |
| Q34068127 | Metabolic sensing by p53: keeping the balance between life and death |
| Q41620868 | MicroRNA Response Elements-Mediated miRNA-miRNA Interactions in Prostate Cancer |
| Q38185868 | Microfluidic single-cell analysis for systems immunology |
| Q36929888 | Modeling cancer: integration of "omics" information in dynamic systems |
| Q28483742 | Modeling phenotypic metabolic adaptations of Mycobacterium tuberculosis H37Rv under hypoxia |
| Q51928847 | Models for the study of whole systems. |
| Q37663707 | Molecular networks for the study of TCM pharmacology. |
| Q36061531 | Molecular signaling network complexity is correlated with cancer patient survivability |
| Q37109573 | Mutanome and expression of immune response genes in microsatellite stable colon cancer |
| Q37058812 | Nanovehicular intracellular delivery systems |
| Q41875074 | Negative interactions and feedback regulations are required for transient cellular response |
| Q33767131 | Neighbours of cancer-related proteins have key influence on pathogenesis and could increase the drug target space for anticancer therapies |
| Q61804450 | Neural plasticity and adult neurogenesis: the deep biology perspective |
| Q64884625 | Neutral metalloaminopeptidases APN and MetAP2 as newly discovered anticancer molecular targets of actinomycin D and its simple analogs. |
| Q39010533 | Next generation of network medicine: interdisciplinary signaling approaches |
| Q37799685 | Novel molecular events in oral carcinogenesis via integrative approaches |
| Q37369590 | On the role of cell signaling models in cancer research |
| Q57393849 | Oncogenes Are to Lose Control on Signaling Following Mutation: Should We Aim Off Target? |
| Q90070950 | Optimization of Cancer Treatment in the Frequency Domain |
| Q90317181 | Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning |
| Q34938911 | Personalizing health care: feasibility and future implications |
| Q43142778 | Personalizing medicine: a systems biology perspective |
| Q30443756 | Perspective: Flicking with flow: Can microfluidics revolutionize the cancer research? |
| Q37568560 | Precision medicine and molecular imaging: new targeted approaches toward cancer therapeutic and diagnosis |
| Q58034049 | Predictable Irreversible Switching Between Acute and Chronic Inflammation |
| Q37127244 | Prediction and analysis of retinoblastoma related genes through gene ontology and KEGG. |
| Q33686676 | Prediction of a gene regulatory network linked to prostate cancer from gene expression, microRNA and clinical data |
| Q26995360 | Profiling invasiveness in head and neck cancer: recent contributions of genomic and transcriptomic approaches |
| Q37791993 | Protein-protein interaction networks and subnetworks in the biology of disease |
| Q26766345 | Radiation Metabolomics: Current Status and Future Directions |
| Q53482041 | Randomized clinical control study of locoregional therapy combined with arsenic trioxide for the treatment of hepatocellular carcinoma. |
| Q26777344 | Regulation of Spatiotemporal Patterns by Biological Variability: General Principles and Applications to Dictyostelium discoideum |
| Q38077440 | Safety and feasibility of targeted agent combinations in solid tumours |
| Q33357070 | Single cell cytometry of protein function in RNAi treated cells and in native populations |
| Q37687428 | Stable isotope labeling of phosphoproteins for large-scale phosphorylation rate determination |
| Q36096866 | State of the art in silico tools for the study of signaling pathways in cancer |
| Q28534771 | Structural and logical analysis of a comprehensive hedgehog signaling pathway to identify alternative drug targets for glioma, colon and pancreatic cancer |
| Q27008867 | Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review |
| Q36333298 | System-wide assembly of pathways and modules hierarchically reveal metabolic mechanism of cerebral ischemia |
| Q37321872 | Systems biology and cancer prevention: all options on the table |
| Q37010408 | Systems biology and cancer stem cells |
| Q33281131 | Systems biology by the rules: hybrid intelligent systems for pathway modeling and discovery |
| Q38035735 | Systems biology for molecular life sciences and its impact in biomedicine |
| Q38443214 | Systems biology, emergence and antireductionism |
| Q34571547 | Systems biology: the next frontier for bioinformatics |
| Q24288895 | Systems medicine: the future of medical genomics and healthcare |
| Q34423466 | Systems pathology |
| Q38152375 | Systems-based understanding of pharmacological responses with combinations of multidisciplinary methodologies |
| Q36112218 | Systems-level effects of ectopic galectin-7 reconstitution in cervical cancer and its microenvironment |
| Q33511365 | TIde: a software for the systematic scanning of drug targets in kinetic network models |
| Q36919983 | Targeting the human cancer pathway protein interaction network by structural genomics |
| Q38104340 | Tetracycline regulated systems in functional oncogenomics |
| Q47298303 | The Ability of Different Imputation Methods to Preserve the Significant Genes and Pathways in Cancer |
| Q41971759 | The Peculiar Glycolytic Pathway in Hyperthermophylic Archaea: Understanding Its Whims by Experimentation In Silico. |
| Q58101390 | The anticancer mechanism investigation of Tanshinone II by pharmacological clustering in protein network |
| Q33436471 | The apoptotic machinery as a biological complex system: analysis of its omics and evolution, identification of candidate genes for fourteen major types of cancer, and experimental validation in CML and neuroblastoma |
| Q52363678 | The crucial role of multiomic approach in cancer research and clinically relevant outcomes. |
| Q37977413 | Tools for protein-protein interaction network analysis in cancer research. |
| Q26798003 | Towards a systems view of IBS |
| Q35130693 | Transcriptional override: a regulatory network model of indirect responses to modulations in microRNA expression |
| Q55513254 | Translational Bioinformatics for Cholangiocarcinoma: Opportunities and Challenges. |
| Q37213623 | Tumor-microenvironment interactions: dangerous liaisons |
| Q42321526 | Understanding Dupuytren's Disease Using Systems Biology: A Move Away from Reductionism |
| Q38039079 | Understanding complexity in neurodegenerative diseases: in silico reconstruction of emergence |
| Q51532050 | Use of mathematical models to understand anticancer drug delivery and its effect on solid tumors. |
| Q38165247 | c-MET kinase inhibitors: a patent review (2011 - 2013). |
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