| scholarly article | Q13442814 |
| review article | Q7318358 |
| P50 | author | Stuart Kauffman | Q516009 |
| P2093 | author name string | Sui Huang | |
| Ingemar Ernberg | |||
| P2860 | cites work | The Hallmarks of Cancer | Q221226 |
| A gene atlas of the mouse and human protein-encoding transcriptomes | Q24568043 | ||
| Core signaling pathways in human pancreatic cancers revealed by global genomic analyses | Q24606006 | ||
| Nature, nurture, or chance: stochastic gene expression and its consequences | Q24610764 | ||
| DNA sequencing of a cytogenetically normal acute myeloid leukaemia genome | Q24644436 | ||
| Somatic mutations affect key pathways in lung adenocarcinoma | Q24648102 | ||
| An integrated genomic analysis of human glioblastoma multiforme | Q24648860 | ||
| ITTACA: a new database for integrated tumor transcriptome array and clinical data analysis | Q25257652 | ||
| Gene expression profiling predicts clinical outcome of breast cancer | Q27860732 | ||
| The consensus coding sequences of human breast and colorectal cancers | Q27861035 | ||
| Molecular classification of cancer: class discovery and class prediction by gene expression monitoring | Q27861072 | ||
| The genomic landscapes of human breast and colorectal cancers | Q27861078 | ||
| Transitions between epithelial and mesenchymal states: acquisition of malignant and stem cell traits | Q28237197 | ||
| The spandrels of San Marco and the Panglossian paradigm: a critique of the adaptationist programme | Q28237797 | ||
| ONCOMINE: a cancer microarray database and integrated data-mining platform | Q28255103 | ||
| Metabolic stability and epigenesis in randomly constructed genetic nets | Q28256189 | ||
| Error and attack tolerance of complex networks | Q29547268 | ||
| Patterns of somatic mutation in human cancer genomes | Q29547841 | ||
| Mutation selection and the natural history of cancer | Q29614279 | ||
| An embryonic stem cell-like gene expression signature in poorly differentiated aggressive human tumors | Q29615393 | ||
| Principles of cancer therapy: oncogene and non-oncogene addiction | Q29616779 | ||
| The epigenetic progenitor origin of human cancer | Q29617486 | ||
| Bifurcation dynamics in lineage-commitment in bipotent progenitor cells | Q40148843 | ||
| The nature of cancer: morphogenesis and progressive (self)-disorganization in neoplastic development and progression | Q40598547 | ||
| Cellular differentiation, cytidine analogs and DNA methylation | Q42242732 | ||
| Homeostasis and Differentiation in Random Genetic Control Networks | Q44840305 | ||
| Inducible FGFR-1 activation leads to irreversible prostate adenocarcinoma and an epithelial-to-mesenchymal transition | Q45345159 | ||
| Parallel progression of primary tumours and metastases | Q45831582 | ||
| Non-genetic heterogeneity--a mutation-independent driving force for the somatic evolution of tumours. | Q53311592 | ||
| Formal discussion of: somatic mutations and carcinogenesis. | Q53612115 | ||
| Rethinking the origin of species by natural selection | Q73677892 | ||
| Cell fates as high-dimensional attractor states of a complex gene regulatory network | Q81763775 | ||
| Delineation of prognostic biomarkers in prostate cancer | Q29617971 | ||
| The microenvironment of the tumour-host interface | Q29620375 | ||
| A progression puzzle | Q33337505 | ||
| An odyssey from breast to bone: multi-step control of mammary metastases and osteolysis by matrix metalloproteinases | Q33586496 | ||
| Assessment of tumor characteristic gene expression in cell lines using a tissue similarity index (TSI). | Q33836361 | ||
| The potential landscape of genetic circuits imposes the arrow of time in stem cell differentiation | Q33954353 | ||
| Teleonomic mechanisms in cellular metabolism, growth, and differentiation | Q33972541 | ||
| Differentiation of malignant to benign cells | Q34235852 | ||
| The multistep nature of cancer | Q34366937 | ||
| Transdifferentiation in neoplastic development and its pathological implication | Q34408511 | ||
| Cancer stem cells: an old idea--a paradigm shift | Q34495973 | ||
| Robustness and evolvability in genetic regulatory networks | Q34594618 | ||
| On the use of the word 'epigenetic'. | Q34615615 | ||
| Transitions between epithelial and mesenchymal states in development and disease | Q34761972 | ||
| Stochasticity and cell fate | Q34767687 | ||
| Use and misuse of the gene ontology annotations | Q34778304 | ||
| Transcriptome-wide noise controls lineage choice in mammalian progenitor cells | Q34780848 | ||
| Reprogramming cell fates: reconciling rarity with robustness | Q34968682 | ||
| The cancer genome anatomy project: online resources to reveal the molecular signatures of cancer | Q35008314 | ||
| Towards a holistic, yet gene-centered analysis of gene expression profiles: a case study of human lung cancers | Q35220739 | ||
| Developmental biology informs cancer: the emerging role of the hedgehog signaling pathway in upper gastrointestinal cancers | Q35571365 | ||
| Molecular classification and molecular genetics of human lung cancers | Q35674547 | ||
| Non-Small-Cell Lung Cancer Molecular Signatures Recapitulate Lung Developmental Pathways | Q35843403 | ||
| Somatic evolution of cancer cells. | Q36213373 | ||
| Mechanisms of disease: Oncogene addiction--a rationale for molecular targeting in cancer therapy | Q36559283 | ||
| A non-genetic basis for cancer progression and metastasis: self-organizing attractors in cell regulatory networks | Q36808472 | ||
| Analysis of gene expression in a developmental context emphasizes distinct biological leitmotifs in human cancers | Q36864745 | ||
| Tumor stroma and regulation of cancer development | Q37014752 | ||
| Oncogene-induced plasticity and cancer stem cells | Q37057588 | ||
| Microenvironmental regulation of cancer development | Q37087773 | ||
| How transcription factors program chromatin--lessons from studies of the regulation of myeloid-specific genes | Q37200037 | ||
| Stem cell concepts renew cancer research | Q37344092 | ||
| Stem cell states, fates, and the rules of attraction | Q37475461 | ||
| Loss of oncogenic ras expression does not correlate with loss of tumorigenicity in human cells | Q37536190 | ||
| On the nature of enduring modifications induced in cells and organisms | Q38144582 | ||
| P433 | issue | 7 | |
| P407 | language of work or name | English | Q1860 |
| P304 | page(s) | 869-876 | |
| P577 | publication date | 2009-07-10 | |
| P1433 | published in | Seminars in Cell & Developmental Biology | Q14330411 |
| P1476 | title | Cancer attractors: a systems view of tumors from a gene network dynamics and developmental perspective | |
| P478 | volume | 20 |
| Q98466634 | A Darwinian and Physical Look at Stem Cell Biology Helps Understanding the Role of Stochasticity in Development |
| Q28547803 | A Gene Gravity Model for the Evolution of Cancer Genomes: A Study of 3,000 Cancer Genomes across 9 Cancer Types |
| Q28596313 | A Physical Mechanism and Global Quantification of Breast Cancer |
| Q28742360 | A framework for the study of multiple realizations: the importance of levels of analysis |
| Q57272542 | A landscape view on the interplay between EMT and cancer metastasis |
| Q42314559 | A new way to build cell lineages |
| Q36555525 | A physical mechanism of cancer heterogeneity |
| Q50104991 | A roadmap towards personalized immunology. |
| Q28262027 | A systems-biological study on the identification of safe and effective molecular targets for the reduction of ultraviolet B-induced skin pigmentation |
| Q52373680 | ATLANTIS - Attractor Landscape Analysis Toolbox for Cell Fate Discovery and Reprogramming. |
| Q37949892 | Acute lymphoblastic leukemia and developmental biology: a crucial interrelationship |
| Q37048812 | Adaptively biased sequential importance sampling for rare events in reaction networks with comparison to exact solutions from finite buffer dCME method |
| Q37096363 | Advances in computational approaches for prioritizing driver mutations and significantly mutated genes in cancer genomes |
| Q37102361 | Algorithmic methods to infer the evolutionary trajectories in cancer progression |
| Q28600997 | An analysis toolbox to explore mesenchymal migration heterogeneity reveals adaptive switching between distinct modes |
| Q42283973 | An extended gene protein/products Boolean network model including post-transcriptional regulation |
| Q91555475 | Attractor Concepts to Evaluate the Transcriptome-wide Dynamics Guiding Anaerobic to Aerobic State Transition in Escherichia coli |
| Q39241369 | Attractor landscape analysis reveals feedback loops in the p53 network that control the cellular response to DNA damage |
| Q64925782 | Bioenergetics of life, disease and death phenomena. |
| Q38775538 | Bioinformatics Tools for Genome-Wide Epigenetic Research |
| Q39830074 | Boolean modeling techniques for protein co-expression networks in systems medicine. |
| Q38255571 | Boolean modeling: a logic-based dynamic approach for understanding signaling and regulatory networks and for making useful predictions |
| Q58750452 | Bridging the Data Gap From Toxicity Testing to Chemical Safety Assessment Through Computational Modeling |
| Q35914932 | CABeRNET: a Cytoscape app for augmented Boolean models of gene regulatory NETworks |
| Q30951310 | CAPRI: efficient inference of cancer progression models from cross-sectional data |
| Q51094931 | Can a minimal replicating construct be identified as the embodiment of cancer? |
| Q38734984 | Cancer as a changed tissue's way of life (when to treat, when to watch and when to think). |
| Q85070412 | Cancer: More of polygenic disease and less of multiple mutations? A quantitative viewpoint |
| Q42850704 | Cancer: tilting at windmills? |
| Q46096783 | Cell cycle time series gene expression data encoded as cyclic attractors in Hopfield systems. |
| Q35596638 | Cell fate reprogramming by control of intracellular network dynamics |
| Q92987473 | Cell-state dynamics and therapeutic resistance in melanoma from the perspective of MITF and IFNγ pathways |
| Q92199284 | Challenges in measuring and understanding biological noise |
| Q47811450 | Characterizing cancer subtypes as attractors of Hopfield networks |
| Q45908913 | Chromatin remodeling system, cancer stem-like attractors, and cellular reprogramming. |
| Q38100689 | Chromosomal instability (CIN): what it is and why it is crucial to cancer evolution |
| Q41877788 | CoGNaC: A Chaste Plugin for the Multiscale Simulation of Gene Regulatory Networks Driving the Spatial Dynamics of Tissues and Cancer |
| Q34060169 | Competing views on cancer |
| Q53231818 | Construction of an effective landscape for multistate genetic switches. |
| Q35234867 | Control of asymmetric Hopfield networks and application to cancer attractors |
| Q33555470 | Correlations in the degeneracy of structurally controllable topologies for networks. |
| Q38667305 | Decoding early myelopoiesis from dynamics of core endogenous network |
| Q84273227 | Decoding the genome beyond sequencing: the new phase of genomic research |
| Q50774202 | Detection meeting control: Unstable steady states in high-dimensional nonlinear dynamical systems. |
| Q38803510 | Dissection of transcriptional and cis-regulatory control of differentiation in human pancreatic cancer |
| Q34671454 | Distinguishing between driver and passenger mutations in individual cancer genomes by network enrichment analysis |
| Q57128184 | Drawing on disorder: How viruses use histone mimicry to their advantage |
| Q55345411 | Dynamical analysis of cellular ageing by modeling of gene regulatory network based attractor landscape. |
| Q98184223 | Dynamical gene regulatory networks are tuned by transcriptional autoregulation with microRNA feedback |
| Q93049258 | Electromagnetic Fields, Genomic Instability and Cancer: A Systems Biological View |
| Q34710990 | Endogenous Voltage Potentials and the Microenvironment: Bioelectric Signals that Reveal, Induce and Normalize Cancer |
| Q36658749 | Endogenous network states predict gain or loss of functions for genetic mutations in hepatocellular carcinoma |
| Q26851654 | Endogenous voltage gradients as mediators of cell-cell communication: strategies for investigating bioelectrical signals during pattern formation |
| Q38216619 | Epigenetic resolution of the 'curse of complexity' in adaptive evolution of complex traits |
| Q35726218 | Episensitization: Defying Time's Arrow |
| Q58758851 | Estimating Attractor Reachability in Asynchronous Logical Models |
| Q34269054 | Evolving sensitivity balances Boolean Networks |
| Q47132893 | Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders |
| Q90156688 | FOXA2 controls the cis-regulatory networks of pancreatic cancer cells in a differentiation grade-specific manner |
| Q42851009 | Fractal analysis in a systems biology approach to cancer. |
| Q93088297 | From Discrete to Continuous Modeling of Lymphocyte Development and Plasticity in Chronic Diseases |
| Q39002176 | From cytoskeletal dynamics to organ asymmetry: a nonlinear, regulative pathway underlies left-right patterning |
| Q36819689 | From molecular interaction to acute promyelocytic leukemia: Calculating leukemogenesis and remission from endogenous molecular-cellular network |
| Q38856036 | Gap junctional signaling in pattern regulation: Physiological network connectivity instructs growth and form |
| Q36283428 | Gene regulatory network underlying the immortalization of epithelial cells |
| Q37812531 | Gene regulatory networks: a new conceptual framework to analyse breast cancer behaviour |
| Q38103747 | Genetic and non-genetic instability in tumor progression: link between the fitness landscape and the epigenetic landscape of cancer cells |
| Q49195059 | How the evolution of multicellularity set the stage for cancer. |
| Q38601823 | Identification of cis-regulatory mutations generating de novo edges in personalized cancer gene regulatory networks |
| Q46438517 | Incorporation of dimethoxycurcumin into charged liposomes and the formation kinetics of fractal aggregates of uncharged vectors |
| Q26999069 | Integrative analysis of cancer imaging readouts by networks |
| Q38891078 | Intracellular and intercellular signaling networks in cancer initiation, development and precision anti-cancer therapy: RAS acts as contextual signaling hub. |
| Q57499614 | Investigating the Role of Network Topology and Dynamical Regimes on the Dynamics of a Cell Differentiation Model |
| Q35175249 | Investigating the relation between stochastic differentiation, homeostasis and clonal expansion in intestinal crypts via multiscale modeling |
| Q58306245 | Landscape and flux theory of non-equilibrium dynamical systems with application to biology |
| Q91663805 | Learning a Latent Space of Highly Multidimensional Cancer Data |
| Q26745955 | Logical Modeling and Dynamical Analysis of Cellular Networks |
| Q28539760 | Mathematical model of a telomerase transcriptional regulatory network developed by cell-based screening: analysis of inhibitor effects and telomerase expression mechanisms |
| Q38732277 | Mathematical models of cell phenotype regulation and reprogramming: Make cancer cells sensitive again! |
| Q33656026 | Mathematical models of the transitions between endocrine therapy responsive and resistant states in breast cancer. |
| Q28081608 | Metabolic control of cancer cell stemness: Lessons from iPS cells |
| Q43116430 | Metabostemness: Metaboloepigenetic reprogramming of cancer stem-cell functions |
| Q92132838 | Modeling Basins of Attraction for Breast Cancer Using Hopfield Networks |
| Q33562654 | Modeling and visualizing cell type switching |
| Q55110585 | Modeling small cell lung cancer (SCLC) biology through deterministic and stochastic mathematical models. |
| Q38811616 | Modeling the Attractor Landscape of Disease Progression: a Network-Based Approach |
| Q27023511 | Morphogenetic fields in embryogenesis, regeneration, and cancer: non-local control of complex patterning |
| Q26741948 | Multidimensional Complexity of Cancer. Simple Solutions Are Needed |
| Q58006874 | Network analyses in systems biology: new strategies for dealing with biological complexity |
| Q38860765 | Network biology approach to epithelial-mesenchymal transition in cancer metastasis: three stage theory |
| Q39311008 | Network modelling of gene regulation |
| Q94547493 | New Insights Into the Role of Phenotypic Plasticity and EMT in Driving Cancer Progression |
| Q38474990 | Non-genetic cancer cell plasticity and therapy-induced stemness in tumour relapse: 'What does not kill me strengthens me'. |
| Q28482084 | Nonheritable cellular variability accelerates the evolutionary processes of cancer |
| Q38727049 | Novel Hybrid Phenotype Revealed in Small Cell Lung Cancer by a Transcription Factor Network Model That Can Explain Tumor Heterogeneity. |
| Q37657570 | Of plasticity and specificity: dialectics of the micro- and macro-environment and the organ phenotype |
| Q35235884 | PPARγ population shift produces disease-related changes in molecular networks associated with metabolic syndrome. |
| Q55266327 | Parameter sensitivity analysis for a stochastic model of mitochondrial apoptosis pathway. |
| Q33932561 | Patterns of basal signaling heterogeneity can distinguish cellular populations with different drug sensitivities |
| Q61735522 | Personalization of Logical Models With Multi-Omics Data Allows Clinical Stratification of Patients |
| Q39390852 | Phenotypic Plasticity and Cell Fate Decisions in Cancer: Insights from Dynamical Systems Theory |
| Q36974686 | Physiological controls of large-scale patterning in planarian regeneration: a molecular and computational perspective on growth and form |
| Q51239492 | Plasticity of tumour and immune cells: a source of heterogeneity and a cause for therapy resistance? |
| Q36751746 | Prediction of disease-gene-drug relationships following a differential network analysis |
| Q91934228 | Principles and mechanisms of non-genetic resistance in cancer |
| Q37575496 | Proteome-Scale Investigation of Protein Allosteric Regulation Perturbed by Somatic Mutations in 7,000 Cancer Genomes |
| Q34311931 | Quantifying the underlying landscape and paths of cancer |
| Q37718332 | Quantitative implementation of the endogenous molecular-cellular network hypothesis in hepatocellular carcinoma |
| Q51848749 | RNA-directed epigenomic reprogramming: an emerging principle of a more targeted cancer therapy? |
| Q36861803 | Raman spectroscopy detects melanoma and the tissue surrounding melanoma using tissue-engineered melanoma models |
| Q28084675 | Re-membering the body: applications of computational neuroscience to the top-down control of regeneration of limbs and other complex organs |
| Q92442397 | Resolution of Complex Issues in Genome Regulation and Cancer Requires Non-Linear and Network-Based Thermodynamics |
| Q30530379 | Resting potential, oncogene-induced tumorigenesis, and metastasis: the bioelectric basis of cancer in vivo |
| Q62648881 | Review: Precision medicine and driver mutations: Computational methods, functional assays and conformational principles for interpreting cancer drivers |
| Q34364418 | Robustness and information propagation in attractors of Random Boolean Networks |
| Q38611072 | Several Indicators of Critical Transitions for Complex Diseases Based on Stochastic Analysis |
| Q37521396 | Single cell heterogeneity: why unstable genomes are incompatible with average profiles. |
| Q47233458 | Single-Cell Expression Profiling and Proteomics of Primordial Germ Cells, Spermatogonial Stem Cells, Adult Germ Stem Cells, and Oocytes |
| Q47577161 | Single-cell transcriptional analysis to uncover regulatory circuits driving cell fate decisions in early mouse development |
| Q38061224 | Somatic evolution of head and neck cancer - biological robustness and latent vulnerability. |
| Q33363918 | Somatic polyploidy is associated with the upregulation of c-MYC interacting genes and EMT-like signature |
| Q37741546 | Stem Cell Differentiation Stage Factors from Zebrafish Embryo: A Novel Strategy to Modulate the Fate of Normal and Pathological Human (Stem) Cells |
| Q26739748 | Stress-triggered atavistic reprogramming (STAR) addiction: driving force behind head and neck cancer? |
| Q35574535 | Structural defects lead to dynamic entrapment in cardiac electrophysiology |
| Q27008867 | Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review |
| Q37687587 | Suppression of endogenous lipogenesis induces reversion of the malignant phenotype and normalized differentiation in breast cancer. |
| Q64067342 | Systematic characterization of germline variants from the DiscovEHR study endometrial carcinoma population |
| Q92282804 | Systems Pharmacogenomic Landscape of Drug Similarities from LINCS data: Drug Association Networks |
| Q37679242 | Systems biology - the broader perspective |
| Q34110540 | Systems biology modeling reveals a possible mechanism of the tumor cell death upon oncogene inactivation in EGFR addicted cancers |
| Q37897423 | Systems biology of stem cells: three useful perspectives to help overcome the paradigm of linear pathways |
| Q27024916 | The "virgin birth", polyploidy, and the origin of cancer |
| Q90046703 | The Cognitive Lens: a primer on conceptual tools for analysing information processing in developmental and regenerative morphogenesis |
| Q38263642 | The function of chromatin modifiers in lineage commitment and cell fate specification |
| Q36902026 | The influence of assortativity on the robustness and evolvability of gene regulatory networks upon gene birth |
| Q51494026 | The molecular and mathematical basis of Waddington's epigenetic landscape: a framework for post-Darwinian biology? |
| Q34143477 | The origins of cancer robustness and evolvability. |
| Q36379172 | The problem of colliding networks and its relation to cell fusion and cancer |
| Q38209603 | The role of gene regulatory networks in promoting cancer progression and metastasis |
| Q46652669 | Therapeutic hints from analyzing the attractor landscape of the p53 regulatory circuit |
| Q38182423 | Therapy resistance mechanisms in Ewing's sarcoma family tumors |
| Q33590178 | Three steps to the immortality of cancer cells: senescence, polyploidy and self-renewal |
| Q28073689 | Top-down models in biology: explanation and control of complex living systems above the molecular level |
| Q100559140 | Topological analysis reveals state transitions in human gut and marine bacterial communities |
| Q34854026 | Towards a dynamical network view of brain ischemia and reperfusion. Part I: background and preliminaries |
| Q39242906 | Transcription factors link mouse WAP-T mammary tumors with human breast cancer |
| Q36790917 | Transmembrane voltage potential is an essential cellular parameter for the detection and control of tumor development in a Xenopus model |
| Q51139804 | Tumors as chaotic attractors. |
| Q38010105 | Understanding multimodal biological decisions from single cell and population dynamics |
Search more.