Cancer metastasis networks and the prediction of progression patterns
about
Climate dynamics: a network-based approach for the analysis of global precipitationMining electronic health records: towards better research applications and clinical careTumorTracer: a method to identify the tissue of origin from the somatic mutations of a tumor specimenTemporal disease trajectories condensed from population-wide registry data covering 6.2 million patientsGenetic factors in metastatic progression of cutaneous melanoma: the future role of circulating melanoma cells in prognosis and management.AACR centennial series: the biology of cancer metastasis: historical perspectiveCauses of death in patients with extranodal cancer of unknown primary: searching for the primary site.Co-evolution of cancer microenvironment reveals distinctive patterns of gastric cancer invasion: laboratory evidence and clinical significanceA stochastic Markov chain model to describe lung cancer growth and metastasis.Exploring the human diseasome: the human disease network.Comparison of survival of patients with metastases from known versus unknown primaries: survival in metastatic cancer.The network of antigen-antibody reactions in adult women with breast cancer or benign breast pathology or without breast pathologyThe landscape of metastatic progression patterns across major human cancersSpreaders and sponges define metastasis in lung cancer: a Markov chain Monte Carlo mathematical model.Entropy, complexity, and Markov diagrams for random walk cancer models.Germline determinants of clinical outcome of cutaneous melanoma.Protein-protein interaction networks and subnetworks in the biology of disease.Biological network analysis: insights into structure and functions.Minimal residual disease in melanoma: circulating melanoma cells and predictive role of MCAM/MUC18/MelCAM/CD146.Pulmonary delivery of nanoparticle chemotherapy for the treatment of lung cancers: challenges and opportunitiesSite-specific cancer deaths in cancer of unknown primary diagnosed with lymph node metastasis may reveal hidden primaries.Survival in cancer of unknown primary site: population-based analysis by site and histology.Site-specific survival rates for cancer of unknown primary according to location of metastases.Sites of metastasis and overall survival in esophageal cancer: a population-based study.Applications of network analysis to routinely collected health care data: a systematic review.Computed tomography morphologic features of pulmonary adenocarcinoma with brain/bone metastasis.Modeling the connection between primary and metastatic tumors.An Epidemiological Human Disease Network Derived from Disease Co-occurrence in Taiwan.A Network-Biology Informed Computational Drug Repositioning Strategy to Target Disease Risk Trajectories and Comorbidities of Peripheral Artery Disease.[Observation - An Favorable Option Forthoracic Dissemination Patients with Lung Adenocarcinoma or Squamous Carcinoma].
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Cancer metastasis networks and the prediction of progression patterns
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on September 2009
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Cancer metastasis networks and the prediction of progression patterns
@en
Cancer metastasis networks and the prediction of progression patterns.
@nl
type
label
Cancer metastasis networks and the prediction of progression patterns
@en
Cancer metastasis networks and the prediction of progression patterns.
@nl
prefLabel
Cancer metastasis networks and the prediction of progression patterns
@en
Cancer metastasis networks and the prediction of progression patterns.
@nl
P2093
P2860
P356
P1476
Cancer metastasis networks and the prediction of progression patterns
@en
P2093
N A Christakis
T S Deisboeck
P2860
P2888
P304
P356
10.1038/SJ.BJC.6605214
P407
P577
2009-09-01T00:00:00Z