Predicting hepatitis B virus-positive metastatic hepatocellular carcinomas using gene expression profiling and supervised machine learning. - Wikidata - awgldk - TriplyDB

Predicting hepatitis B virus-positive metastatic hepatocellular carcinomas using gene expression profiling and supervised machine learning.

Predicting hepatitis B virus-positive metastatic hepatocellular carcinomas using gene expression profiling and supervised machine learning.

http://www.wikidata.org/entity/Q45728735

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Wnt/beta-catenin signaling activates microRNA-181 expression in hepatocellular carcinoma Identification of MSRA gene on chromosome 8p as a candidate metastasis suppressor for human hepatitis B virus-positive hepatocellular carcinoma JNK1 activation predicts the prognostic outcome of the human hepatocellular carcinoma A noncanonical Frizzled2 pathway regulates epithelial-mesenchymal transition and metastasis Downregulation of HTPAP transcript variant 1 correlates with tumor metastasis and poor survival in patients with hepatocellular carcinoma WNT10B functional dualism: beta-catenin/Tcf-dependent growth promotion or independent suppression with deregulated expression in cancer HPtaa database-potential target genes for clinical diagnosis and immunotherapy of human carcinoma.Prediction of hepatocellular carcinoma biological behavior in patient selection for liver transplantation CCN: core regulatory proteins in the microenvironment that affect the metastasis of hepatocellular carcinoma?The function of miRNA in hepatic cancer stem cell The genetic and epigenetic alterations in human hepatocellular carcinoma: a recent update Effect of hepatitis C virus core protein on the molecular profiling of human B lymphocytes Ligand-based targeted therapy: a novel strategy for hepatocellular carcinoma An integrated data analysis approach to characterize genes highly expressed in hepatocellular carcinoma ONCOMINE: a cancer microarray database and integrated data-mining platform Altered expression and deletion of RMO1 in osteosarcoma Molecular classification and novel targets in hepatocellular carcinoma: recent advancements Integrative and comparative genomics analysis of early hepatocellular carcinoma differentiated from liver regeneration in young and old Higher Matrix Stiffness Upregulates Osteopontin Expression in Hepatocellular Carcinoma Cells Mediated by Integrin β1/GSK3β/β-Catenin Signaling Pathway MicroRNA profile predicts recurrence after resection in patients with hepatocellular carcinoma within the Milan Criteria Rapid Prediction of Bacterial Heterotrophic Fluxomics Using Machine Learning and Constraint Programming Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression Serum Glycopatterns as Novel Potential Biomarkers for Diagnosis of Acute-on-Chronic Hepatitis B Liver Failure Pretreatment assessment of hepatocellular carcinoma: expert consensus statement.EpCAM-positive hepatocellular carcinoma cells are tumor-initiating cells with stem/progenitor cell features Development of biomarkers for screening hepatocellular carcinoma using global data mining and multiple reaction monitoring.Genetic variations in plasma circulating DNA of HBV-related hepatocellular carcinoma patients predict recurrence after liver transplantation.Establishment of a prediction model of changing trends in cardiac hypertrophy disease based on microarray data screening.Global gene expression profiling of dimethylnitrosamine-induced liver fibrosis: from pathological and biochemical data to microarray analysis.Signature Evaluation Tool (SET): a Java-based tool to evaluate and visualize the sample discrimination abilities of gene expression signatures Proteomic profiling reveals the prognostic value of adenomatous polyposis coli-end-binding protein 1 in hepatocellular carcinoma.Suitable reference genes for real-time PCR in human HBV-related hepatocellular carcinoma with different clinical prognoses.Stem cells in hepatocarcinogenesis: evidence from genomic data Decreased expression of the Nkx2.8 gene correlates with tumor progression and a poor prognosis in HCC cancer.Time-dependent transcriptional profiling links gene expression to mitogen-activated protein kinase kinase 4 (MKK4)-mediated suppression of omental metastatic colonization.BRCA-Monet: a breast cancer specific drug treatment mode-of-action network for treatment effective prediction using large scale microarray database.Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering.Prognostic Biomarker Identification Through Integrating the Gene Signatures of Hepatocellular Carcinoma Properties Application of microRNA and mRNA expression profiling on prognostic biomarker discovery for hepatocellular carcinoma Herbal compound "Songyou Yin" reinforced the ability of interferon-alfa to inhibit the enhanced metastatic potential induced by palliative resection of hepatocellular carcinoma in nude mice.

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Predicting hepatitis B virus-positive metastatic hepatocellular carcinomas using gene expression profiling and supervised machine learning.

http://www.wikidata.org/entity/Q45728735

description

2003 nî lūn-bûn

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Predicting hepatitis B virus-p ...... d supervised machine learning.

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Amy C Peng

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Ana I Robles

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Jin Woo Kim

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Lun-Xiu Qin

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Marshonna Forgues

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Ping He

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Qing-Hai Ye

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Richard Simon

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Sheng-Long Ye

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Xin Wei Wang

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10.1038/NM843

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