Towards integrated clinico-genomic models for personalized medicine: combining gene expression signatures and clinical factors in breast cancer outcomes prediction.
about
A transcriptome-proteome integrated network identifies endoplasmic reticulum thiol oxidoreductase (ERp57) as a hub that mediates bone metastasisPredicting chemoinsensitivity in breast cancer with 'omics/digital pathology data fusionA surface topography assisted droplet manipulation platform for biomarker detection and pathogen identificationIntegrating scientific data for drug discovery and development using the Life Sciences Grid.Investigating the prediction ability of survival models based on both clinical and omics data: two case studies.Improving the Prognostic Ability through Better Use of Standard Clinical Data - The Nottingham Prognostic Index as an Example.An integrated feature selection and classification method to select minimum number of variables on the case study of gene expression data.Gene expression patterns that predict sensitivity to epidermal growth factor receptor tyrosine kinase inhibitors in lung cancer cell lines and human lung tumors.Meta-analysis of several gene lists for distinct types of cancer: a simple way to reveal common prognostic markers.A Population Proportion approach for ranking differentially expressed genes.Cross-study projections of genomic biomarkers: an evaluation in cancer genomics.A kernel-based integration of genome-wide data for clinical decision support.Determining relative importance of variables in developing and validating predictive models.Survival prediction from clinico-genomic models--a comparative study.Expression profiling of formalin-fixed paraffin-embedded primary breast tumors using cancer-specific and whole genome gene panels on the DASL® platform.Stepwise classification of cancer samples using clinical and molecular data.High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics.Added predictive value of omics data: specific issues related to validation illustrated by two case studies.Identification of a subset of breast carcinomas characterized by expression of cytokeratin 15: relationship between CK15+ progenitor/amplified cells and pre-malignant lesions and invasive disease.Prediction of individual response to anticancer therapy: historical and future perspectivesGenomic medicine: genetic variation and its impact on the future of health care.Expression of endoplasmic reticulum stress proteins is a candidate marker of brain metastasis in both ErbB-2+ and ErbB-2- primary breast tumorsMolecular characterisation of formalin-fixed paraffin-embedded (FFPE) breast tumour specimens using a custom 512-gene breast cancer bead array-based platform.Breast cancer biomarkers and molecular medicine: part II.Big data and computational biology strategy for personalized prognosis.Classification of Benign and Malignant Thyroid Nodules Using a Combined Clinical Information and Gene Expression Signatures.Comparison of regional gene expression differences in the brains of the domestic dog and humanFrom evidence-based medicine to genomic medicine.Development and validation of a Prototype Prakriti Analysis Tool (PPAT): Inferences from a pilot study.Of cardiovascular illness and diversity of biological responseEngineered polymers for advanced drug delivery.Defining a comprehensive verotype using electronic health records for personalized medicine.High throughput molecular diagnostics in bladder cancer - on the brink of clinical utility.GPU-powered Shotgun Stochastic Search for Dirichlet process mixtures of Gaussian Graphical Models.Adaptive prediction model in prospective molecular signature-based clinical studies.Prediction of cancer outcome using DNA microarray technology: past, present and future.Genotype-driven identification of a molecular network predictive of advanced coronary calcium in ClinSeq® and Framingham Heart Study cohorts.Taking gene-expression profiling to the clinic: when will molecular signatures become relevant to patient care?
P2860
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P2860
Towards integrated clinico-genomic models for personalized medicine: combining gene expression signatures and clinical factors in breast cancer outcomes prediction.
description
2003 nî lūn-bûn
@nan
2003 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
Towards integrated clinico-gen ...... st cancer outcomes prediction.
@ast
Towards integrated clinico-gen ...... st cancer outcomes prediction.
@en
type
label
Towards integrated clinico-gen ...... st cancer outcomes prediction.
@ast
Towards integrated clinico-gen ...... st cancer outcomes prediction.
@en
prefLabel
Towards integrated clinico-gen ...... st cancer outcomes prediction.
@ast
Towards integrated clinico-gen ...... st cancer outcomes prediction.
@en
P2093
P356
P1476
Towards integrated clinico-gen ...... st cancer outcomes prediction.
@en
P2093
Andrew T Huang
Erich S Huang
Holly Dressman
Jennifer Pittman
Joseph R Nevins
P304
P356
10.1093/HMG/DDG287
P478
12 Spec No 2
P577
2003-08-19T00:00:00Z