Gene expression-based classification of malignant gliomas correlates better with survival than histological classification. - Wikidata - awgldk - TriplyDB

Gene expression-based classification of malignant gliomas correlates better with survival than histological classification.

Gene expression-based classification of malignant gliomas correlates better with survival than histological classification.

http://www.wikidata.org/entity/Q47999142

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Radiogenomic mapping of edema/cellular invasion MRI-phenotypes in glioblastoma multiforme Anaplastic oligodendrogliomas with 1p19q codeletion have a proneural gene expression profile Comparative analysis and integrative classification of NCI60 cell lines and primary tumors using gene expression profiling data Mining expressed sequence tags identifies cancer markers of clinical interest Overexpression of s6 kinase 1 in brain tumours is associated with induction of hypoxia-responsive genes and predicts patients' survival Microarray analysis identifies a death-from-cancer signature predicting therapy failure in patients with multiple types of cancer Nuclear FABP7 immunoreactivity is preferentially expressed in infiltrative glioma and is associated with poor prognosis in EGFR-overexpressing glioblastoma Gene expression profiling reveals molecularly and clinically distinct subtypes of glioblastoma multiforme Integration of gene expression, clinical, and epidemiologic data to characterize Chronic Fatigue Syndrome The CD47-signal regulatory protein alpha (SIRPa) interaction is a therapeutic target for human solid tumors Identification of noninvasive imaging surrogates for brain tumor gene-expression modules Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1 On the epistemological crisis in genomics Comprehensive genomic characterization defines human glioblastoma genes and core pathways Multiplex ligation-dependent probe amplification: a diagnostic tool for simultaneous identification of different genetic markers in glial tumors Multiclass classification of microarray data with repeated measurements: application to cancer Tumor microenvironments, the immune system and cancer survival Entropy-based gene ranking without selection bias for the predictive classification of microarray data Systematic analysis of T7 RNA polymerase based in vitro linear RNA amplification for use in microarray experiments Semi-supervised methods to predict patient survival from gene expression data Gene selection algorithms for microarray data based on least squares support vector machine.The p75 neurotrophin receptor is a central regulator of glioma invasion Clustering cancer gene expression data: a comparative study Phage display discovery of novel molecular targets in glioblastoma-initiating cells Random generalized linear model: a highly accurate and interpretable ensemble predictor Increased expression of angiogenic genes in the brains of mouse meg3-null embryos Transformation of quiescent adult oligodendrocyte precursor cells into malignant glioma through a multistep reactivation process Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data Brain tumor initiating cells adapt to restricted nutrition through preferential glucose uptake.Temporal ordering of cancer microarray data through a reinforcement learning based approach.Brain tumor classification using AFM in combination with data mining techniques.Recognition of multiple imbalanced cancer types based on DNA microarray data using ensemble classifiers.Bayesian hierarchical clustering for studying cancer gene expression data with unknown statistics Diagnostic discrepancies in malignant astrocytoma due to limited small pathological tumor sample can be overcome by IDH1 testing Learning a weighted meta-sample based parameter free sparse representation classification for microarray data.Subtyping of Gliomaby Combining Gene Expression and CNVs Data Based on a Compressive Sensing Approach.Glioblastoma subclasses can be defined by activity among signal transduction pathways and associated genomic alterations.Evaluation of the functional diffusion map as an early biomarker of time-to-progression and overall survival in high-grade glioma.Cell cycle and aging, morphogenesis, and response to stimuli genes are individualized biomarkers of glioblastoma progression and survival.Measurement of gene expression in archival paraffin-embedded tissues: development and performance of a 92-gene reverse transcriptase-polymerase chain reaction assay

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P2860

Gene expression-based classification of malignant gliomas correlates better with survival than histological classification.

http://www.wikidata.org/entity/Q47999142

description

2003 nî lūn-bûn

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2003年の論文

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2003年学术文章

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2003年学术文章

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2003年学术文章

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2003年学术文章

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2003年学术文章

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2003年学术文章

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2003年學術文章

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2003年學術文章

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name

Gene expression-based classifi ...... n histological classification.

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Gene expression-based classifi ...... n histological classification.

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Gene expression-based classifi ...... n histological classification.

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Gene expression-based classifi ...... n histological classification.

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Gene expression-based classifi ...... n histological classification.

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Gene expression-based classifi ...... n histological classification.

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Gene expression-based classifi ...... an histological classification

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Catherine L Nutt

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Christian Hartmann

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Christine Ladd

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J Gregory Cairncross

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Peter M Black

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12670911

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