From patterns to pathways: gene expression data analysis comes of age. (Q30749843)

26 June 2017

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title

From patterns to pathways: gene expression data analysis comes of age. (English)

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26 June 2017

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Donna K Slonim

1

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language of work or name

English

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publication date

1 December 2002

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26 June 2017

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26 June 2017

32 Suppl

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26 June 2017

502-508

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The transcriptional program of sporulation in budding yeast

26 June 2017

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Exploring the metabolic and genetic control of gene expression on a genomic scale

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Parallel human genome analysis: microarray-based expression monitoring of 1000 genes

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Genome-wide expression monitoring in Saccharomyces cerevisiae

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Fundamentals of experimental design for cDNA microarrays

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Design issues for cDNA microarray experiments

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Diverse signaling pathways activated by growth factor receptors induce broadly overlapping, rather than independent, sets of genes

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Dissecting the regulatory circuitry of a eukaryotic genome

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Signaling and circuitry of multiple MAPK pathways revealed by a matrix of global gene expression profiles

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Testing for differentially-expressed genes by maximum-likelihood analysis of microarray data

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Significance analysis of microarrays applied to the ionizing radiation response

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Molecular classification of cancer: class discovery and class prediction by gene expression monitoring

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Feature selection for DNA methylation based cancer classification

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Global gene expression profiling of multiple myeloma, monoclonal gammopathy of undetermined significance, and normal bone marrow plasma cells

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Microarray data normalization and transformation

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Cluster analysis and display of genome-wide expression patterns

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A genome-wide transcriptional analysis of the mitotic cell cycle

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Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization

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Aligning gene expression time series with time warping algorithms

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Analysis techniques for microarray time-series data

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7 January 2021

Fundamental patterns underlying gene expression profiles: simplicity from complexity

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Singular value decomposition for genome-wide expression data processing and modeling

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Molecular classification of cutaneous malignant melanoma by gene expression profiling

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Large-scale temporal gene expression mapping of central nervous system development

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Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling

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Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation

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Clustering gene expression patterns

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7 January 2021

Adaptive quality-based clustering of gene expression profiles.

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7 January 2021

Exploring expression data: identification and analysis of coexpressed genes

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Model-based clustering and data transformations for gene expression data

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Validating clustering for gene expression data.

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Methods for assessing reproducibility of clustering patterns observed in analyses of microarray data

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Bootstrapping cluster analysis: assessing the reliability of conclusions from microarray experiments

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Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks

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MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia

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Prediction of central nervous system embryonal tumour outcome based on gene expression

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Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications

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Gene expression profiling predicts clinical outcome of breast cancer

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Molecular portraits and the family tree of cancer

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Diagnosis of multiple cancer types by shrunken centroids of gene expression

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Gene-Expression Profiles in Hereditary Breast Cancer

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Multiclass cancer diagnosis using tumor gene expression signatures

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Knowledge-based analysis of microarray gene expression data by using support vector machines

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Support vector machine classification and validation of cancer tissue samples using microarray expression data

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Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning

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Tissue classification with gene expression profiles.

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7 January 2021

Using Bayesian networks to analyze expression data

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Inferring subnetworks from perturbed expression profiles.

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7 January 2021

Rich probabilistic models for gene expression

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7 January 2021

At the interfaces of epidemiology, genetics and genomics.

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7 January 2021

Bioinformatics and clinical informatics: the imperative to collaborate

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7 January 2021

Discovering functional relationships between RNA expression and chemotherapeutic susceptibility using relevance networks

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7 January 2021

Discovering regulatory and signalling circuits in molecular interaction networks

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7 January 2021

Visualizing associations between genome sequences and gene expression data using genome-mean expression profiles

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7 January 2021

Systematic determination of genetic network architecture

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7 January 2021

Use of keyword hierarchies to interpret gene expression patterns.

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7 January 2021

Chemosensitivity prediction by transcriptional profiling

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7 January 2021

A paradigm for class prediction using gene expression profiles

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7 January 2021

Identifiers

DOI

10.1038/NG1033

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PubMed ID

12454645

Dimensions Publication ID

26 June 2017

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PubMed ID

12454645