Selection bias in gene extraction on the basis of microarray gene
Selection bias in gene extraction on the basis of microarray gene-expression data ... supervised classification of tumor tissue samples and not the unsupervised ...
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Correction of selection bias - arXiv.org
a small subset of the available genes, there is a selection bias that has to be corrected for in the ... form a prediction rule based on the gene-signature vectors of these classified tissue samples. ...... Selection bias in gene extraction on the basis ... ing with the top genes in supervised classification of tissue samples. Statistical.
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Address it by employing suitable classification and feature ranking/selection ..... Selection bias in gene extraction on the basis of microarray gene-expression ...
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Full article [PDF]
preprocessing methods we applied for supervised classification tasks. ... to selection bias effects . ..... Selection bias in gene extraction on the basis of mi-.
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Thesis summary and discussion - Dissertationen Online an der FU
infer a classification rule, i.e. instructions how to decode disease type from future mea- surements. In case such a .... Selection bias in gene extraction on the basis of microarray gene-expression data .... Supervised clustering of genes. Genome.
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Variable and Feature Selection in Machine Learning (Review
❖Data belong to different classes in supervised learning ...  C. Ambroise, G.J. McLachlan: Selection bias in gene extraction on the basis of microarray ...
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Pitfalls of supervised feature selection - Bioinformatics
Oct 29, 2009 ... both: supervised feature selection and classification and should not be limited to classification .... against classification bias permitting a greater decrease in the ... extraction on the basis of microarray gene-expression data,.
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greatly exceeds the number of cases (n
Supervised Analysis When the Number of ... therapy selection or diagnostic classification or prognostic ... of advanced melanoma based on gene expression. ..... Selection bias in gene extraction on the basis of microarray gene-expression ...
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A review of feature selection techniques in bioinformatics
of supervised classification and better cluster detection in the case of clustering, b ) to provide ...... Selection bias in gene extraction on the basis of microarray ...
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Gene selection using independent variable group analysis for tumor
In this paper, a new method for gene selection based on independent ... For this problem, there are two distinct methods, supervised and unsupervised classification, ... tumor classification, one disadvantage of feature extraction methods is that .... to avoid the bias caused by using the same data twice, both for sampling and ...
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References - Wiley Online Library
Selection bias in gene extraction on the basis of microarray gene-expression data. Proceedings of the ... reduction methods for tumor classification using gene expression data. Bioinfor- mutics 19 ..... Supervised clustering of genes. Genome.
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Classification with High-Dimensional Genetic Data: Assigning
Sep 13, 2008 ... In this paper, we focus on these supervised classification problems, and ...... Selection bias in gene extraction on the basis of microarray ...
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A Memetic Algorithm for Gene Selection and Molecular
Jul 12, 2009 ... For supervised classification, attribute selection methods. (see  for an ... genetic algorithms are based on blind genetic operators such as random crossover and ..... Extract the subset of genes shared by both parents by boolean logic AND ..... results may suffer from the selection bias and consequently.
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Partially Supervised Feature Selection with Regularized Linear
available in this context to bias the selection ... Semi-supervised classification deals with problems for ..... in gene extraction on the basis of microarra gene-.
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MEG Mind Reading: Strategies for Feature Selection
The task in the supervised classification is to make predictions about the ...... Selection bias in gene extraction on the basis of microarray gene-expression data.
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Integrating gene expression profiling and clinical data - ScienceDirect
The response to the supervised classification task is then used to drive a ..... Selection bias in gene extraction on the basis of microarray gene-expression data, ...
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Gene selection and classification of microarray data using random
Selection of relevant genes for sample classification is a common task in most gene ...... Díaz-Uriarte R: Supervised methods with genomic data: a review and .... Ambroise C, McLachlan GJ: Selection bias in gene extraction on the basis of ...
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Changes in Gene Expression Associated With Response to
May 20, 2005 ... investigated whether gene expression profiles of the primary tumor could .... mastectomy or breast-conserving treatment according to the stan- ... RNA isolation and amplification were performed as previ- .... The supervised classification approach used up to this ..... Ambroise C, McLachlan GJ: Selection bias.
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Predicting breast cancer using an expression values - KU Leuven
Conclusions: Thus a clinical classifier weighted with microarray data set results in .... A kernel algorithm for supervised classification is the SVM developed by ..... Ambroise C, McLachlan GJ: Selection bias in gene extraction on the basis of ...
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Enhancing Interpretability of Gene Signatures with Prior Biological
Jun 8, 2016 ... Gene Ontology (GO) domain knowledge into the variable selection ... We devised a binary classification problem of PD cases and ..... Annalisa Barla developed the statistical methodology and supervised KDVS development. ... Ambroise, C.; McLachlan, G.J. Selection bias in gene extraction on the basis of ...
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