Journal ArticleDOI
Gene Expression Profile Classification: A Review
TLDR
This review attempted to present a unified approach that considers both class-prediction and class-discovery, and discussed important issues such as preprocessing of gene expression data, curse of dimensionality, feature extraction/selection, and measuring or estimating classifier performance.Abstract:
In this review, we have discussed the class-prediction and discovery methods that are applied to gene expression data, along with the implications of the findings. We attempted to present a unified approach that considers both class-prediction and class-discovery. We devoted a substantial part of this review to an overview of pattern classification/recognition methods and discussed important issues such as preprocessing of gene expression data, curse of dimensionality, feature extraction/selection, and measuring or estimating classifier performance. We discussed and summarized important properties such as generalizability (sensitivity to overtraining), built-in feature selection, ability to report prediction strength, and transparency (ease of understanding of the operation) of different class-predictor design approaches to provide a quick and concise reference. We have also covered the topic of biclustering, which is an emerging clustering method that processes the entries of the gene expression data matrix in both gene and sample directions simultaneously, in detail.read more
Citations
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Journal ArticleDOI
A Review of Ensemble Methods in Bioinformatics
TL;DR: This article provides a review of the most widely used ensemble learning methods and their application in various bioinformatics problems, including the main topics of gene expression, mass spectrometry-based proteomics, gene-gene interaction identification from genome-wide association studies, and prediction of regulatory elements from DNA and protein sequences.
Journal ArticleDOI
A Decade of Systems Biology
TL;DR: The state of the field is reviewed with a focus on four emerging applications of systems biology likely to be of particular importance during the decade to follow: pathway-based biomarkers, global genetic interaction maps, systems approaches to identify disease genes, and stem cell systems biology.
Journal ArticleDOI
Techniques for clustering gene expression data
TL;DR: This review paper provides a framework for the evaluation of clustering in gene expression analyses and surveys state of the art applications which recognise these limitations and addresses them.
Journal ArticleDOI
Identification of EMG signals using discriminant analysis and SVM classifier
Ahmet Alkan,Mücahid Günay +1 more
TL;DR: Correct classification rates of the applied techniques are very high which can be used to classify EMG signals for prosperous arm prosthesis control studies.
References
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Journal ArticleDOI
Maximum likelihood from incomplete data via the EM algorithm
Journal ArticleDOI
Estimating the Dimension of a Model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Book
An introduction to the bootstrap
Bradley Efron,Robert Tibshirani +1 more
TL;DR: This article presents bootstrap methods for estimation, using simple arguments, with Minitab macros for implementing these methods, as well as some examples of how these methods could be used for estimation purposes.
Estimating the dimension of a model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Statistical learning theory
TL;DR: Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more.
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