Publication

Rgtsp: a generalized top scoring pairs package for class prediction

Mauro Delorenzi, Vlad Popovici
2011
Journal Articles

Résumé

A top scoring pair (TSP) classifier consists of a pair of variables whose relative ordering can be used for accurately predicting the class label of a sample. This classification rule has the advantage of being easily interpretable and more robust against technical variations in data, as those due to different microarray platforms. Here we describe a parallel implementation of this classifier which significantly reduces the training time, and a number of extensions, including a multi-class approach, which has the potential of improving the classification performance.

Source officielle

https://infoscience.epfl.ch/entities/publication/865a2ae1-b389-4f64-96ce-7d3defd87068

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Mauro Delorenzi, Vlad Popovici
2011
Journal Articles

Résumé

Source officielle

https://infoscience.epfl.ch/entities/publication/865a2ae1-b389-4f64-96ce-7d3defd87068

À propos de ce résultat

Concepts associés (16)

Classification en classes multiples

In machine learning and statistical classification, multiclass classification or multinomial classification is the problem of classifying instances into one of three or more classes (classifying instances into one of two classes is called binary classification). While many classification algorithms (notably multinomial logistic regression) naturally permit the use of more than two classes, some are by nature binary algorithms; these can, however, be turned into multinomial classifiers by a variety of strategies.

Puce à ADN

thumb|upright=1.2|Principe d'utilisation de la puce à ADN. Une puce à ADN est un ensemble de molécules d'ADN fixées en rangées ordonnées sur une petite surface qui peut être du verre, du silicium ou du plastique. Cette biotechnologie récente permet d'analyser le niveau d'expression des gènes (transcrits) dans une cellule, un tissu, un organe, un organisme ou encore un mélange complexe, à un moment donné et dans un état donné par rapport à un échantillon de référence.

Microarray

A microarray is a multiplex lab-on-a-chip. Its purpose is to simultaneously detect the expression of thousands of biological interactions. It is a two-dimensional array on a solid substrate—usually a glass slide or silicon thin-film cell—that assays (tests) large amounts of biological material using high-throughput screening miniaturized, multiplexed and parallel processing and detection methods. The concept and methodology of microarrays was first introduced and illustrated in antibody microarrays (also referred to as antibody matrix) by Tse Wen Chang in 1983 in a scientific publication and a series of patents.

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Publications associées (30)

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Learning curves for the multi-class teacher-student perceptron

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Bayes-optimal Learning of Deep Random Networks of Extensive-width

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We consider the problem of learning a target function corresponding to a deep, extensive-width, non-linear neural network with random Gaussian weights. We consider the asymptotic limit where the number of samples, the input dimension and the network width ...

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