Open AccessJournal Article10.1016/J.COMPBIOMED.2011.08.007

Microarray gene expression: A study of between-platform association of Affymetrix and cDNA arrays

- 01 Oct 2011

- Vol. 41, Iss: 10, pp 980-986

TL;DR: A novel exploration towards determining a precise association between cDNA and Affymetrix platforms using a wide range of statistical and machine learning approaches, specifically the various models are elaborately trailed using-regression (linear, cubic-polynomial, LOESS, bootstrap aggregating) and artificial neural networks (self-organizing maps and feedforward networks).

About: This article is published in Computers in Biology and Medicine. The article was published on 01 Oct 2011. and is currently open access.

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1. What are the contributions in "Microarray gene expression: a study of between-platform asso- ciation of affymetrix and cdna arrays" ?

Accordingly, this paper takes on a novel exploration towards determining a precise association using a wide range of statistical and machine learning approaches.

2. What are the future works in "Microarray gene expression: a study of between-platform asso- ciation of affymetrix and cdna arrays" ?

The resultant output of the study suggests that the relation between the two microarray platforms is non-linear ; and given a gene ’ s expression level in one platform, there is a possibility that a feedforward neural network would provide more accurate expression value of the gene in the other platform compared to the rest of the approaches trialled.

Fig. 2. Microarray data with linear, polynomial and loess fit

Fig. 3. Final neuron-positions along with training- and test-data

Citations

The Self-Organizing Map

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A new look at the statistical model identification

Hirotugu Akaike

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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

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TL;DR: The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set (Multi-Model Inference).

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ggplot2: Elegant Graphics for Data Analysis

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Bootstrap Methods: Another Look at the Jackknife

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Microarray gene expression: A study of between-platform association of Affymetrix and cDNA arrays

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Most frequently asked questions

1. What are the contributions in "Microarray gene expression: a study of between-platform asso- ciation of affymetrix and cdna arrays" ?

2. What are the future works in "Microarray gene expression: a study of between-platform asso- ciation of affymetrix and cdna arrays" ?

Figures

Citations

The Self-Organizing Map

Extracting plants core genes responding to abiotic stresses by penalized matrix decomposition

Applying an Improved Stacking Ensemble Model to Predict the Mortality of ICU Patients with Heart Failure

Joint L1/2-Norm Constraint and Graph-Laplacian PCA Method for Feature Extraction.

A class-information-based penalized matrix decomposition for identifying plants core genes responding to abiotic stresses.

References

A new look at the statistical model identification

Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

ggplot2: Elegant Graphics for Data Analysis

ggplot2: Elegant Graphics for Data Analysis

Bootstrap Methods: Another Look at the Jackknife

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