Open AccessJournal Article
Identification of diagnostic markers for tuberculosis by proteomic fingerprinting of serum. Commentary
Melanie Y. White,Rebekah L. Gundry,Stuart J. Cordwell,Dan Agranoff,Delmiro Fernandez-Reyes,Marios C. Papadopoulos,Sergio A. Rojas,Mark Herbster,Alison Loosemore,Edward Tarelli,Jo Sheldon,Achim Schwenk,Richard Pollok,Charlotte F. J. Rayner,Sanjeev Krishna +14 more
TLDR
In this paper, a supervised machine-learning approach based on the support vector machine (SVM) was used to obtain a classifier that distinguished between the groups in two independent test sets.About:
This article is published in The Lancet.The article was published on 2006-01-01 and is currently open access. It has received 228 citations till now. The article focuses on the topics: Proteomic Profile.read more
Citations
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Protein Analysis by Shotgun/Bottom-up Proteomics
TL;DR: The progress of proteomics has been driven by the development of new technologies for peptide/protein separation, mass spectrometry analysis, isotope labeling for quantification, and bioinformatics data analysis.
Journal ArticleDOI
Immunological biomarkers of tuberculosis.
TL;DR: Interplay between the host immune system and M. tuberculosis may provide a platform for the identification of suitable biomarkers, through both unbiased and targeted hypothesis-driven approaches.
Journal Article
Tuberculosis 4 Biomarkers and diagnostics for tuberculosis: progress, needs, and translation into practice
TL;DR: Tuberculosis biomarkers host or pathogen-specific provide prognostic information, either for individual patients or study cohorts, about these outcomes as mentioned in this paper, which can be used to improve the diagnosis of tuberculosis.
Journal ArticleDOI
Confronting the scientific obstacles to global control of tuberculosis
TL;DR: Improved understanding of the fundamental biology of this complex disease will prove to be the key to radical advances in TB control.
Journal ArticleDOI
Neutrophils in tuberculosis: friend or foe?
David M. Lowe,Paul S. Redford,Robert J. Wilkinson,Robert J. Wilkinson,Robert J. Wilkinson,Anne O'Garra,Adrian R. Martineau,Adrian R. Martineau,Adrian R. Martineau +8 more
TL;DR: The interaction of neutrophils with macrophages, as well as the downstream effects on T cell activity, could result in a range of outcomes from early clearance of infection to dissemination of viable bacteria together with an attenuated acquired immune response.
References
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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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C4.5: Programs for Machine Learning
TL;DR: A complete guide to the C4.5 system as implemented in C for the UNIX environment, which starts from simple core learning methods and shows how they can be elaborated and extended to deal with typical problems such as missing data and over hitting.
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An introduction to variable and feature selection
Isabelle Guyon,André Elisseeff +1 more
TL;DR: The contributions of this special issue cover a wide range of aspects of variable selection: providing a better definition of the objective function, feature construction, feature ranking, multivariate feature selection, efficient search methods, and feature validity assessment methods.
Book
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
TL;DR: This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory, and will guide practitioners to updated literature, new applications, and on-line software.