Journal ArticleDOI
Minimum redundancy feature selection from microarray gene expression data.
Chris Ding,Hanchuan Peng +1 more
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How to selecting a small subset out of the thousands of genes in microarray data is important for accurate classification of phenotypes.Abstract:Â
How to selecting a small subset out of the thousands of genes in microarray data is important for accurate classification of phenotypes. Widely used methods typically rank genes according to their ...read more
Citations
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Proceedings ArticleDOI
Online feature selection for mining big data
TL;DR: This work investigates the problem of Online Feature Selection (OFS) in which the online learner is only allowed to maintain a classifier involved a small and fixed number of features, and presents an effective algorithm to solve the problem, and gives the theoretical analysis and empirical performance of the proposed algorithms.
Data mining and compression : where to apply it and what are the effects?
TL;DR: In this article, the authors investigate the effects of selecting features, learning, and making predictions from data that has been compressed using lossy transformations, and propose a specialised feature selection approach that considers predictive performance alongside compressibility, measured by compressing them individually or in a single concatenated stream.
Proceedings ArticleDOI
Unsupervised Streaming Feature Selection in Social Media
TL;DR: This paper investigates how to exploit link information in streaming feature selection, resulting in a novel unsupervised streaming feature Selection framework USFS, and shows the effectiveness and efficiency of the proposed framework comparing with the state-of-the-art un supervised feature selection algorithms.
Journal ArticleDOI
Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques.
Moajjem Hossain Chowdhury,Nazmul Islam Shuzan,Muhammad E. H. Chowdhury,Zaid Bin Mahbub,M. Monir Uddin,Amith Khandakar,Amith Khandakar,Mamun Bin Ibne Reaz +7 more
TL;DR: In this paper, a cuff-less continuous, and noninvasive BP measurement system is proposed using the photoplethysmograph (PPG) signal and demographic features using machine learning (ML) algorithms.
Journal ArticleDOI
Predicting cancer outcomes with radiomics and artificial intelligence in radiology.
Kaustav Bera,Kaustav Bera,Nathaniel Braman,Amit Gupta,Amit Gupta,Vamsidhar Velcheti,Anant Madabhushi +6 more
TL;DR: In this article, the authors discuss the next generation of challenges in clinical decision-making that AI tools can solve using radiology images, such as prognostication of outcome across multiple cancers, prediction of response to various treatment modalities, discrimination of benign treatment confounders from true progression, identification of unusual response patterns and prediction of the mutational and molecular profile of tumours.
References
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Journal ArticleDOI
Molecular classification of cancer: class discovery and class prediction by gene expression monitoring.
Todd R. Golub,Todd R. Golub,Donna K. Slonim,Pablo Tamayo,Christine Huard,Michelle Gaasenbeek,Jill P. Mesirov,Hilary A. Coller,Mignon L. Loh,James R. Downing,Michael A. Caligiuri,Clara D. Bloomfield,Eric S. Lander +12 more
TL;DR: A generic approach to cancer classification based on gene expression monitoring by DNA microarrays is described and applied to human acute leukemias as a test case and suggests a general strategy for discovering and predicting cancer classes for other types of cancer, independent of previous biological knowledge.
Journal ArticleDOI
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
Ash A. Alizadeh,Michael B. Eisen,R. Eric Davis,Izidore S. Lossos,Andreas Rosenwald,Jennifer C. Boldrick,Hajeer Sabet,Truc Tran,Xin Yu,John Powell,Liming Yang,Gerald E. Marti,Troy Moore,James I. Hudson,Li-Sheng Lu,David B. Lewis,Robert Tibshirani,Gavin Sherlock,Wing C. Chan,Timothy C. Greiner,Dennis D. Weisenburger,James O. Armitage,Roger A. Warnke,Ronald Levy,Wyndham H. Wilson,M. R. Grever,John C. Byrd,David Botstein,Patrick O. Brown,Louis M. Staudt +29 more
TL;DR: It is shown that there is diversity in gene expression among the tumours of DLBCL patients, apparently reflecting the variation in tumour proliferation rate, host response and differentiation state of the tumour.
Journal ArticleDOI
Wrappers for feature subset selection
Ron Kohavi,George H. John +1 more
TL;DR: The wrapper method searches for an optimal feature subset tailored to a particular algorithm and a domain and compares the wrapper approach to induction without feature subset selection and to Relief, a filter approach tofeature subset selection.
Journal ArticleDOI
A comparison of methods for multiclass support vector machines
Hsu Chih-Wei,Chih-Jen Lin +1 more
TL;DR: Decomposition implementations for two "all-together" multiclass SVM methods are given and it is shown that for large problems methods by considering all data at once in general need fewer support vectors.
Journal ArticleDOI
Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays.
Uri Alon,Naama Barkai,Daniel A. Notterman,Kurt C. Gish,S. Ybarra,David H. Mack,A. J. Levine,A. J. Levine +7 more
TL;DR: In this paper, a two-way clustering algorithm was applied to both the genes and the tissues, revealing broad coherent patterns that suggest a high degree of organization underlying gene expression in these tissues.