Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Learning complicated concepts reliably and usefully
COLT '88 Proceedings of the first annual workshop on Computational learning theory
Machine Learning
Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks
Class discovery in gene expression data
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
Cancer classification using gene expression data
Information Systems - Special issue: Data management in bioinformatics
Classification of heterogeneous gene expression data
ACM SIGKDD Explorations Newsletter
Genetic Programming and Evolvable Machines
A rank sum test method for informative gene discovery
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Variable selection and ranking for analyzing automobile traffic accident data
Proceedings of the 2005 ACM symposium on Applied computing
Clustering mixed numerical and low quality categorical data: significance metrics on a yeast example
Proceedings of the 2nd international workshop on Information quality in information systems
Robust and Accurate Cancer Classification with Gene Expression Profiling
CSB '05 Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference
Predictive neural networks for gene expression data analysis
Neural Networks
Minimum cost spanning tree situations and gene expression data analysis
GameNets '06 Proceeding from the 2006 workshop on Game theory for communications and networks
Pattern classification in DNA microarray data of multiple tumor types
Pattern Recognition
Data Mining and Knowledge Discovery
Selection of relevant genes in cancer diagnosis based on their prediction accuracy
Artificial Intelligence in Medicine
Learning Coordinate Covariances via Gradients
The Journal of Machine Learning Research
Estimation of Gradients and Coordinate Covariation in Classification
The Journal of Machine Learning Research
Bi-level clustering of mixed categorical and numerical biomedical data
International Journal of Data Mining and Bioinformatics
Belief Combination for Uncertainty Reduction in Microarray Gene Expression Pattern Analysis
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Gene expression data classification based on non-negative matrix factorization
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Improved variable and value ranking techniques for mining categorical traffic accident data
Expert Systems with Applications: An International Journal
Artificial immune system for classification of gene expression data
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Artificial immune system for classification of cancer
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Manifestation and exploitation of invariants in bioinformatics
AB'07 Proceedings of the 2nd international conference on Algebraic biology
Approximating border length for DNA microarray synthesis
TAMC'08 Proceedings of the 5th international conference on Theory and applications of models of computation
Support vector-based feature selection using Fisher's linear discriminant and Support Vector Machine
Expert Systems with Applications: An International Journal
Robust approach for estimating probabilities in Naïve-Bayes Classifier for gene expression data
Expert Systems with Applications: An International Journal
A Weighted Principal Component Analysis and Its Application to Gene Expression Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Expert Systems with Applications: An International Journal
Molecular Pattern Discovery Based on Penalized Matrix Decomposition
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A distance-based branch and bound feature selection algorithm
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Permutation tests for classification
COLT'05 Proceedings of the 18th annual conference on Learning Theory
OVA scheme vs. single machine approach in feature selection for microarray datasets
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
A multi-information based gene scoring method for analysis of gene expression data
Transactions on Computational Systems Biology V
Acute leukemia classification by ensemble particle swarm model selection
Artificial Intelligence in Medicine
Hardness and approximation of the asynchronous border minimization problem
TAMC'12 Proceedings of the 9th Annual international conference on Theory and Applications of Models of Computation
Domains of competence of the semi-naive Bayesian network classifiers
Information Sciences: an International Journal
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Classification of patient samples is a crucial aspect of cancer diagnosis and treatment. We present a method for classifying samples by computational analysis of gene expression data. We consider the classification problem in two parts: class discovery and class prediction. Class discovery refers to the process of dividing samples into reproducible classes that have similar behavior or properties, while class prediction places new samples into already known classes. We describe a method for performing class prediction and illustrate its strength by correctly classifying bone marrow and blood samples from acute leukemia patients. We also describe how to use our predictor to validate newly discovered classes, and we demonstrate how this technique could have discovered the key distinctions among leukemias if they were not already known. This proof-of-concept experiment paves the way for a wealth of future work on the molecular classification and understanding of disease.