Classification of gene-expression data: The manifold-based metric learning way

Authors:
Jianguo Lee;Changshui Zhang
Affiliations:
National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, 100084, China;National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, 100084, China
Venue:
Pattern Recognition
Year:
2006

Citing 20
Cited 6

The nature of statistical learning theory

The nature of statistical learning theory
Discriminant Adaptive Nearest Neighbor Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence
The Random Subspace Method for Constructing Decision Forests

IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to Monte Carlo methods

Learning in graphical models
Performance Evaluation of the Nearest Feature Line Method in Image Classification and Retrieval

IEEE Transactions on Pattern Analysis and Machine Intelligence
Modern Differential Geometry of Curves and Surfaces with Mathematica

Modern Differential Geometry of Curves and Surfaces with Mathematica
Feature Selection for Knowledge Discovery and Data Mining

Feature Selection for Knowledge Discovery and Data Mining
Random Forests

Machine Learning
A Practical Approach to Feature Selection

ML '92 Proceedings of the Ninth International Workshop on Machine Learning
Combining Nearest Neighbor Classifiers Through Multiple Feature Subsets

ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Efficient Pattern Recognition Using a New Transformation Distance

Advances in Neural Information Processing Systems 5, [NIPS Conference]
Distance Metrics for Instance-Bsed Learning

ISMIS '91 Proceedings of the 6th International Symposium on Methodologies for Intelligent Systems
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining

IEEE Transactions on Knowledge and Data Engineering
Probabilistic tangent subspace: a unified view

ICML '04 Proceedings of the twenty-first international conference on Machine learning
Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction

Bioinformatics
Superior feature-set ranking for small samples using bolstered error estimation

Bioinformatics
Estimating misclassification error with small samples via bootstrap cross-validation

Bioinformatics
An Alternative Perspective on Adaptive Independent Component Analysis Algorithms

Neural Computation
Parametric distance metric learning with label information

IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Face recognition using the nearest feature line method

IEEE Transactions on Neural Networks

Improving geodesic distance estimation based on locally linear assumption

Pattern Recognition Letters
Supervised locally linear embedding with probability-based distance for classification

Computers & Mathematics with Applications
Incremental alignment manifold learning

Journal of Computer Science and Technology - Special issue on natural language processing
Gene expression data classification based on improved semi-supervised local Fisher discriminant analysis

Expert Systems with Applications: An International Journal
Gene Classification Using Parameter-Free Semi-Supervised Manifold Learning

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Avoiding the interpolation inaccuracy in nearest feature line classifier by spectral feature analysis

Pattern Recognition Letters

Quantified Score

Hi-index	0.01

Visualization

Abstract

The annotation of proteins can be achieved by classifying the protein of interest into a certain known protein family to induce its functional and structural features. This paper presents a new method for classifying protein sequences based upon the ...