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Informative Gene Discovery for Cancer Classification from Microarray Expression Data
2005 IEEE Workshop on Machine Learning for Signal Processing
◽
10.1109/mlsp.2005.1532935
◽
2006
◽
Cited By ~ 4
Author(s):
Manfred Ng
◽
Laiwan Chan
Keyword(s):
Gene Discovery
◽
Cancer Classification
◽
Expression Data
◽
Informative Gene
◽
Microarray Expression Data
◽
Microarray Expression
Download Full-text
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References
Ensemble feature selection for stable biomarker identification and cancer classification from microarray expression data
Computers in Biology and Medicine
◽
10.1016/j.compbiomed.2021.105208
◽
2022
◽
pp. 105208
Author(s):
Aiguo Wang
◽
Huanchen Liu
◽
Jing Yang
◽
Guilin Chen
Keyword(s):
Feature Selection
◽
Cancer Classification
◽
Expression Data
◽
Biomarker Identification
◽
Microarray Expression Data
◽
Selection For
◽
Microarray Expression
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Feature Selection for Cancer Classification on Microarray Expression Data
2008 Eighth International Conference on Intelligent Systems Design and Applications
◽
10.1109/isda.2008.198
◽
2008
◽
Cited By ~ 1
Author(s):
Hui-Huang Hsu
◽
Ming-Da Lu
Keyword(s):
Feature Selection
◽
Cancer Classification
◽
Expression Data
◽
Microarray Expression Data
◽
Selection For
◽
Microarray Expression
Download Full-text
Granular SVM-RFE Gene Selection Algorithm for Reliable Prostate Cancer Classification on Microarray Expression Data
Fifth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'05)
◽
10.1109/bibe.2005.34
◽
2006
◽
Cited By ~ 8
Author(s):
Yuchun Tang
◽
Yan-Qing Zhang
◽
Zhen Huang
◽
Xiaohua Hu
Keyword(s):
Prostate Cancer
◽
Gene Selection
◽
Cancer Classification
◽
Expression Data
◽
Selection Algorithm
◽
Microarray Expression Data
◽
Microarray Expression
◽
Gene Selection Algorithm
◽
Prostate Cancer Classification
Download Full-text
Optimization models for cancer classification: extracting gene interaction information from microarray expression data
Bioinformatics
◽
10.1093/bioinformatics/btg462
◽
2004
◽
Vol 20
(5)
◽
pp. 644-652
◽
Cited By ~ 43
Author(s):
A. V. Antonov
◽
I. V. Tetko
◽
M. T. Mader
◽
J. Budczies
◽
H. W. Mewes
Keyword(s):
Gene Interaction
◽
Cancer Classification
◽
Optimization Models
◽
Expression Data
◽
Interaction Information
◽
Microarray Expression Data
◽
Microarray Expression
Download Full-text
Faculty Opinions recommendation of A global meta-analysis of microarray expression data to predict unknown gene functions and estimate the literature-data divide.
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
◽
10.3410/f.1162449.623967
◽
2009
◽
Author(s):
Nicola Mulder
Keyword(s):
Meta Analysis
◽
Expression Data
◽
Microarray Expression Data
◽
Gene Functions
◽
Unknown Gene
◽
Microarray Expression
Download Full-text
An empirical study of supervised learning for biological sequence profiling and microarray expression data analysis
2008 IEEE International Conference on Information Reuse and Integration
◽
10.1109/iri.2008.4583007
◽
2008
◽
Author(s):
Abu H. M. Kamal
◽
Xingquan Zhu
◽
Abhijit S. Pandya
◽
Sam Hsu
◽
Yong Shi
Keyword(s):
Data Analysis
◽
Empirical Study
◽
Supervised Learning
◽
Expression Data
◽
Biological Sequence
◽
Microarray Expression Data
◽
Microarray Expression
Download Full-text
LipGene: Lipschitz continuity guided adaptive learning rates for fast convergence on Microarray Expression Data Sets
IEEE/ACM Transactions on Computational Biology and Bioinformatics
◽
10.1109/tcbb.2021.3110516
◽
2021
◽
pp. 1-1
Author(s):
Tejas Prashanth
◽
Snehanshu Saha
◽
Sumedh Basarkod
◽
Suraj Aralihalli
◽
Soma S Dhavala
◽
...
Keyword(s):
Adaptive Learning
◽
Lipschitz Continuity
◽
Fast Convergence
◽
Data Sets
◽
Expression Data
◽
Microarray Expression Data
◽
Learning Rates
◽
Microarray Expression
Download Full-text
Finite mixture model analysis of microarray expression data on samples of uncertain biological type with application to reproductive efficiency
Veterinary Immunology and Immunopathology
◽
10.1016/j.vetimm.2005.02.008
◽
2005
◽
Vol 105
(3-4)
◽
pp. 187-196
◽
Cited By ~ 3
Author(s):
Nan Bing
◽
Ina Hoeschele
◽
Keying Ye
◽
Kenneth J. Eilertsen
Keyword(s):
Mixture Model
◽
Finite Mixture Model
◽
Model Analysis
◽
Finite Mixture
◽
Reproductive Efficiency
◽
Expression Data
◽
Microarray Expression Data
◽
Microarray Expression
Download Full-text
Analysis of microarray expression data
Genome Biology
◽
10.1186/gb-2000-1-1-reports226
◽
2000
◽
Vol 1
(1)
◽
Cited By ~ 1
Author(s):
Paul Kellam
Keyword(s):
Expression Data
◽
Microarray Expression Data
◽
Microarray Expression
Download Full-text
Digging for Significant Genes in Microarray Expression Data Based on Systematic Sampling and Hierarchal Clustering Algorithm
GeNeDis 2020 - Advances in Experimental Medicine and Biology
◽
10.1007/978-3-030-78775-2_1
◽
2021
◽
pp. 1-6
Author(s):
Nwayyin N. Mohammed
Keyword(s):
Clustering Algorithm
◽
Systematic Sampling
◽
Expression Data
◽
Microarray Expression Data
◽
Microarray Expression
Download Full-text
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