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Uncovering informative genes from colon cancer gene expression data via multi-step clustering based on generalized SOMs with splitting-merging structures
2019 IEEE Symposium Series on Computational Intelligence (SSCI)
◽
10.1109/ssci44817.2019.9002933
◽
2019
◽
Author(s):
Marian B. Gorzalczany
◽
Jakub Piekoszewski
◽
Filip Rudzinski
Keyword(s):
Gene Expression
◽
Colon Cancer
◽
Gene Expression Data
◽
Cancer Gene
◽
Expression Data
Download Full-text
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10.1093/bioinformatics/btf876
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2003
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pp. 1079-1089
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H. Gal
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Ensemble Feature Selection from Cancer Gene Expression Data using Mutual Information and Recursive Feature Elimination
2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)
◽
10.1109/icaecc50550.2020.9339518
◽
2020
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Author(s):
Nimrita Koul
◽
Sunilkumar S Manvi
Keyword(s):
Gene Expression
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Feature Selection
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Mutual Information
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Gene Expression Data
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Cancer Gene
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Nature-inspired multiobjective patient stratification from cancer gene expression data
Information Sciences
◽
10.1016/j.ins.2020.03.095
◽
2020
◽
Vol 526
◽
pp. 245-262
Author(s):
Yunhe Wang
◽
Zhiqiang Ma
◽
Ka-Chun Wong
◽
Xiangtao Li
Keyword(s):
Gene Expression
◽
Gene Expression Data
◽
Patient Stratification
◽
Cancer Gene
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Investigating a Breast Cancer Gene Expression Data Using a Novel Clustering Approach
2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
◽
10.1109/ieem44572.2019.8978949
◽
2019
◽
Author(s):
L. M. Naeni
◽
A. Salehipour
Keyword(s):
Breast Cancer
◽
Gene Expression
◽
Gene Expression Data
◽
Cancer Gene
◽
Expression Data
◽
Clustering Approach
◽
Breast Cancer Gene
Download Full-text
Complexity measures of supervised classifications tasks: A case study for cancer gene expression data
The 2010 International Joint Conference on Neural Networks (IJCNN)
◽
10.1109/ijcnn.2010.5596305
◽
2010
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Author(s):
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◽
Ana C. Lorena
◽
Newton Spolaor
◽
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Keyword(s):
Gene Expression
◽
Gene Expression Data
◽
Cancer Gene
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Complexity Measures
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Module Network Inference from a Cancer Gene Expression Data Set Identifies MicroRNA Regulated Modules
PLoS ONE
◽
10.1371/journal.pone.0010162
◽
2010
◽
Vol 5
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◽
pp. e10162
◽
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Author(s):
Eric Bonnet
◽
Marianthi Tatari
◽
Anagha Joshi
◽
Tom Michoel
◽
Kathleen Marchal
◽
...
Keyword(s):
Gene Expression
◽
Gene Expression Data
◽
Network Inference
◽
Cancer Gene
◽
Expression Data
◽
Data Set
◽
Module Network
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From cancer gene expression data to simple vital rules
2006 IEEE Region 5 Conference
◽
10.1109/tpsd.2006.5507407
◽
2006
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Author(s):
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◽
Ali Goksu
◽
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Gene Expression
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Cancer Gene
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Consensus Clustering for Cancer Gene Expression Data - Large-Scale Analysis using Evidence Accumulation Approach
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies
◽
10.5220/0006174501760183
◽
2017
◽
Author(s):
Isidora Šašić
◽
Sanja Brdar
◽
Tatjana Lončar-Turukalo
◽
Helena Aidos
◽
Ana Fred
Keyword(s):
Gene Expression
◽
Gene Expression Data
◽
Large Scale
◽
Consensus Clustering
◽
Cancer Gene
◽
Expression Data
◽
Scale Analysis
◽
Evidence Accumulation
◽
Large Scale Analysis
Download Full-text
MSVD-MOEB algorithm applied to cancer gene expression data
2015 IEEE 7th International Conference on Awareness Science and Technology (iCAST)
◽
10.1109/icawst.2015.7314032
◽
2015
◽
Author(s):
Duo Wang
◽
Hongjun Zheng
Keyword(s):
Gene Expression
◽
Gene Expression Data
◽
Cancer Gene
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Expression Data
Download Full-text
Framework for classification of cancer gene expression data using Bayesian hyper-parameter optimization
Medical & Biological Engineering & Computing
◽
10.1007/s11517-021-02442-7
◽
2021
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Author(s):
Nimrita Koul
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Sunilkumar S. Manvi
Keyword(s):
Gene Expression
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Gene Expression Data
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Parameter Optimization
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Cancer Gene
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Expression Data
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