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 ◽

Cited By ~ 7

Author(s):

Marcilio C. P. de Souto ◽

Ana C. Lorena ◽

Newton Spolaor ◽

Ivan G. Costa

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Cancer Gene ◽

Expression Data ◽

Complexity Measures

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Using Supervised Complexity Measures in the Analysis of Cancer Gene Expression Data Sets

Advances in Bioinformatics and Computational Biology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-03223-3_5 ◽

2009 ◽

pp. 48-59 ◽

Cited By ~ 3

Author(s):

Ivan G. Costa ◽

Ana C. Lorena ◽

Liciana R. M. P. y Peres ◽

Marcilio C. P. de Souto

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Data Sets ◽

Cancer Gene ◽

Expression Data ◽

Complexity Measures

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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 ◽

Author(s):

Nimrita Koul ◽

Sunilkumar S Manvi

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Mutual Information ◽

Gene Expression Data ◽

Recursive Feature Elimination ◽

Cancer Gene ◽

Expression Data

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A Case Study on Disease Diagnosis Using Gene Expression Data Classification with Feature Selection: Application of Data Science Techniques in Health Care

Data Science and Its Applications ◽

10.1201/9781003102380-12 ◽

2021 ◽

pp. 239-254

Author(s):

Abhilasha Chaudhuri ◽

Tirath Prasad Sahu

Keyword(s):

Gene Expression ◽

Health Care ◽

Feature Selection ◽

Gene Expression Data ◽

Data Science ◽

Data Classification ◽

Disease Diagnosis ◽

Expression Data

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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 ◽

Expression Data

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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

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Big data e dados púbicos de expressão gênica aplicações na pesquisa biomédica e estudo de caso em doenças tromboembólicas = Big data and public gene expression data: applications in biomedical research and case study in thromboembolic diseases

10.47749/t/unicamp.2019.1093579 ◽

2019 ◽

Author(s):

Rafaela Benatti de Oliveira

Keyword(s):

Gene Expression ◽

Big Data ◽

Gene Expression Data ◽

Biomedical Research ◽

Expression Data

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Coupled two-way clustering analysis of breast cancer and colon cancer gene expression data

Bioinformatics ◽

10.1093/bioinformatics/btf876 ◽

2003 ◽

Vol 19 (9) ◽

pp. 1079-1089 ◽

Cited By ~ 41

Author(s):

G. Getz ◽

H. Gal ◽

I. Kela ◽

D. A. Notterman ◽

E. Domany

Keyword(s):

Breast Cancer ◽

Gene Expression ◽

Colon Cancer ◽

Gene Expression Data ◽

Clustering Analysis ◽

Cancer Gene ◽

Expression Data

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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 (4) ◽

pp. e10162 ◽

Cited By ~ 39

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 ◽

Author(s):

Rattikorn Hewett ◽

Ali Goksu ◽

Soma Datta

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Cancer Gene ◽

Expression Data

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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

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