A ground truth based comparative study on clustering of gene expression data

Frontiers in Bioscience ◽

10.2741/2972 ◽

2008 ◽

Vol Volume (13) ◽

pp. 3839 ◽

Author(s):

Yitan Zhu

Keyword(s):

Gene Expression ◽

Comparative Study ◽

Gene Expression Data ◽

Ground Truth ◽

Expression Data

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A07 A comparative study on blood and brain hd signatures: comparing mouse and human hd gene expression data

10.1136/jnnp-2018-ehdn.7 ◽

2018 ◽

Author(s):

Eleni Mina ◽

Lodewijk Toonen ◽

Elsa Kuijper ◽

Melvin Evers ◽

Marco Roos ◽

...

Keyword(s):

Gene Expression ◽

Comparative Study ◽

Gene Expression Data ◽

Expression Data ◽

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Analysis and visualization of gene expression data using biclustering: A comparative study

AFRICAN JOURNAL OF BIOTECHNOLOGY ◽

10.5897/ajb10.1523 ◽

2012 ◽

Vol 11 (7) ◽

Author(s):

Fadhl M. Al-Akwaa

Keyword(s):

Gene Expression ◽

Comparative Study ◽

Gene Expression Data ◽

Expression Data

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A comparative study on the regularized versions of discriminant analysis: An application to gene expression data

African Journal of Applied Statistics ◽

10.16929/ajas/273.215 ◽

2017 ◽

Vol 4 (1) ◽

pp. 273-286

Author(s):

Olusola Samuel Makinde

Keyword(s):

Gene Expression ◽

Discriminant Analysis ◽

Comparative Study ◽

Gene Expression Data ◽

Expression Data

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A Comparative Study of Gene-Expression Data of Basal Cell Carcinoma and Melanoma Reveals New Insights about the Two Cancers

PLoS ONE ◽

10.1371/journal.pone.0030750 ◽

2012 ◽

Vol 7 (1) ◽

pp. e30750 ◽

Author(s):

Kun Xu ◽

Xizeng Mao ◽

Minesh Mehta ◽

Juan Cui ◽

Chi Zhang ◽

...

Keyword(s):

Gene Expression ◽

Basal Cell Carcinoma ◽

Comparative Study ◽

Cell Carcinoma ◽

Gene Expression Data ◽

Expression Data

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A comparative study of different machine learning methods on microarray gene expression data

BMC Genomics ◽

10.1186/1471-2164-9-s1-s13 ◽

2008 ◽

Vol 9 (Suppl 1) ◽

pp. S13 ◽

Author(s):

Mehdi Pirooznia ◽

Jack Y Yang ◽

Mary Qu Yang ◽

Youping Deng

Keyword(s):

Gene Expression ◽

Machine Learning ◽

Comparative Study ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Learning Methods ◽

Microarray Gene Expression ◽

Machine Learning Methods ◽

Microarray Gene

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Comparative Study of Disease Classification Using Multiple Machine Learning Models Based on Landmark and Non-Landmark Gene Expression Data

Procedia Computer Science ◽

10.1016/j.procs.2021.05.028 ◽

2021 ◽

Vol 185 ◽

pp. 264-273

Author(s):

Xiaoqin Huang ◽

Jian Sun ◽

Satish Mahadevan Srinivasan ◽

Raghvinder S Sangwan

Keyword(s):

Gene Expression ◽

Machine Learning ◽

Comparative Study ◽

Gene Expression Data ◽

Disease Classification ◽

Expression Data ◽

Learning Models ◽

Machine Learning Models

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Peer Review #3 of "A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data (v0.1)"

10.7287/peerj-cs.270v0.1/reviews/3 ◽

2020 ◽

Author(s):

MM Zegarra Pimenta

Keyword(s):

Gene Expression ◽

Machine Learning ◽

Deep Learning ◽

Comparative Study ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Cancer Types ◽

Microarray Gene

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Methods for Evaluating Agglomerative Hierarchical Clustering for Gene Expression Data: A Comparative Study

Computational Biology and Bioinformatics ◽

10.11648/j.cbb.20150306.12 ◽

2015 ◽

Vol 3 (6) ◽

pp. 88 ◽

Author(s):

Md. Bipul Hossen

Keyword(s):

Gene Expression ◽

Comparative Study ◽

Hierarchical Clustering ◽

Gene Expression Data ◽

Expression Data ◽

Agglomerative Hierarchical Clustering

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Peer Review #1 of "A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data (v0.1)"

10.7287/peerj-cs.270v0.1/reviews/1 ◽

2020 ◽

Keyword(s):

Gene Expression ◽

Machine Learning ◽

Deep Learning ◽

Comparative Study ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Cancer Types ◽

Microarray Gene

Download Full-text

Peer Review #3 of "A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data (v0.2)"

10.7287/peerj-cs.270v0.2/reviews/3 ◽

2020 ◽

Author(s):

MM Zegarra Pimenta

Keyword(s):

Gene Expression ◽

Machine Learning ◽

Deep Learning ◽

Comparative Study ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Cancer Types ◽

Microarray Gene

Download Full-text