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)"

Mapping Intimacies ◽

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

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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

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

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

10.7287/peerj-cs.270v0.3/reviews/2 ◽

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 #1 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/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 (v0.3)"

10.7287/peerj-cs.270v0.3/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

Peer Review #2 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/2 ◽

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

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 ◽

Cited By ~ 111

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

Download Full-text

A Machine Learning-Based Comparative Study for the Classification of Septic Shock Using Microarray Gene Expression Data

2019 International Conference on Frontiers of Information Technology (FIT) ◽

10.1109/fit47737.2019.00022 ◽

2019 ◽

Author(s):

Arslan Ali ◽

Ayesha Hanif ◽

Arsalan Tahir ◽

Hafiz Umar Iftikhar ◽

Huma Shehwana ◽

...

Keyword(s):

Gene Expression ◽

Machine Learning ◽

Septic Shock ◽

Comparative Study ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene

Download Full-text

Microarray Gene Expression Data for Detection Alzheimer’s Disease Using k-means and Deep Learning

2021 7th International Engineering Conference “Research & Innovation amid Global Pandemic" (IEC) ◽

10.1109/iec52205.2021.9476128 ◽

2021 ◽

Author(s):

Heba M. AL-Bermany ◽

Sura Z. AL-Rashid

Keyword(s):

Gene Expression ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Deep Learning ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene

Download Full-text

Studying Microarray Gene Expression Data of Schizophrenic Patients for Derivation of a Diagnostic Signature through the Aid of Machine Learning

Biometrics & Biostatistics International Journal ◽

10.15406/bbij.2016.04.00106 ◽

2016 ◽

Vol 4 (5) ◽

Author(s):

Aristotelis Chatziioannou

Keyword(s):

Gene Expression ◽

Machine Learning ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Diagnostic Signature ◽

Schizophrenic Patients ◽

Microarray Gene

Download Full-text