Using Similarity Software to Evaluate Scientific Paper Quality Is a Big Mistake

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ISSN Print: 2150-4091
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"Using Similarity Software to Evaluate Scientific Paper Quality Is a Big Mistake"
written by Kuo-Chen Chou,
published by Natural Science, Vol.12 No.3, 2020

has been cited by the following article(s):

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[1]	DNA methylation prediction using reduced features obtained via Gappy Pair Kernel and Partial Least Square
	IEEE …, 2022

[2]	Lasso regression under stochastic restrictions in linear regression: An application to genomic data
	Communications in Statistics-Theory and …, 2022

[3]	The significant and profound impacts of Gordon life science institute
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[4]	The Remarkable impacts of Gordon life science institute
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[5]	iDRP-PseAAC: Identification of DNA Replication Proteins Using General PseAAC and Position Dependent Features
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[6]	Analisis Kesulitan Guru SD di Lombok Utara dalam Penyusunan Karya Ilmiah
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[7]	The Development of Gordon Life Science Institute: Its Driving Force and Accomplishments
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[8]	pLoc_Deep-mHum: Predict Subcellular Localization of Human Proteins by Deep Learning
	2020

[9]	Use Chou's 5-steps rule to predict remote homology proteins by merging grey incidence analysis and domain similarity analysis
	2020

[10]	Use Chou's 5-steps rule to identify DNase I hypersensitive sites via dinucleotide property matrix and extreme gradient boosting
	2020

[11]	pLoc_Deep-mAnimal: A Novel Deep CNN-BLSTM Network to Predict Subcellular Localization of Animal Proteins
	2020

[12]	pLoc_Deep-mGpos: Predict Subcellular Localization of Gram Positive Bacteria Proteins by Deep Learning
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[13]	pLoc_Deep-mGneg: Predict Subcellular Localization of Gram Negative Bacterial Proteins by Deep Learning
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[14]	pLoc_Deep-mPlant: Predict Subcellular Localization of Plant Proteins by Deep Learning
	2020

[15]	iATC_Deep-mISF: A Multi-Label Classifier for Predicting the Classes of Anatomical Therapeutic Chemicals by Deep Learning
	2020

[1]	Lasso regression under stochastic restrictions in linear regression: An application to genomic data Communications in Statistics - Theory and Methods, 2024 DOI:10.1080/03610926.2022.2149243

[2]	DNA Methylation Prediction Using Reduced Features Obtained via Gappy Pair Kernel and Partial Least Square IEEE Access, 2022 DOI:10.1109/ACCESS.2022.3174260

[3]	Lasso regression under stochastic restrictions in linear regression: An application to genomic data Communications in Statistics - Theory and Methods, 2022 DOI:10.1080/03610926.2022.2149243

[4]	DNA Methylation Prediction Using Reduced Features Obtained via Gappy Pair Kernel and Partial Least Square IEEE Access, 2022 DOI:10.1109/ACCESS.2022.3174260

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