"The Problem of Elsevier Series Journals Online Submission by Using Artificial Intelligence"
written by Kuo-Chen Chou,
published by Natural Science, Vol.12 No.2, 2020
has been cited by the following article(s):
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[1] iATC_Deep-mISF: A Multi-Label Classifier for Predicting the Classes of Anatomical Therapeutic Chemicals by Deep Learning
2020
[2] How the artificial intelligence tool iHyd-PseAAC is working in predicting the hydroxyproline and hydroxylysine in proteins
2020
[3] How the artificial intelligence tool pSumo-CD is working for predicting sumoylation sites in pro-teins
2020
[4] pLoc_Deep-mPlant: Predict Subcellular Localization of Plant Proteins by Deep Learning
2020
[5] pLoc_Deep-mGpos: Predict Subcellular Localization of Gram Positive Bacteria Proteins by Deep Learning
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[6] A Call for a More Efficient Submission Process
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[7] pLoc_Deep-mAnimal: A Novel Deep CNN-BLSTM Network to Predict Subcellular Localization of Animal Proteins
2020
[8] How the artificial intelligence tool iPGK-PseAAC is working in predicting lysine phosphoglycerylation sites in proteins
2020
[9] Use Chou's 5-steps rule to predict remote homology proteins by merging grey incidence analysis and domain similarity analysis
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[10] pLoc_Deep-mHum: Predict Subcellular Localization of Human Proteins by Deep Learning
2020
[11] The Development of Gordon Life Science Institute: Its Driving Force and Accomplishments
2020
[12] pLoc_Deep-mGneg: Predict Subcellular Localization of Gram Negative Bacterial Proteins by Deep Learning
2020
[13] Showcase to Illustrate how the Web-Server Psuc-Lys is Working
[14] How the artificial intelligence tool pSumo-CD is working for predicting sumoylation sites in proteins Kuo-Chen Chou