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Natural Science

Natural Science

Natural Science

ISSN Print: 2150-4091
ISSN Online: 2150-4105
www.scirp.org/journal/ns
E-mail: ns@scirp.org
"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):
  • Google Scholar
  • CrossRef
[1] The significant and profound impacts of Gordon life science institute
2021
[2] The Remarkable impacts of Gordon life science institute
2021
[3] iDRP-PseAAC: Identification of DNA Replication Proteins Using General PseAAC and Position Dependent Features
2021
[4] Pathological analysis of hesperetin-derived small cell lung cancer by artificial intelligence technology under fiberoptic bronchoscopy
Mathematical Biosciences and Engineering, 2021
[5] The Development of Gordon Life Science Institute: Its Driving Force and Accomplishments
2020
[6] pLoc_Deep-mHum: Predict Subcellular Localization of Human Proteins by Deep Learning
2020
[7] Use Chou's 5-steps rule to predict remote homology proteins by merging grey incidence analysis and domain similarity analysis
2020
[8] How the artificial intelligence tool iPGK-PseAAC is working in predicting lysine phosphoglycerylation sites in proteins
2020
[9] pLoc_Deep-mAnimal: A Novel Deep CNN-BLSTM Network to Predict Subcellular Localization of Animal Proteins
2020
[10] A Call for a More Efficient Submission Process
2020
[11] pLoc_Deep-mGpos: Predict Subcellular Localization of Gram Positive Bacteria Proteins by Deep Learning
2020
[12] Showcase to Illustrate how the Web-Server Psuc-Lys is Working
2020
[13] pLoc_Deep-mGneg: Predict Subcellular Localization of Gram Negative Bacterial Proteins by Deep Learning
2020
[14] How the artificial intelligence tool pSumo-CD is working for predicting sumoylation sites in proteins Kuo-Chen Chou
2020
[15] pLoc_Deep-mPlant: Predict Subcellular Localization of Plant Proteins by Deep Learning
2020
[16] How the artificial intelligence tool pSumo-CD is working for predicting sumoylation sites in pro-teins
2020
[17] How the artificial intelligence tool iHyd-PseAAC is working in predicting the hydroxyproline and hydroxylysine in proteins
2020
[18] iATC_Deep-mISF: A Multi-Label Classifier for Predicting the Classes of Anatomical Therapeutic Chemicals by Deep Learning
2020
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