Natural Science

Volume 12, Issue 4 (April 2020)

ISSN Print: 2150-4091   ISSN Online: 2150-4105

Google-based Impact Factor: 2.51  Citations  h5-index & Ranking

The Development of Gordon Life Science Institute: Its Driving Force and Accomplishments

HTML  XML Download Download as PDF (Size: 885KB)  PP. 202-217  
DOI: 10.4236/ns.2020.124018    264 Downloads   444 Views   Citations
Author(s)

ABSTRACT

Established in 2004, Gordon Life Science Institute is the first Internet Research Institute in the world. It is a non-profit institute, a gift to science. Those scientists, who are really loving science more than anything else and have shown fantastic creativity in science, can become the membership of such Institute. Their driving force is not funding but firmly belief that scientists will do much better science if they do not have to spend a lot of time for funding application, and that great scientific findings in history were often discovered by those who were without funding at all but driven by profound imagination and curiosity. Summarized in this review are also the accomplishments of the Gordon Life Science Institute and its future perspective.

Cite this paper

Chou, K.C. (2020) The Development of Gordon Life Science Institute: Its Driving Force and Accomplishments. Natural Science, 12, 202-217. doi: 10.4236/ns.2020.124018.

Cited by

[1] Noah's Ark and Internet Institutes: When and Why?
2020
[2] Coronavirus and Gordon Life Science Institute
2020
[3] Use Chou's 5-steps rule to identify DNase I hypersensitive sites via dinucleotide property matrix and extreme gradient boosting
2020
[4] pLoc_Deep-mHum: Predict Subcellular Localization of Human Proteins by Deep Learning
2020
[5] iATC_Deep-mISF: A Multi-Label Classifier for Predicting the Classes of Anatomical Therapeutic Chemicals by Deep Learning
2020
[6] Machine learning model to predict oncologic outcomes for drugs in randomized clinical trials
2020
[7] pLoc_Deep-mPlant: Predict Subcellular Localization of Plant Proteins by Deep Learning
2020
[8] pLoc_Deep-mGneg: Predict Subcellular Localization of Gram Negative Bacterial Proteins by Deep Learning
2020
[9] pLoc_Deep-mGpos: Predict Subcellular Localization of Gram Positive Bacteria Proteins by Deep Learning
2020
[10] Using Chou's 5-steps rule to identify N6-methyladenine sites by ensemble learning combined with multiple feature extraction methods
2020
[11] pLoc_Deep-mAnimal: A Novel Deep CNN-BLSTM Network to Predict Subcellular Localization of Animal Proteins
2020
[12] The Pandemic Pestilences and Internet Institutes
2020
[13] The Implication of “I Am the Alpha and the Omega” to Internet Institutes
2020

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.