Data Analysis in Chemistry and Bio-Medical Sciences
1
Milano Chemometrics and QSAR Research Group, Department of Earth and Environmental Sciences, University of Milano-Bicocca, 20126 Milano, Italy
2
Research Center on Information and Communication Technologies (CITIC), Institute of Biomedical Research (INIBIC), University of Coruña (UDC), Campus de Elviña s/n, 15071 A Coruña, Spain
3
Department of Organic Chemistry II, University of the Basque Country UPV/EHU, Sarriena w/n, 48940 Leioa, Bizkaia, Spain
4
IKERBASQUE, Basque Foundation for Science, 48011 Bilbao, Biscay, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Mihai V. Putz
Int. J. Mol. Sci. 2016, 17(12), 2105; https://doi.org/10.3390/ijms17122105
Received: 10 October 2016 / Revised: 5 December 2016 / Accepted: 7 December 2016 / Published: 14 December 2016
(This article belongs to the Special Issue Big Data Analysis and QSAR/QSPR Research in Chemistry, Bio-Medical, and Network Sciences)
Note: In lieu of an abstract, this is an excerpt from the first page.
There is an increasing necessity for multidisciplinary collaborations in molecular science between experimentalists and theoretical scientists, as well as among theoretical scientists from different fields.[...] View Full-Text
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Todeschini, R.; Pazos, A.; Arrasate, S.; González-Díaz, H. Data Analysis in Chemistry and Bio-Medical Sciences. Int. J. Mol. Sci. 2016, 17, 2105.
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