Editorial: Improving Neuropharmacology using Big Data, Machine Learning and Computational Algorithms

E-ISSN： 1875-6190|15|8|1058-1061

ISSN： 1570-159X

Source： Current Neuropharmacology, Vol.15, Iss.8, 2017-11, pp. : 1058-1061

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

The Neuropharmacology of Implicit Learning

Current Neuropharmacology, Vol. 8, Iss. 4, 2010-12 ,pp. : 367-381

Bentham Science Publishers

Access to resources Recommend Favorite

An Evaluation on Different Machine Learning Algorithms for Classification and Prediction of Antifungal Peptides

Medicinal Chemistry, Vol. 12, Iss. 8, 2016-12 ,pp. : 795-800

Bentham Science Publishers

Access to resources Recommend Favorite

Big Data

International Journal Of Pharmacy Practice, Vol. 26, Iss. 1, 2018-02 ,pp. : 1-2

John Wiley & Sons Inc

Access to resources Recommend Favorite

Improving and Learning from Practice

JOURNAL OF PHARMACY PRACTICE AND RESEARCH, Vol. 37, Iss. 1, 2007-03 ,pp. : 38-41

John Wiley & Sons Inc

Access to resources Recommend Favorite

Improving Data Reliability Using a Non-Compliance Detection Method versus Using Pharmacokinetic Criteria

By Kshirsagar Smita Blaschke Terrence Sheiner Lewis Krygowski M. Acosta Edward Verotta Davide

Journal of Pharmacokinetics and Pharmacodynamics, Vol. 34, Iss. 1, 2007-02 ,pp. : 35-55

Springer Publishing Company

Access to resources Recommend Favorite