A review of the applications of data mining and machine learning for the prediction of biomedical properties of nanoparticles-Reference-Cited by-同舟云学术

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A review of the applications of data mining and machine learning for the prediction of biomedical properties of nanoparticles

Published:2016-08 Issue: Volume:132 Page:93-103
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Jones David E.,Ghandehari Hamidreza,Facelli Julio C.

Funder

National Library of Medicine

National Center for Advancing Translational Sciences

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference73 articles.

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2. State-of-the-art in design rules for drug delivery platforms: lessons learned from FDA-approved nanomedicines;Dawidczyk;J. Control. Release,2014

3. Predictive QSAR modeling workflow, model applicability domains, and virtual screening;Tropsha;Curr. Pharm. Des,2007

4. Toward the development of “nano-QSARs”: advances and challenges;Puzyn;Small,2009

5. Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles;Puzyn;Nat. Nanotechnol,2011

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