Use of Classification Regression Tree in Predicting Oral Absorption in Humans-Reference-Cited by-同舟云学术

Use of Classification Regression Tree in Predicting Oral Absorption in Humans

Published:2004-10-22 Issue:6 Volume:44 Page:2061-2069
ISSN:0095-2338
Container-title:Journal of Chemical Information and Computer Sciences
language:en
Short-container-title:J. Chem. Inf. Comput. Sci.

Author:

Bai Jane P. F.¹,Utis Andrey¹,Crippen Gordon¹,He Han-Dan¹,Fischer Volker¹,Tullman Robert¹,Yin He-Qun¹,Hsu Cheng-Pang¹,Jiang Lan¹,Hwang Kin-Kai¹

Affiliation:

1. ZyxBio, LLC, P.O. Box 2255, Hudson, Ohio 44236, ZyxBio, LLC, 11,000 Cedar Avenue, Cleveland, Ohio 4106, College of Pharmacy, University of Michigan, Ann Arbor, Michigan, Novartis Pharmaceuticals, East Hanover, New Jersey, Johnson & Johnson Pharmaceutical Research & Development, LLC, and Aventis Pharmaceuticals, Bridgewater, New Jersey

Publisher

American Chemical Society (ACS)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci040023n

Reference32 articles.

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3. A comparative study of artificial membrane permeability assay for high throughput profiling of drug absorption potential

4. Prediction of Aqueous Solubility of Heteroatom-Containing Organic Compounds from Molecular Structure

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