Database composition can affect the structure-activity relationship prediction.

about

Using quantitative structure-activity relationships (QSAR) to predict toxic endpoints for polycyclic aromatic hydrocarbons (PAH).

P2860

Q47622820-DAEA6784-AA69-47BF-8AC5-CE95B3918271

P2860

Database composition can affect the structure-activity relationship prediction.

Item

http://www.wikidata.org/entity/Q40305717

description

2006 nî lūn-bûn

@nan

2006年の論文

@ja

2006年論文

@yue

2006年論文

@zh-hant

2006年論文

@zh-hk

2006年論文

@zh-mo

2006年論文

@zh-tw

2006年论文

@wuu

2006年论文

@zh

2006年论文

@zh-cn

name

Database composition can affect the structure-activity relationship prediction.

@en

type

Item

label

Database composition can affect the structure-activity relationship prediction.

@en

prefLabel

Database composition can affect the structure-activity relationship prediction.

@en

P1476

Database composition can affect the structure-activity relationship prediction

@en

P2093

James J Chen

http://www.w3.org/2001/XMLSchema#string

John F Young

http://www.w3.org/2001/XMLSchema#string

John R Latendresse

http://www.w3.org/2001/XMLSchema#string

Ralph L Kodell

http://www.w3.org/2001/XMLSchema#string

P2860

Measuring the accuracy of diagnostic systems

SAR modeling of unbalanced data sets.

Putting the Predictive Toxicology Challenge into perspective: reflections on the results.

The utility of structure-activity relationship (SAR) models for prediction and covariate selection in developmental toxicity: comparative analysis of logistic regression and decision tree models.

An approach for evaluating and increasing the informational content of mutagenicity and clastogenicity data bases.

Estimation of the optimal data base size for structure-activity analyses: the Salmonella mutagenicity data base.

Structure-activity and mechanistic relationships: the effect of chemical overlap on structural overlap in data bases of varying size and composition.

A new highly specific method for predicting the carcinogenic potential of pharmaceuticals in rodents using enhanced MCASE QSAR-ES software.

Statistical evaluation of the Predictive Toxicology Challenge 2000-2001.

Bayesian analysis and inference from QSAR predictive model results.

P304

1527-1540

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1080/15287390500468746

http://www.w3.org/2001/XMLSchema#string

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Chen-An Tsai

P577

2006-08-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

16854783

http://www.w3.org/2001/XMLSchema#string

Database composition can affect the structure-activity relationship prediction.

about

P2860

P2860

Database composition can affect the structure-activity relationship prediction.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P698

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P698