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Dataset Information

Prediction of human fetal-maternal blood concentration ratio of chemicals.


ABSTRACT:

Background

The measurement of human fetal-maternal blood concentration ratio (logFM) of chemicals is critical for the risk assessment of chemical-induced developmental toxicity. While a few in vitro and ex vivo experimental methods were developed for predicting logFM of chemicals, the obtained experimental results are not able to directly predict in vivo outcomes.

Methods

A total of 55 chemicals with logFM values representing in vivo fetal-maternal blood ratio were divided into training and test datasets. An interpretable linear regression model was developed along with feature selection methods. Cross-validation on training dataset and prediction on independent test dataset were conducted to validate the prediction model.

Results

This study presents the first valid q

SUBMITTER: Wang CC 

PROVIDER: S-EPMC7380269 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature