Deep Learning-Based Structure-Activity Relationship Modeling for Multi-Category Toxicity Classification: A Case Study of 10K Tox21 Chemicals With High-Throughput Cell-Based Androgen Receptor Bioassay Data-Reference-Cited by-同舟云学术

Deep Learning-Based Structure-Activity Relationship Modeling for Multi-Category Toxicity Classification: A Case Study of 10K Tox21 Chemicals With High-Throughput Cell-Based Androgen Receptor Bioassay Data

Published:2019-08-13 Issue: Volume:10 Page:
ISSN:1664-042X
Container-title:Frontiers in Physiology
language:
Short-container-title:Front. Physiol.

Author:

Idakwo Gabriel,Thangapandian Sundar,Luttrell Joseph,Zhou Zhaoxian,Zhang Chaoyang,Gong Ping

Publisher

Frontiers Media SA

Subject

Physiology (medical),Physiology

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