# Binary Classification of the Endocrine Disrupting Chemicals by Artificial Neural Networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/binary-classification-of-the-endocrine-disrupting-chemicals-by-artificial-neural/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zahir Aghayev,George F. Walker,Funda Iseri,Moustafa Ali,Adam T. Szafran,Fabio Stossi,Michael A. Mancini,Efstratios N. Pistikopoulos,Burcu Beykal |
| Citations | 2 |
| DOI | 10.1016/b978-0-443-15274-0.50418-2 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Veterinary |
| Open Access | true |
| OA Status | green |
| OA URL | https://pmc.ncbi.nlm.nih.gov/articles/PMC10413412/pdf/nihms-1920073.pdf |
| OpenAlex ID | https://openalex.org/W4384789428 |
| PMID | 37575176 |
| Type | book-chapter |
| Year | 2023 |

## Paper authors

- [Funda Iseri](https://scholariq.org/researchers/funda-iseri/)

## Paper journal

- [Computer-aided chemical engineering/Computer aided chemical engineering](https://scholariq.org/journals/computer-aided-chemical-engineering-computer-aided-chemical-engineering/)

## Paper primary topic

- [Computational Drug Discovery Methods](https://scholariq.org/topics/computational-drug-discovery-methods/)

## Paper topics

- [Computational Drug Discovery Methods](https://scholariq.org/topics/computational-drug-discovery-methods/)
- [Cell Image Analysis Techniques](https://scholariq.org/topics/cell-image-analysis-techniques/)
- [Animal testing and alternatives](https://scholariq.org/topics/animal-testing-and-alternatives/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.