# Applications of Deep Learning and Reinforcement Learning to Biological Data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/applications-of-deep-learning-and-reinforcement-learning-to-biological-data/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mufti Mahmud,M. Shamim Kaiser,Amir Hussain,Stefano Vassanelli |
| Citations | 873 |
| DOI | 10.1109/tnnls.2018.2790388 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Materials Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/1711.03985 |
| OpenAlex ID | https://openalex.org/W2768956845 |
| PMID | 29771663 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Amir Hussain](https://scholariq.org/researchers/amir-hussain/)

## Paper journal

- [IEEE Transactions on Neural Networks and Learning Systems](https://scholariq.org/journals/ieee-transactions-on-neural-networks-and-learning-systems/)

## Paper primary topic

- [Machine Learning and Data Classification](https://scholariq.org/topics/machine-learning-and-data-classification/)

## Paper topics

- [Machine Learning and Data Classification](https://scholariq.org/topics/machine-learning-and-data-classification/)
- [Machine Learning in Materials Science](https://scholariq.org/topics/machine-learning-in-materials-science/)
- [Cell Image Analysis Techniques](https://scholariq.org/topics/cell-image-analysis-techniques/)

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