Implementation of HBEA for Tumor Cell Prediction Using Gene Expression and Dose Response-Reference-Cited by-同舟云学术

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Implementation of HBEA for Tumor Cell Prediction Using Gene Expression and Dose Response

Published:2023 Issue: Volume: Page:631-649
ISSN:2367-4512
Container-title:Intelligent Communication Technologies and Virtual Mobile Networks
language:
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Author:

Rajendran P. Selvi,Kartheeswari K. R.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-1767-9_46

Reference59 articles.

1. Ashley EA (2015) The precision medicine initiative: a new national effort. JAMA 313:2119–2120

2. Collins FS, Varmus H (2015) A new initiative on precision medicine. N Engl J Med 372:793–795

3. Adam G, Rampášek L, Safikhani Z, Smirnov P, HaibeKains B, Goldenberg A (2020) Machine learning approaches to drug response prediction: challenges and recent progress, NPJ Precis Oncol

4. Wang L, Li X, Zhang L, Gao Q (2017) Improved anticancer drug response prediction in cell lines using matrix factorization with similarity regularization. BMC Cancer 17:513

5. Lu X, Gu H, Wang Y, Wang J, Qin P (2019) Autoencoder based feature selection method for classification of anticancer drug response. Front Genet 10:233

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