ACP-2DCNN: Deep learning-based model for improving prediction of anticancer peptides using two-dimensional convolutional neural network-Reference-Cited by-同舟云学术

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ACP-2DCNN: Deep learning-based model for improving prediction of anticancer peptides using two-dimensional convolutional neural network

Published:2022-07 Issue: Volume:226 Page:104589
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Ghulam Ali,Ali Farman^ORCID,Sikander Rahu,Ahmad Ashfaq,Ahmed Aftab,Patil Shruti

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference42 articles.

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2. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008;Ferlay;Int. J. Cancer,2010

3. Hariharan S, Gustafson D, Holden S, McConkey D, Davis D, Morrow M, Basche M, Gore L, Zang C, O'Bryant CL, Baron A, Gallemann D, Colevas D, Eckhardt SG. Assessment of the biological and pharmacological effects of the alpha nu beta3 and alpha nu beta5 integrin receptor antagonist. Ann. Oncol.. 18:1400–1407.

4. A selective vascular targeting agent in combination with cisplatin in refractory solid tumors;Gregorc;Clin. Cancer Res.,2011

5. From antimicrobial to anticancer peptides;Gaspar;Front. Microbiol.,2013

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