Neural Network and Deep-Learning Algorithms Used in Qsar Studies: Merits and Drawbacks

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Neural Network and Deep-Learning Algorithms Used in Qsar Studies: Merits and Drawbacks Publisher Pubmed

Ghasemi F¹ ; Mehridehnavi A¹ ; Perezgarrido A² ; Perezsanchez H²

Source: Drug Discovery Today Published:2018

Abstract

[No abstract available]

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Style	Citing Format
MLA	Ghasemi F, et al.. "Neural Network and Deep-Learning Algorithms Used in Qsar Studies: Merits and Drawbacks." Drug Discovery Today, vol. 23, no. 10, 2018, pp. 1784-1790.
APA	Ghasemi F, Mehridehnavi A, Perezgarrido A, Perezsanchez H (2018). Neural Network and Deep-Learning Algorithms Used in Qsar Studies: Merits and Drawbacks. Drug Discovery Today, 23(10), 1784-1790.
Chicago	Ghasemi F, Mehridehnavi A, Perezgarrido A, Perezsanchez H. "Neural Network and Deep-Learning Algorithms Used in Qsar Studies: Merits and Drawbacks." Drug Discovery Today 23, no. 10 (2018): 1784-1790.
Harvard	Ghasemi F et al. (2018) 'Neural Network and Deep-Learning Algorithms Used in Qsar Studies: Merits and Drawbacks', Drug Discovery Today, 23(10), pp. 1784-1790.
Vancouver	Ghasemi F, Mehridehnavi A, Perezgarrido A, Perezsanchez H. Neural Network and Deep-Learning Algorithms Used in Qsar Studies: Merits and Drawbacks. Drug Discovery Today. 2018;23(10):1784-1790.
BibTex	@article{ author = {Ghasemi F and Mehridehnavi A and Perezgarrido A and Perezsanchez H}, title = {Neural Network and Deep-Learning Algorithms Used in Qsar Studies: Merits and Drawbacks}, journal = {Drug Discovery Today}, volume = {23}, number = {10}, pages = {1784-1790}, year = {2018} }
RIS	TY - JOUR AU - Ghasemi F AU - Mehridehnavi A AU - Perezgarrido A AU - Perezsanchez H TI - Neural Network and Deep-Learning Algorithms Used in Qsar Studies: Merits and Drawbacks JO - Drug Discovery Today VL - 23 IS - 10 SP - 1784 EP - 1790 PY - 2018 ER -

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