CFSSynergy: Combining Feature-Based and Similarity-Based Methods for Drug Synergy Prediction-Reference-Cited by-同舟云学术

CFSSynergy: Combining Feature-Based and Similarity-Based Methods for Drug Synergy Prediction

Published:2024-03-22 Issue:7 Volume:64 Page:2577-2585
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Rafiei Fatemeh¹,Zeraati Hojjat¹,Abbasi Karim²^ORCID,Razzaghi Parvin³^ORCID,Ghasemi Jahan B⁴^ORCID,Parsaeian Mahboubeh¹⁵^ORCID,Masoudi-Nejad Ali⁶^ORCID

Affiliation:

1. Department of Epidemiology and Biostatistics, School of Health, Tehran University of Medical Sciences, Tehran 14167-53955, Iran

2. Laboratory of System Biology, Bioinformatics & Artificial Intelligence in Medicine (LBB&AI), Faculty of Mathematics and Computer Science, Kharazmi University, Tehran 14588-89694, Iran

3. Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan 45137-66731, Iran

4. Chemistry Department, Faculty of Chemistry, School of Sciences, University of Tehran, Tehran 14174-66191, Iran

5. Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, U.K.

6. Laboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran 13145-1365, Iran

Funder

Tehran University of Medical Sciences and Health Services

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c01486

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3. Individualized Systems Medicine Strategy to Tailor Treatments for Patients with Chemorefractory Acute Myeloid Leukemia

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