A method of gene expression data transfer from cell lines to cancer patients for machine-learning prediction of drug efficiency-Reference-Cited by-同舟云学术

A method of gene expression data transfer from cell lines to cancer patients for machine-learning prediction of drug efficiency

Published:2018-01-17 Issue:4 Volume:17 Page:486-491
ISSN:1538-4101
Container-title:Cell Cycle
language:en
Short-container-title:Cell Cycle

Author:

Borisov Nicolas¹²^ORCID,Tkachev Victor²³,Suntsova Maria²⁴⁵,Kovalchuk Olga⁶⁷,Zhavoronkov Alex⁸,Muchnik Ilya⁹,Buzdin Anton¹²³⁴⁵^ORCID

Affiliation:

1. National Research Centre “Kurchatov Institute”, Centre for Convergence of Nano-, Bio-, Information and Cognitive Sciences and Technologies, Moscow, Russia

2. Department of R&D, First Oncology Research and Advisory Center, Moscow, Russia

3. Department of R&D, OmicsWay Corporation, Walnut, CA, USA

4. Group for Genomic Regulation of Cell Signaling Systems, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia

5. Laboratory of Bioinformatics, D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, 117198, Russia

6. Department of Biological Sciences, University of Lethbridge, Lethbridge, AB, Canada

7. Canada Cancer and Aging Research Laboratories, Lethbridge, AB, Canada

8. Insilico Medicine, Inc, ETC, Johns Hopkins University, Baltimore, MD, USA

9. Rutgers University, Hill Center, Busch Campus, Piscataway, NJ, USA

Funder

National Research Center "Kurchatov Institute"

Publisher

Informa UK Limited

Subject

Cell Biology,Developmental Biology,Molecular Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15384101.2017.1417706

Reference27 articles.

1. A method for predicting target drug efficiency in cancer based on the analysis of signaling pathway activation

2. Comprehensive Biomarker Analysis and Final Efficacy Results of Sorafenib in the BATTLE Trial

3. Gene expression profiling and correlation with outcome in clinical trials of the proteasome inhibitor bortezomib

Cited by 53 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An extensive review on lung cancer therapeutics using machine learning techniques: state-of-the-art and perspectives;Journal of Drug Targeting;2024-05-06

2. Artificial Intelligence-Based Management of Adult Chronic Myeloid Leukemia: Where Are We and Where Are We Going?;Cancers;2024-02-20

3. A Review of Multi-omics and Machine Learning: Advancements and Applications in Cancer Research;2023 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC);2023-09-27

4. Uniformly shaped harmonization combines human transcriptomic data from different platforms while retaining their biological properties and differential gene expression patterns;Frontiers in Molecular Biosciences;2023-09-06

5. Mechanistic insights into dietary (poly)phenols and vascular dysfunction-related diseases using multi-omics and integrative approaches: Machine learning as a next challenge in nutrition research;Molecular Aspects of Medicine;2023-02