Prioritizing Pain-Associated Targets with Machine Learning-Reference-Cited by-同舟云学术

Prioritizing Pain-Associated Targets with Machine Learning

Published:2021-02-19 Issue:18 Volume:60 Page:1430-1446
ISSN:0006-2960
Container-title:Biochemistry
language:en
Short-container-title:Biochemistry

Author:

Jeon Minji¹,Jagodnik Kathleen M.¹,Kropiwnicki Eryk¹,Stein Daniel J.¹,Ma’ayan Avi¹^ORCID

Affiliation:

1. Department of Pharmacological Sciences, Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, P.O. Box 1603, New York, New York 10029, United States

Funder

National Cancer Institute

National Heart, Lung, and Blood Institute

Publisher

American Chemical Society (ACS)

Subject

Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.biochem.0c00930

Reference171 articles.

1. RELIEVING PAIN IN AMERICA: A BLUEPRINT FOR TRANSFORMING PREVENTION, CARE, EDUCATION, AND RESEARCH

2. The Economic Costs of Pain in the United States

3. (353) Excess hours spent on health and health care management among older U.S. adults with disabling chronic pain

4. The Effect of Induced and Chronic Pain on Attention

5. The Effect of Pain on Major Cognitive Impairment in Older Adults

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