Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for aging and age-related disease target discovery-Reference-Cited by-同舟云学术

Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for aging and age-related disease target discovery

Published:2023-06-13 Issue: Volume: Page:
ISSN:1945-4589
Container-title:Aging
language:en
Short-container-title:Aging

Author:

Urban Anatoly¹,Sidorenko Denis¹,Zagirova Diana¹,Kozlova Ekaterina¹,Kalashnikov Aleksandr²,Pushkov Stefan¹,Naumov Vladimir¹,Sarkisova Viktoria¹,Leung Geoffrey Ho Duen¹,Leung Hoi Wing¹,Pun Frank W.¹,Ozerov Ivan V.¹,Aliper Alex¹²,Ren Feng³,Zhavoronkov Alex¹²

Affiliation:

1. Insilico Medicine, Pak Shek Kok, New Territories, Hong Kong

2. Insilico Medicine, Masdar City, United Arab Emirates

3. Insilico Medicine, Shanghai, China

Publisher

Impact Journals, LLC

Subject

Cell Biology,Aging

Reference55 articles.

1. Genetics and epigenetics of aging and longevity.;Zhavoronkov;Cell Cycle,2014

2. Deep biomarkers of human aging: Application of deep neural networks to biomarker development.;Zhavoronkov;Aging (Albany NY),2016

3. Deep Aging Clocks: The Emergence of AI-Based Biomarkers of Aging and Longevity.;Mamoshina;Trends Pharmacol Sci,2019