Yan Chak (Richard) Li

Yan Chak (Richard) Li

Bioinformatician @ Icahn School of Medicine at Mount Sinai

Posts by Collection

portfolio

publications

Clinical features of COVID-19 mortality: development and validation of a clinical prediction model

Published in The Lancet Digital Health, 2020

GitHub Repository, Article on Medical Xpress

Recommended citation: Clinical features of COVID-19 mortality: development and validation of a clinical prediction model. Yadaw, Arjun S; Li, Yan-chak; Bose, Sonali; Iyengar, Ravi; Bunyavanich, Supinda; Pandey, Gaurav. The Lancet Digital Health. 2020. 2(10). https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30217-X/fulltext

Developing better digital health measures of Parkinson’s disease using free living data and a crowdsourced data analysis challenge

Published in PLOS Digital Health, 2023

Download paper here

Recommended citation: Developing better digital health measures of Parkinson’s disease using free living data and a crowdsourced data analysis challenge. Sieberts, Solveig K; Borzymowski, Henryk; Guan, Yuanfang; Huang, Yidi; Matzner, Ayala; Page, Alex; … ; Li, Yan-Chak; … ; Stanescu, Ana; … ; Pandey, Gaurav; Shawen, Nicholas; Synder, Phil; Omberg, Larsson. PLOS Digital Health 2 (3), e0000208. 2023. https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0000208

Facilitating youth diabetes studies with the most comprehensive epidemiological dataset available through a public web portal

Published in medRxiv, 2023

Prediabetes/diabetes in youth ONline Dashboard (POND)

Recommended citation: Facilitating youth diabetes studies with the most comprehensive epidemiological dataset available through a public web portal. McDonough, Catherine; Li, Yan Chak; Vangeepuram, Nita; Liu, Bian; Pandey Gaurav. medRxiv, 2023. https://www.medrxiv.org/content/10.1101/2023.08.02.23293517v1.full-text

Machine learning-driven identification of air toxic combinations associated with asthma symptoms among elementary school children in Spokane, Washington, USA

Published in Science of The Total Environment, 2024

Download paper here

Recommended citation: Machine learning-driven identification of air toxic combinations associated with asthma symptoms among elementary school children in Spokane, Washington, USA. Amiri Solmaz, Li, Yan Chak, Buchwald Dedra, Pandey Gaurav. Science of The Total Environment, 2024. https://www.sciencedirect.com/science/article/pii/S0048969724012415

A comprehensive youth diabetes epidemiological dataset and web portal: Resource Development and Case Studies

Published in JMIR Public Health and Surveillance, 2024

Prediabetes/diabetes in youth ONline Dashboard (POND)

Recommended citation: A comprehensive youth diabetes epidemiological dataset and web portal: Resource Development and Case Studies. McDonough, Catherine; Li, Yan Chak; Vangeepuram, Nita; Liu, Bian; Pandey Gaurav. JMIR Public Health and Surveillance, 2024. https://publichealth.jmir.org/2024/1/e53330

talks

Fast similarity measure of SWATH-MS by Cosine Similarity of Random Pairs(CS-RP)

Published:

We proposed a new similarity measure on MS2 (tandem mass spectrometry) data - cosine similarity of random pairs(CS-RP). This method reduces time cost of intensity-wise retention time alignment by SWATH or other DIA-MS2 data. The results of CS-RP shared similar results from the retention time alignments with MS1-based method.

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.