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publications
Automatic instance-edge detection network (AID-Net)-vertebral edge detection by deep learning
Published in European Journal of Clinical Investigation, 2019
Use Google Scholar for full citation
Recommended citation: Yan Li, Jing Chin, Yixiang Wang, Richard So, "Automatic instance-edge detection network (AID-Net)-vertebral edge detection by deep learning." European Journal of Clinical Investigation, 2019.
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
Machine learning–driven identification of early-life air toxic combinations associated with childhood asthma outcomes
Published in The Journal of Clinical Investigation, 2021
Recommended citation: Li, Yan-Chak; Hsu, Hsiao-Hsien Leon; Chun, Yoojin; Chiu, Po-Hsiang; Arditi, Zoe; Claudio, Luz; Pandey, Gaurav; Bunyavanich, Supinda. The Journal of Clinical Investigation. 2021. 131(22). https://www.jci.org/articles/view/152088
Integrating multimodal data through interpretable heterogeneous ensembles
Published in Bioinformtics Advances, 2022
Recommended citation: Integrating multimodal data through interpretable heterogeneous ensembles, Li, Yan Chak; Wang, Linhua; Law, Jeffrey; Murali, TM; Pandey, Gaurav. Bioinformtics Advances, Volume 2, Issue 1, 2022, vbac065 https://academic.oup.com/bioinformaticsadvances/article/2/1/vbac065/6696243
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
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
Exploring the Druggable Conformational Space of Protein Kinases Using AI-Generated Structures
Published in bioRxiv, 2023
Recommended citation: Exploring the Druggable Conformational Space of Protein Kinases Using AI-Generated Structures. Herrington, Noah B.; Stein, David; Li, Yan Chak; Pandey, Gaurav; Schlessinger, Avner; bioRxiv, 2023. https://www.biorxiv.org/content/10.1101/2023.08.31.555779v2.abstract
KinAce: a web portal for exploring kinase-substrate interactions
Published in bioRxiv, 2023
Recommended citation: KinAce: a web portal for exploring kinase-substrate interactions. Sekar, John A P.; Li, Yan Chak; Pandey, Gaurav; Schlessinger, Avner; bioRxiv, 2023. https://www.biorxiv.org/content/10.1101/2023.12.08.570875v1.abstract
eipy: An Open-Source Python Package for Multi-modal Data Integration using Heterogeneous Ensembles
Published in arXiv, 2024
Recommended citation: eipy: An Open-Source Python Package for Multi-modal Data Integration using Heterogeneous Ensembles. Bennett, Jamie J.R.; Li, Yan Chak; Pandey, Gaurav; arXiv, 2023. https://arxiv.org/abs/2401.09582
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.
Automatic Instance-edge Detection Network (AID-Net) - vertebral edge detection by deep learning
Published:
Predicting biomedical characteristics and outcomes using Ensemble Integration
Published:
Work In Progress (WIP) talk @ Icahn School of Medicine at Mount Sinai
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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