C06 : Inferring Biomarkers from UroA-treated Cell Transcriptome & CRC Cell Heterogeneity via Deep Learning


Students Churong Tang
School IND - Home Schooling - Oakville
Level Senior 11/12 - Grade 11
Group Group 5 - Life Sciences
Abstract This project explores Urolithin A’s transcriptional properties in CRC and their significance in CRC microenvironment cell heterogeneity to identify potential biomarkers like key differentially expressed genes or ligand-receptor pairs. By integrating scRNA-seq data alongside transcriptomic analysis, and leveraging AI and large language models, it aims to enhance experimental efficiency, accelerate analysis, reduce costs, and support precision medicine for early CRC detection and future targeted treatments.
Awards
Group Award Prize
International Science & Engineering Affiliated Fair AwardsSociety for In Vitro Biology Awardcertificate
Dr. M. Doyle AwardDr. M. Doyle Biology Award$ 250
Plaque, and trophy for winner's school
Merit AwardsGold Merit Award$ 100
Canada-Wide Science Fair Trip AwardsCanada-Wide Science Fair Trip Award
Farncombe Family Digestive Health Research AwardsFarncombe Family Digestive Health Research Institute Grand Award$ 750
Plus an interview
McMaster University MGD Institute for Infectious Disease Research AwardsMichael G. DeGroote Institute for Infectious Disease Research Grand Award$ 250
An interview with IIDR