MA6a.4

AI-driven Classification of Introns: Deciphering the Dark Matter of the Genome

Stephanie Kim, University of Miami, United States; Kaitlin Girardini, University of Connecticut, United States; Vanessa Aguiar-Pulido, University of Miami, United States; Rahul Kanadia, University of Connecticut, United States
Session:
MA6a: AI in Biomedicine, Bioinformatics, and Computational Biology Lecture
Track:
Biomedical Signal and Image Processing
Location:
Surf and Sand
Presentation Time:
Mon, 27 Oct, 09:30 - 09:55 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session MA6a
MA6a.1: Exploring Endocrine Disruptors Pathways with Knowledge Graphs and Network Biology
Mariagiovanna Pais, Amin Arif, Ali Can, Queen’s University Belfast, United Kingdom; Jack Feltham, Richard Currie, Syngenta, United Kingdom; Guillermo Lopez Campos, Gary Hardiman, Queen’s University Belfast, United Kingdom
MA6a.2: Generation of Synthetic Laryngoscopy Images Using StyleGAN3
Danielle Morrison, Weill Cornell Medicine, United States; Abhinita S Mohanty, Rutgers University–Camden, United States; Pegah Khosravi, City University of New York, United States; Anaïs Rameau, Weill Cornell Medicine, United States
MA6a.3: Brain Computer Interface Bioinformatics Audio Stimulation For Neural Cognition Development for FragileX Syndrome
Zag ElSayed, University of Cincinnati & Children's Hospital Medical Center, United States; Ernest Pedapati, Cincinnati Children’s Hospital Medical Center, United States; Nelly Elsayed, University of Cincinnati, United States; Constantinos L. Zekios, Florida International University, United States
MA6a.4: AI-driven Classification of Introns: Deciphering the Dark Matter of the Genome
Stephanie Kim, University of Miami, United States; Kaitlin Girardini, University of Connecticut, United States; Vanessa Aguiar-Pulido, University of Miami, United States; Rahul Kanadia, University of Connecticut, United States
Contacts