Original title: Using Guided Transfer Learning to Predispose AI Agent to Learn Efficiently from Small RNA-sequencing Datasets
Authors: Kevin Li, Danko Nikolić, Vjekoslav Nikolić, Davor Andrić, Lauren M. Sanders, Sylvain V. Costes
The article explores how AI and machine learning can handle tricky RNA data better. It’s like solving a puzzle with missing pieces – the data’s big, but the samples are small. They found a cool way to teach AI to learn from a lot of data first and then use that knowledge to tackle smaller sets without needing tons of human help.
Original article: https://arxiv.org/abs/2311.12045