Deep Learning in Bioinformatics - Recent Advancement

Explore recent advancements in deep learning applications for bioinformatics in this 20-minute video presentation. Gain insights into the intersection of artificial intelligence and biological data analysis, covering topics such as predicting DNA and RNA binding protein specificities, enhancing transcription factor binding site prediction, dimensionality reduction in single-cell RNA sequencing, early intestinal cancer prediction, and effective drug combination prediction. Examine various deep learning architectures, including convolutional neural networks, autoencoders, and deep belief networks, and their applications in solving complex biological problems. Discover how these cutting-edge techniques are revolutionizing the field of bioinformatics and computational biology, with references to key research papers and visual aids to enhance understanding.

Introduction
What is Deep Learning
What is BTINET
Auto Encoder
Deep Belief Network