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A review on deep learning-driven drug discovery: Strategies, tools and applications
It takes an average of 10-15 years to uncover and develop a new drug, and the process is
incredibly time-consuming, expensive, difficult, and ineffective. In recent years the dramatic …
incredibly time-consuming, expensive, difficult, and ineffective. In recent years the dramatic …
Convolutional neural networks: A promising deep learning architecture for biological sequence analysis
The deep learning arena explores new dimensions once considered impossible to human
intelligence. Recently, it has taken footsteps in the biological data world to deal with the …
intelligence. Recently, it has taken footsteps in the biological data world to deal with the …
Detection and quantification of 5moU RNA modification from direct RNA sequencing data
Background: Chemically modified therapeutic mRNAs have gained momentum recently. In
addition to commonly used modifications (eg, pseudouridine), 5moU is considered a …
addition to commonly used modifications (eg, pseudouridine), 5moU is considered a …
Computational optimisation strategies for targeted DNA sequencing using nanopores
L Weilguny - 2023 - repository.cam.ac.uk
Long-read DNA sequencing is causing a generational shift in genome sequencing
productivity and is revolutionising many aspects of biological discovery. One of the …
productivity and is revolutionising many aspects of biological discovery. One of the …
[PDF][PDF] A State-of-the-art Review on Artificial Intelligence and Machine Learning Applications
Background: The integration of artificial intelligence and machine learning holds great
promise for enhancing healthcare institutions and providing fresh perspectives on the …
promise for enhancing healthcare institutions and providing fresh perspectives on the …