Focus at-a-glance

In biology

In human physiology and pathophysiology

Computational tools

State of the art

A guide to machine learning for biologists in Nature Reviews

Machine Learning Overview By Steve Brunton

Deep Learning Basics: Introduction and Overview By Lex Fridman

Using machine learning approaches for multi-omics data analysis: A review

Integration strategies of multi-omics data for machine learning analysis

A hitchhiker’s guide to single-cell transcriptomics and data analysis pipelines

Algorithmic advances in machine learning for single-cell expression analysis

Machine learning and statistical methods for clustering single-cell RNA-sequencing data

Multiview learning for understanding functional multiomics

Multi-omic and multi-view clustering algorithms: review and cancer benchmark

Statistical and machine learning methods for spatially resolved transcriptomics with histology

“Estadística y Aprendizaje Automático” By Concha Bielza

The roles of supervised machine learning in systems neuroscience

Applications of machine learning in drug discovery and development (In Nature Reviews)

Formatting biological big data for modern machine learning in drug discovery by Patrick Aloy of the Institute of Research in Biomedicine, Barcelona, Spain

Michelle Gill – Artificial Intelligence Driven Drug Discovery

Neuroimaging-based diagnosis by Juan Sahuquillo of the Hospital Vall d’Hebron Barcelona, Spain

Machine learning in precision medicine: lessons to learn