Precision medicine is an emerging approach to clinical research and patient care that
focuses on understanding and treating disease by integrating multi-modal or multi-omics …

Deep learning describes a class of machine learning algorithms that are capable of
combining raw inputs into layers of intermediate features. These algorithms have recently …

Proteins play a pivotal role in biological systems. The use of machine learning algorithms for
protein classification can assist and even guide biological experiments, offering crucial …

The innovation of biotechnologies has allowed the accumulation of omics data at an
alarming rate, thus introducing the era of 'big data'. Extracting inherent valuable knowledge …

Denoising diffusion models embody a type of generative artificial intelligence that can be
applied in computer vision, natural language processing and bioinformatics. In this Review …

Extracting inherent valuable knowledge from omics big data remains as a daunting problem
in bioinformatics and computational biology. Deep learning, as an emerging branch from …

Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is a central method in
epigenomic research. Genome-wide analysis of histone modifications, such as enhancer …

It is critical, but difficult, to catch the small variation in genomic or other kinds of data that
differentiates phenotypes or categories. A plethora of data is available, but the information …

Genomics is advancing towards data-driven science. Through the advent of high-throughput
data generating technologies in human genomics, we are overwhelmed with the heap of …

Molecular subtyping of cancer is a critical step towards more individualized therapy and
provides important biological insights into cancer heterogeneity. Although gene expression …