Understanding the links between microbial communities and human diseases is pivotal in modern biomedical research. Microbe-disease association prediction utilises computational models to infer ...

BOSTON - Computational imaging techniques are growing more popular, but the large number of measurements they require often lead to slow speeds or damage to biological samples. A newly developed ...

A collaborative research team led by Professor Pan Feng from the School of New Materials at Peking University Shenzhen Graduate School has developed a topology-based variational autoencoder framework ...

Aptamers are single-stranded oligonucleotides generated by the systematic evolution of ligands by exponential enrichment (SELEX). They have a wide variety of applications, but computational approaches ...

G. Eraslan et al., “Single-cell RNA-seq denoising using a deep count autoencoder,” Nat Commun, 10:390, 2019. M. Büttner et al., “A test metric for assessing single-cell RNA-seq batch correction,” Nat ...

Computational methods used to fill in missing pixels in low-quality images or video also can help scientists provide missing information for how DNA is organized in the cell, computational biologists ...