With the advantage of extensive coverage, predicted spectral libraries are becoming an attractive alternative in proteomic data analysis. As a popular false discovery rate estimation method, target ...

The optimization of absorption, distribution, metabolism, and excretion (ADME) profiles of compounds is critical to the drug discovery process. As such, machine learning (ML) models for ADME are ...

A cross-attention network based on masked autoencoder called single-cell multimodal masked autoencoder - Xubin-s-Lab/scMMAE ...

Masked variational autoencoders for modeling conditional distributions of neural and behavioral data - mackelab/neuro-behavior-conditioning ...

In recent years, deep learning models have been employed for cardinality estimation in databases. These models can be categorized into query-driven and data-driven approaches. Query-driven methods ...

Keywords: neural segmentation, SEM image, masked autoencoder, image segmentation, self-supervised learning Citation: Cheng A, Shi J, Wang L and Zhang R (2023) Learning the heterogeneous representation ...