Moss-m7G: A Motif-Based Interpretable Deep Learning Method for RNA N7-Methlguanosine Site Prediction
N-7methylguanosine (m7G) modification plays a crucial role in various biological processes
and is closely associated with the development and progression of many cancers. Accurate …
and is closely associated with the development and progression of many cancers. Accurate …
Multiscale differential geometry learning of networks with applications to single-cell RNA sequencing data
Single-cell RNA sequencing (scRNA-seq) has emerged as a transformative technology,
offering unparalleled insights into the intricate landscape of cellular diversity and gene …
offering unparalleled insights into the intricate landscape of cellular diversity and gene …
Analyzing Single Cell RNA Sequencing with Topological Nonnegative Matrix Factorization
Single-cell RNA sequencing (scRNA-seq) is a relatively new technology that has stimulated
enormous interest in statistics, data science, and computational biology due to the high …
enormous interest in statistics, data science, and computational biology due to the high …
CUFNet: A fusion network based on cross-reconstruction uniqueness for visible and infrared images
Z Ma, Y Ma, F Hao - Digital Signal Processing, 2024 - Elsevier
Image fusion is crucial in computer vision, offering numerous advantages across various
applications. However, current fusion methods often face challenges in striking a balance …
applications. However, current fusion methods often face challenges in striking a balance …