Predicting lncRNA–Disease Associations Based on a Dual-Path Feature Extraction Network with Multiple Sources of Information Integration
D Yao, B Zhang, X Zhan, B Zhang, XK Li - ACS Omega, 2024 - ACS Publications
Identifying the associations between long noncoding RNAs (lncRNAs) and disease is critical
for disease prevention, diagnosis and treatment. However, conducting wet experiments to …
for disease prevention, diagnosis and treatment. However, conducting wet experiments to …
[HTML][HTML] Complete spatially resolved gene expression is not necessary for identifying spatial domains
Spatially resolved transcriptomics (SRT) technologies have revolutionized the study of tissue
organization. We introduce a graph convolutional network with an attention and positive …
organization. We introduce a graph convolutional network with an attention and positive …
Spatial dynamics of mammalian brain development and neuroinflammation by multimodal tri-omics mapping
D Zhang, LA Rubio Rodriguez-Kirby, Y Lin, M Song… - bioRxiv, 2024 - biorxiv.org
The ability to spatially map multiple layers of the omics information over different time points
allows for exploring the mechanisms driving brain development, differentiation, arealization …
allows for exploring the mechanisms driving brain development, differentiation, arealization …
Biophysical Simulation Enables Multi-Scale Segmentation and Atlas Mapping for Top-Down Spatial Omics of the Nervous System
LK Mohammed Ali, AKY Yim, T Nguyen, NK Tu… - bioRxiv, 2024 - biorxiv.org
Spatial omics (SO) has produced high-definition mappings of subcellular molecules (like
transcripts or proteins) within various tissue samples. Most applications of SO are molecule …
transcripts or proteins) within various tissue samples. Most applications of SO are molecule …