Model Architecture Analysis and Implementation of TENET for Cell–Cell Interaction Network Reconstruction Using Spatial Transcriptomics Data
Cellular communication relies on the intricate interplay of signaling molecules, which come together to form the cell–cell interaction (CCI) network that orchestrates tissue behavior. Researchers have shown that shallow neural networks can effectively reconstruct the CCI from the abundant molecular...
Saved in:
Main Authors: | Ziyang Wang, Yujian Lee, Yongqi Xu, Peng Gao, Chuckel Yu, Jiaxing Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Bio-protocol LLC
2025-02-01
|
Series: | Bio-Protocol |
Online Access: | https://bio-protocol.org/en/bpdetail?id=5205&type=0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Didacticism and Philosophical Tenets in Ọbasa’s Poetry
by: Arinpe Adejumo
Published: (2021-12-01) -
COGNITIVE LINGUISTICS: FROM GENERAL PERSPECTIVES TO SOME MAJOR TENETS
by: Dương Hữu Biên
Published: (2017-10-01) -
Reconstruction of gene regulatory networks from single cell transcriptomic data
by: M. A. Rybakov, et al.
Published: (2025-01-01) -
Single-cell and spatial transcriptomics in endocrine research
by: Ryusaku Matsumoto, et al.
Published: (2024-02-01) -
Inferring single-cell and spatial microRNA activity from transcriptomics data
by: Efrat Herbst, et al.
Published: (2025-01-01)