Continuous and Discrete Similarity Coefficient for Identifying Essential Proteins Using Gene Expression Data
Essential proteins play a vital role in biological processes, and the combination of gene expression profiles with Protein-Protein Interaction (PPI) networks can improve the identification of essential proteins. However, gene expression data are prone to significant fluctuations due to noise interfe...
Saved in:
| Main Authors: | Jiancheng Zhong, Zuohang Qu, Ying Zhong, Chao Tang, Yi Pan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2023-06-01
|
| Series: | Big Data Mining and Analytics |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2022.9020019 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Constructing multilayer PPI networks based on homologous proteins and integrating multiple PageRank to identify essential proteins
by: He Zhao, et al.
Published: (2025-03-01) -
Fundamentals of protein interaction network mapping
by: Jamie Snider, et al.
Published: (2015-12-01) -
PIPENN-EMB ensemble net and protein embeddings generalise protein interface prediction beyond homology
by: David P. G. Thomas, et al.
Published: (2025-02-01) -
Targeting protein-protein interactions in drug discovery: Modulators approved or in clinical trials for cancer treatment
by: Cristina Camps-Fajol, et al.
Published: (2025-01-01) -
PRODE recovers essential and context-essential genes through neighborhood-informed scores
by: Thomas Cantore, et al.
Published: (2025-02-01)