A survey of circular RNAs in complex diseases: databases, tools and computational methods
Q Xiao, J Dai, J Luo - Briefings in Bioinformatics, 2022 - academic.oup.com
Circular RNAs (circRNAs) are a category of novelty discovered competing endogenous non-
coding RNAs that have been proved to implicate many human complex diseases. A large …
coding RNAs that have been proved to implicate many human complex diseases. A large …
Emerging landscape of molecular interaction networks: Opportunities, challenges and prospects
Network biology finds application in interpreting molecular interaction networks and
providing insightful inferences using graph theoretical analysis of biological systems. The …
providing insightful inferences using graph theoretical analysis of biological systems. The …
A deep learning framework for identifying essential proteins based on multiple biological information
Y Yue, C Ye, PY Peng, HX Zhai, I Ahmad, C Xia… - BMC …, 2022 - Springer
Abstract Background Essential Proteins are demonstrated to exert vital functions on cellular
processes and are indispensable for the survival and reproduction of the organism …
processes and are indispensable for the survival and reproduction of the organism …
A graph neural network model for deciphering the biological mechanisms of plant electrical signal classification
The classification methods of the electrical signal can be effectively applied for the
identification of salt tolerance in plants. Biotechnology can help researchers discover genes …
identification of salt tolerance in plants. Biotechnology can help researchers discover genes …
Rgse: Robust graph structure embedding for anomalous link detection
Anomalous links such as noisy links or adversarial edges widely exist in real-world
networks, which may undermine the credibility of the network study, eg, community detection …
networks, which may undermine the credibility of the network study, eg, community detection …
Identification of essential proteins based on edge features and the fusion of multiple-source biological information
P Liu, C Liu, Y Mao, J Guo, F Liu, W Cai, F Zhao - BMC bioinformatics, 2023 - Springer
Background A major current focus in the analysis of protein–protein interaction (PPI) data is
how to identify essential proteins. As massive PPI data are available, this warrants the …
how to identify essential proteins. As massive PPI data are available, this warrants the …
Continuous and Discrete Similarity Coefficient for Identifying Essential Proteins Using Gene Expression Data
J Zhong, Z Qu, Y Zhong, C Tang… - Big Data Mining and …, 2023 - ieeexplore.ieee.org
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 …
expression profiles with Protein-Protein Interaction (PPI) networks can improve the …
Identification of essential protein using chemical reaction optimization and machine learning technique
M Inzamam-Ul-Hossain… - IEEE/ACM Transactions on …, 2023 - ieeexplore.ieee.org
For the survival, development, and reproduction of the organism, understanding the working
process of the cell, disease study, design drugs, etc. essential protein plays a crucial role …
process of the cell, disease study, design drugs, etc. essential protein plays a crucial role …
Construction of a prognostic prediction model for renal clear cell carcinoma combining clinical traits
Y Weng, P Ning - Scientific Reports, 2023 - nature.com
Kidney renal clear cell carcinoma (KIRC) is one of the common malignant tumors of the
urinary system. Patients with different risk levels are other in terms of disease progression …
urinary system. Patients with different risk levels are other in terms of disease progression …
Assessment of GO-based protein interaction affinities in the large-scale human–coronavirus family interactome
SARS-CoV-2 is a novel coronavirus that replicates itself via interacting with the host
proteins. As a result, identifying virus and host protein-protein interactions could help …
proteins. As a result, identifying virus and host protein-protein interactions could help …