Recent advances in predicting protein–protein interactions with the aid of artificial intelligence algorithms
Protein–protein interactions (PPIs) are essential in the regulation of biological functions and
cell events, therefore understanding PPIs have become a key issue to understanding the …
cell events, therefore understanding PPIs have become a key issue to understanding the …
[HTML][HTML] Mass spectrometry-assisted gel-based proteomics in cancer biomarker discovery: approaches and application
R Huang, Z Chen, L He, N He, Z **, Z Li, Y Deng… - Theranostics, 2017 - ncbi.nlm.nih.gov
There is a critical need for the discovery of novel biomarkers for early detection and targeted
therapy of cancer, a major cause of deaths worldwide. In this respect, proteomic …
therapy of cancer, a major cause of deaths worldwide. In this respect, proteomic …
[HTML][HTML] Zeroing neural networks: A survey
Using neural networks to handle intractability problems and solve complex computation
equations is becoming common practices in academia and industry. It has been shown that …
equations is becoming common practices in academia and industry. It has been shown that …
Predicting protein-protein interactions using sequence and network information via variational graph autoencoder
Protein-protein interactions (PPIs) play a critical role in the proteomics study, and a variety of
computational algorithms have been developed to predict PPIs. Though effective, their …
computational algorithms have been developed to predict PPIs. Though effective, their …
Deep neural network and extreme gradient boosting based Hybrid classifier for improved prediction of Protein-Protein interaction
Understanding the behavioral process of life and disease-causing mechanism, knowledge
regarding protein-protein interactions (PPI) is essential. In this paper, a novel hybrid …
regarding protein-protein interactions (PPI) is essential. In this paper, a novel hybrid …
AE-LGBM: Sequence-based novel approach to detect interacting protein pairs via ensemble of autoencoder and LightGBM
Protein-protein interactions (PPIs) play a crucial role in biological processes of living
organisms. Correct prediction of PPI can prove to be extremely valuable in probing protein …
organisms. Correct prediction of PPI can prove to be extremely valuable in probing protein …
Predicting lncRNA-miRNA Interaction via Graph Convolution Auto-Encoder
The interaction of miRNA and lncRNA is known to be important for gene regulations.
However, the number of known lncRNA-miRNA interactions is still very limited and there are …
However, the number of known lncRNA-miRNA interactions is still very limited and there are …
PCVMZM: using the probabilistic classification vector machines model combined with a zernike moments descriptor to predict protein–protein interactions from protein …
Protein–protein interactions (PPIs) are essential for most living organisms' process. Thus,
detecting PPIs is extremely important to understand the molecular mechanisms of biological …
detecting PPIs is extremely important to understand the molecular mechanisms of biological …
Novel link prediction for large-scale miRNA-lncRNA interaction network in a bipartite graph
Background Current knowledge and data on miRNA-lncRNA interactions is still limited and
little effort has been made to predict target lncRNAs of miRNAs. Accumulating evidences …
little effort has been made to predict target lncRNAs of miRNAs. Accumulating evidences …
Heuristics and metaheuristics for biological network alignment: A review
In recent years, with the emergence of big-data and high-throughput biological analyses,
massive biological data have been generated and accessed, and many heuristic and …
massive biological data have been generated and accessed, and many heuristic and …