IEEE/ACM transactions on computational biology and bioinformatics
Dec 25, 2023
The automatic disease diagnosis utilizing clinical data has been suffering from the issues of feature sparse and high probability of missing values. Since the graph neural network is a effective tool to model the structural information and infer the ...
IEEE/ACM transactions on computational biology and bioinformatics
Oct 10, 2023
Breast cancer is a heterogeneous disease consisting of a diverse set of genomic mutations and clinical characteristics. The molecular subtypes of breast cancer are closely tied to prognosis and therapeutic treatment options. We investigate using deep...
IEEE/ACM transactions on computational biology and bioinformatics
Oct 9, 2023
Due to the lengthy and costly process of new drug discovery, increasing attention has been paid to drug repositioning, i.e., identifying new drug-disease associations. Current machine learning methods for drug repositioning mainly leverage matrix fac...
IEEE/ACM transactions on computational biology and bioinformatics
Oct 9, 2023
Single-cell RNA sequencing (scRNA-seq) provides a high throughput, quantitative and unbiased framework for scientists in many research fields to identify and characterize cell types within heterogeneous cell populations from various tissues. However,...
IEEE/ACM transactions on computational biology and bioinformatics
Oct 9, 2023
It has been demonstrated that RNA modifications play essential roles in multiple biological processes. Accurate identification of RNA modifications in the transcriptome is critical for providing insights into the biological functions and mechanisms. ...
IEEE/ACM transactions on computational biology and bioinformatics
Oct 9, 2023
Protein-protein interactions (PPIs) play essential roles in many vital movements and the determination of protein complex structure is helpful to discover the mechanism of PPI. Protein-protein docking is being developed to model the structure of the ...
IEEE/ACM transactions on computational biology and bioinformatics
Oct 9, 2023
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 performance is constrained by high false-positive and false-negat...
IEEE/ACM transactions on computational biology and bioinformatics
Oct 9, 2023
The ability to predict survival in cancer is clinically important because the finding can help patients and physicians make optimal treatment decisions. Artificial intelligence in the context of deep learning has been increasingly realized by the inf...
IEEE/ACM transactions on computational biology and bioinformatics
Oct 9, 2023
Circular RNA (CircRNA) is widely expressed and has physiological and pathological significance, regulating post-transcriptional processes via its protein-binding activity. However, whereas much work has been done on linear RNA and RNA binding protein...
IEEE/ACM transactions on computational biology and bioinformatics
Oct 9, 2023
Protein binding site prediction is an important prerequisite task of drug discovery and design. While binding sites are very small, irregular and varied in shape, making the prediction very challenging. Standard 3D U-Net has been adopted to predict b...