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Gene Fusion

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DEEPrior: a deep learning tool for the prioritization of gene fusions.

Bioinformatics (Oxford, England)
SUMMARY: In the last decade, increasing attention has been paid to the study of gene fusions. However, the problem of determining whether a gene fusion is a cancer driver or just a passenger mutation is still an open issue. Here we present DEEPrior, ...

Identification of Tissue of Origin and Guided Therapeutic Applications in Cancers of Unknown Primary Using Deep Learning and RNA Sequencing (TransCUPtomics).

The Journal of molecular diagnostics : JMD
Cancers of unknown primary (CUP) are metastatic cancers for which the primary tumor is not found despite thorough diagnostic investigations. Multiple molecular assays have been proposed to identify the tissue of origin (TOO) and inform clinical care;...

Parallel multi-fusion convolutional neural networks based fault diagnosis of rotating machinery under noisy environments.

ISA transactions
Fault diagnosis has a great significance in preventing serious failures of rotating machinery and avoiding huge economic losses. The performance of the existing fault diagnosis approaches might be affected by two factors, i.e., the quality of fault f...

MFEAFN: Multi-scale feature enhanced adaptive fusion network for image semantic segmentation.

PloS one
Low-level features contain spatial detail information, and high-level features contain rich semantic information. Semantic segmentation research focuses on fully acquiring and effectively fusing spatial detail with semantic information. This paper pr...

Research on image content description in Chinese based on fusion of image global and local features.

PloS one
Most image content modelling methods are designed for English description which is different form Chinese in syntax structure. The few existing Chinese image description models do not fully integrate the global features and the local features of an i...

FusionAI, a DNA-sequence-based deep learning protocol reduces the false positives of human fusion gene prediction.

STAR protocols
Even though there were many tool developments of fusion gene prediction from NGS data, too many false positives are still an issue. Wise use of the genomic features around the fusion gene breakpoints will be helpful to identify reliable fusion genes ...

Dynamic gesture recognition based on 2D convolutional neural network and feature fusion.

Scientific reports
Gesture recognition is one of the most popular techniques in the field of computer vision today. In recent years, many algorithms for gesture recognition have been proposed, but most of them do not have a good balance between recognition efficiency a...

An effective modular approach for crowd counting in an image using convolutional neural networks.

Scientific reports
Abrupt and continuous nature of scale variation in a crowded scene is a challenging task to enhance crowd counting accuracy in an image. Existing crowd counting techniques generally used multi-column or single-column dilated convolution to tackle sca...

Multi-type feature fusion based on graph neural network for drug-drug interaction prediction.

BMC bioinformatics
BACKGROUND: Drug-Drug interactions (DDIs) are a challenging problem in drug research. Drug combination therapy is an effective solution to treat diseases, but it can also cause serious side effects. Therefore, DDIs prediction is critical in pharmacol...