Publications by authors named "Ibrahim Alsaggaf"
Article Synopsis
- Ageing is a complex biological process linked to many diseases, making the understanding of genes related to ageing crucial.* -
- The research introduces a new method called EGsCL, which uses enhanced Gaussian noise to improve predictions about the effects of ageing-related genes in different organisms by analyzing protein-protein interaction networks.* -
- Results show that EGsCL outperformed traditional methods, achieving top performance in predicting longevity effects and identifying 10 new mouse genes related to pro- or anti-longevity, with literature backing these predictions.*
Cell type identification is an important task for single-cell RNA-sequencing (scRNA-seq) data analysis. Many prediction methods have recently been proposed, but the predictive accuracy of difficult cell type identification tasks is still low. In this work, we proposed a novel Gaussian noise augmentation-based scRNA-seq contrastive learning method (GsRCL) to learn a type of discriminative feature representations for cell type identification tasks.
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