Feb 13, 2024 · The approach achieves high classification accuracy with small subsets of genes. A biological analysis on the selected genes confirms their relevance, as they ...

Mar 15, 2024 · [46] proposed an approach called likelihood-fuzzy analysis (LFA) in their study. This approach is used for extracting statistical information from labeled data.

Oct 3, 2023 · In conclusion, our study demonstrates that scFseCluster is a highly versatile tool for enhancing scRNA-seq data clustering analysis. Introduction. Single-cell ...

Dec 15, 2023 · The proposed method shows improvement in accuracy when applied on datasets of different types of cancers [18]. Rouhi et al. proposed a hybrid approach which ...

Nov 11, 2023 · The present study proposes a feature selection approach-based on genes connectivity and a class balancing technique for building a machine leaning model using ...

Oct 19, 2023 · It selects the feature subset that is more effective for the clustering and classification of various gene expression data.

Jan 29, 2024 · The feature selection problem consists of finding a subset of features that represents the original dataset with the aim of eliminating irrelevant and redundant ...

Aug 31, 2023 · Further research is needed to determine which feature selection and extraction methods work best for specific biomedical datasets and classification tasks.

Apr 26, 2024 · The approach produces new relevant features and improves the classification accuracy. Experimental results exhibit improved performance in various ...

Jan 18, 2024 · Future studies may be conducted to increase classification accuracy using the picture dataset by combining feature selection tech- niques with deep learning ...