Weighting approaches in data mining and knowledge discovery: A review

Z Hajirahimi, M Khashei - Neural Processing Letters, 2023 - Springer
Modeling and forecasting are impressive and active research areas, which have been
widely used in diverse theoretical and practical applications, successfully. Accuracy is the …

[HTML][HTML] Single-cell RNA sequencing procedures and data analysis

M Wolfien, R David, AM Galow - Bioinformatics [Internet], 2021 - ncbi.nlm.nih.gov
Single-cell and single-nuclei sequencing experiments reveal previously unseen molecular
details. The number of sequencing procedures and computational data analysis approaches …

GRACE: Graph autoencoder based single-cell clustering through ensemble similarity learning

JS Ha, H Jeong - Plos one, 2023 - journals.plos.org
Recent advances in single-cell sequencing techniques have enabled gene expression
profiling of individual cells in tissue samples so that it can accelerate biomedical research to …

Spectral clustering based on multi-similarity learning method for single-cell RNA-seq data

L Zhang, S Liu, Q Ren, J Shang… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The inherent complexities of single-cell RNA-seq data (scRNA-seq), such as high
dimensionality, low signal-to-noise ratio, cellular heterogeneity, and imbalanced distribution …

Network-Based Structural Alignment of RNA Sequences Using TOPAS

CC Chen, H Jeong, X Qian, BJ Yoon - RNA Structure Prediction, 2023 - Springer
TOPAS (TOP ological network-based A lignment of S tructural RNAs) is a network-based
alignment algorithm that predicts structurally sound pairwise alignment of RNAs. In order to …

[PDF][PDF] Identifying cell types with single cell sequencing data

W Zhang - 2022 - harvest.usask.ca
Single-cell RNA sequencing (scRNA-seq) techniques, which examine the genetic
information of individual cells, provide an unparalleled resolution to discern deeply into …

Accurate Single-Cell Clustering through Ensemble Similarity Learning

H Jeong, S Shin, HG Yeom - Genes, 2021 - mdpi.com
Single-cell sequencing provides novel means to interpret the transcriptomic profiles of
individual cells. To obtain in-depth analysis of single-cell sequencing, it requires effective …