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 …
widely used in diverse theoretical and practical applications, successfully. Accuracy is the …
[HTML][HTML] Single-cell RNA sequencing procedures and data analysis
Single-cell and single-nuclei sequencing experiments reveal previously unseen molecular
details. The number of sequencing procedures and computational data analysis approaches …
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 …
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 …
dimensionality, low signal-to-noise ratio, cellular heterogeneity, and imbalanced distribution …
Network-Based Structural Alignment of RNA Sequences Using TOPAS
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 …
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 …
information of individual cells, provide an unparalleled resolution to discern deeply into …
Accurate Single-Cell Clustering through Ensemble Similarity Learning
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 …
individual cells. To obtain in-depth analysis of single-cell sequencing, it requires effective …