[HTML][HTML] Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA
Single-cell RNA sequencing provides high-throughput gene expression information to
explore cellular heterogeneity at the individual cell level. A major challenge in characterizing …
explore cellular heterogeneity at the individual cell level. A major challenge in characterizing …
[HTML][HTML] A survey on high-dimensional subspace clustering
W Qu, X Xiu, H Chen, L Kong - Mathematics, 2023 - mdpi.com
With the rapid development of science and technology, high-dimensional data have been
widely used in various fields. Due to the complex characteristics of high-dimensional data, it …
widely used in various fields. Due to the complex characteristics of high-dimensional data, it …
scGMAI: a Gaussian mixture model for clustering single-cell RNA-Seq data based on deep autoencoder
The rapid development of single-cell RNA sequencing (scRNA-Seq) technology provides
strong technical support for accurate and efficient analyzing single-cell gene expression …
strong technical support for accurate and efficient analyzing single-cell gene expression …
A data-driven clustering recommendation method for single-cell RNA-sequencing data
Y Tian, R Zheng, Z Liang, S Li… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
Recently, the emergence of single-cell RNA-sequencing (scRNA-seq) technology makes it
possible to solve biological problems at the single-cell resolution. One of the critical steps in …
possible to solve biological problems at the single-cell resolution. One of the critical steps in …
SSRE: cell type detection based on sparse subspace representation and similarity enhancement
Accurate identification of cell types from single-cell RNA sequencing (scRNA-seq) data
plays a critical role in a variety of scRNA-seq analysis studies. This task corresponds to …
plays a critical role in a variety of scRNA-seq analysis studies. This task corresponds to …
FuBiNFS–fuzzy biclustering neuro-fuzzy system
K Siminski - Fuzzy Sets and Systems, 2022 - Elsevier
In data sets some attributes may have higher or lower importance. One of the tools used for
data analysis of such datasets are subspace neuro-fuzzy systems. They elaborate fuzzy …
data analysis of such datasets are subspace neuro-fuzzy systems. They elaborate fuzzy …
Single-cell mRNA Profiles in PBMC
L Yang, Y Zhang, N Mitic, DB Keskin… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
We developed a method for building gene expression profiles from single-cell gene
expression matrices. We named these profiles the “single-cell-derived-class” or SCDC …
expression matrices. We named these profiles the “single-cell-derived-class” or SCDC …
scSSA: a clustering method for single cell RNA-seq data based on semi-supervised autoencoder
JP Zhao, TS Hou, Y Su, CH Zheng - Methods, 2022 - Elsevier
Background Single cell sequencing is a technology for high-throughput sequencing analysis
of genome, transcriptome and epigenome at the single cell level. It can improve the …
of genome, transcriptome and epigenome at the single cell level. It can improve the …
Robust spectral clustering via low‐rank sample representation
H Liang, HT Guan, SE Abhadiomhen… - … Intelligence and Soft …, 2022 - Wiley Online Library
Traditional clustering methods neglect the data quality and perform clustering directly on the
original data. Therefore, their performance can easily deteriorate since real‐world data …
original data. Therefore, their performance can easily deteriorate since real‐world data …
Spectral type subspace clustering methods: multi-perspective analysis
Founded on the premise that high-dimensional data can be characterized as data drawn
from a union of several low-dimensional subspaces, subspace clustering has become …
from a union of several low-dimensional subspaces, subspace clustering has become …