Modeling and Optimizing in vitro Sterilization of Chrysanthemum via Multilayer Perceptron-Non-dominated Sorting Genetic Algorithm-II (MLP-NSGAII)

M Hesami, R Naderi, M Tohidfar - Frontiers in plant science, 2019 - frontiersin.org
In vitro sterilization is a primary step of plant tissue culture which the ultimate results of in
vitro culture are directly depended on the efficiency of the sterilization. Artificial intelligence …

Network-based structural learning nonnegative matrix factorization algorithm for clustering of scRNA-seq data

W Wu, X Ma - IEEE/ACM transactions on computational biology …, 2022 - ieeexplore.ieee.org
Single-cell RNA sequencing (scRNA-seq) measures expression profiles at the single-cell
level, which sheds light on revealing the heterogeneity and functional diversity among cell …

SSNMDI: a novel joint learning model of semi-supervised non-negative matrix factorization and data imputation for clustering of single-cell RNA-seq data

Y Qiu, C Yan, P Zhao, Q Zou - Briefings in Bioinformatics, 2023 - academic.oup.com
Motivation Single-cell RNA sequencing (scRNA-seq) technology attracts extensive attention
in the biomedical field. It can be used to measure gene expression and analyze the …

Joint learning dimension reduction and clustering of single-cell RNA-sequencing data

W Wu, X Ma - Bioinformatics, 2020 - academic.oup.com
Motivation Single-cell RNA-sequencing (scRNA-seq) profiles transcriptome of individual
cells, which enables the discovery of cell types or subtypes by using unsupervised …

Deep Learning for Clustering Single-cell RNA-seq Data

Y Zhu, L Bai, Z Ning, W Fu, J Liu, L Jiang… - Current …, 2024 - benthamdirect.com
The development of single-cell RNA sequencing (scRNA-seq) technology provides an
excellent opportunity to explore cell heterogeneity and diversity. With the growing …

Network-based integrative analysis of single-cell transcriptomic and epigenomic data for cell types

W Wu, W Zhang, X Ma - Briefings in bioinformatics, 2022 - academic.oup.com
Advances in single-cell biotechnologies simultaneously generate the transcriptomic and
epigenomic profiles at cell levels, providing an opportunity for investigating cell fates …

MTGDC: A multi-scale tensor graph diffusion clustering for single-cell RNA sequencing data

Q Liu, D Wang, L Zhou, J Li… - IEEE/ACM Transactions …, 2023 - ieeexplore.ieee.org
Single-cell RNA sequencing (scRNA-seq) is a new technology that focuses on the
expression levels for each cell to study cell heterogeneity. Thus, new computational …

Combing K-means clustering and local weighted maximum discriminant projections for weed species recognition

S Zhang, J Guo, Z Wang - Frontiers in Computer Science, 2019 - frontiersin.org
Weed species recognition is the premise to control weeds in smart agriculture. It is a
challenging topic to control weeds in field, because the weeds in field are quite various and …

Nlrrc: a novel clustering method of jointing non-negative lrr and random walk graph regularized nmf for single-cell type identification

J Wang, LP Wang, SS Yuan, F Li… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
The development of single-cell RNA sequencing (scRNA-seq) technology has opened up a
new perspective for us to study disease mechanisms at the single cell level. Cell clustering …

Single-cell RNA sequencing data clustering by low-rank subspace ensemble framework

CY Wang, YL Gao, JX Liu, XZ Kong… - … /ACM Transactions on …, 2020 - ieeexplore.ieee.org
The rapid development of single-cell RNA sequencing (scRNA-seq) technology reveals the
gene expression status and gene structure of individual cells, reflecting the heterogeneity …