Cargando…

LFSC: A linear fast semi-supervised clustering algorithm that integrates reference-bulk and single-cell transcriptomes

The identification of cell types in complex tissues is an important step in research into cellular heterogeneity in disease. We present a linear fast semi-supervised clustering (LFSC) algorithm that utilizes reference samples generated from bulk RNA sequencing data to identify cell types from single...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Qiaoming, Liang, Yingjian, Wang, Dong, Li, Jie
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754124/ https://www.ncbi.nlm.nih.gov/pubmed/36531230 http://dx.doi.org/10.3389/fgene.2022.1068075

Ejemplares similares

Semi-supervised spectral clustering with application to detect population stratification
por: Liu, Binghui, et al.
Publicado: (2013)

MSC-CSMC: A multi-objective semi-supervised clustering algorithm based on constraints selection and multi-source constraints for gene expression data
por: Wang, Zeyuan, et al.
Publicado: (2023)

SCINA: A Semi-Supervised Subtyping Algorithm of Single Cells and Bulk Samples
por: Zhang, Ze, et al.
Publicado: (2019)

Semi-CAM: A semi-supervised deconvolution method for bulk transcriptomic data with partial marker gene information
por: Dong, Li, et al.
Publicado: (2020)

Reference Transcriptomes of Porcine Peripheral Immune Cells Created Through Bulk and Single-Cell RNA Sequencing
por: Herrera-Uribe, Juber, et al.
Publicado: (2021)

KISL: knowledge-injected semi-supervised learning for biological co-expression network modules
por: Xiao, Gangyi, et al.
Publicado: (2023)

Single-Cell and Bulk Transcriptome Data Integration Reveals Dysfunctional Cell Types and Aberrantly Expressed Genes in Hypertrophic Scar
por: Zhang, Shunuo, et al.
Publicado: (2022)

Semi-Supervised Fuzzy Clustering with Feature Discrimination
por: Li, Longlong, et al.
Publicado: (2015)

Semi-Supervised Clustering for Financial Risk Analysis
por: Han, Yihan, et al.
Publicado: (2021)

Semi-supervised oblique predictive clustering trees
por: Stepišnik, Tomaž, et al.
Publicado: (2021)

AdImpute: An Imputation Method for Single-Cell RNA-Seq Data Based on Semi-Supervised Autoencoders
por: Xu, Li, et al.
Publicado: (2021)

DecOT: Bulk Deconvolution With Optimal Transport Loss Using a Single-Cell Reference
por: Liu, Gan, et al.
Publicado: (2022)

Single-Cell Transcriptome Data Clustering via Multinomial Modeling and Adaptive Fuzzy K-Means Algorithm
por: Chen, Liang, et al.
Publicado: (2020)

Editorial: Multimodal and Integrative Analysis of Single-Cell or Bulk Sequencing Data
por: Chen, Geng
Publicado: (2021)

Editorial: Integrative analysis of single-cell and/or bulk multi-omics sequencing data
por: Chen, Geng, et al.
Publicado: (2023)

Identify DNA-Binding Proteins Through the Extreme Gradient Boosting Algorithm
por: Zhao, Ziye, et al.
Publicado: (2022)

Semi-supervised consensus clustering for gene expression data analysis
por: Wang, Yunli, et al.
Publicado: (2014)

Feature selection and semi-supervised clustering using multiobjective optimization
por: Saha, Sriparna, et al.
Publicado: (2014)

Semi-supervised clustering of fractionated electrograms for electroanatomical atrial mapping
por: Orozco-Duque, Andres, et al.
Publicado: (2016)

Semi-supervised adaptive-height snipping of the hierarchical clustering tree
por: Obulkasim, Askar, et al.
Publicado: (2015)

High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis
por: Tang, Hui, et al.
Publicado: (2019)

Predicting drug-disease interactions by semi-supervised graph cut algorithm and three-layer data integration
por: Wu, Guangsheng, et al.
Publicado: (2017)

BLVector: Fast BLAST-Like Algorithm for Manycore CPU With Vectorization
por: Gálvez, Sergio, et al.
Publicado: (2021)

A novel semi-supervised algorithm for the taxonomic assignment of metagenomic reads
por: Le, Vinh Van, et al.
Publicado: (2016)

Semi-supervised associative classification using ant colony optimization algorithm
por: Awan, Hamid Hussain, et al.
Publicado: (2021)

scSemiAE: a deep model with semi-supervised learning for single-cell transcriptomics
por: Dong, Jiayi, et al.
Publicado: (2022)

Semi-supervised learning /
Publicado: (2010)

Array-based genotyping in S.cerevisiae using semi-supervised clustering
por: Bourgon, Richard, et al.
Publicado: (2009)

HCsnip: An R Package for Semi-supervised Snipping of the Hierarchical Clustering Tree
por: Obulkasim, Askar, et al.
Publicado: (2015)

Semi-Supervised Multi-View Clustering with Weighted Anchor Graph Embedding
por: Wang, Senhong, et al.
Publicado: (2021)

Utilization of temporal autoencoder for semi-supervised intracranial EEG clustering and classification
por: Nejedly, Petr, et al.
Publicado: (2023)

On the Use of Deep Active Semi-Supervised Learning for Fast Rendering in Global Illumination
por: Constantin, Ibtissam, et al.
Publicado: (2020)

Integrated analysis of bulk and single-cell RNA-seq reveals the role of MYC signaling in lung adenocarcinoma
por: Hao, Lu, et al.
Publicado: (2022)

scSemiAAE: a semi-supervised clustering model for single-cell RNA-seq data
por: Wang, Zile, et al.
Publicado: (2023)

A Systematic Evaluation of Supervised Machine Learning Algorithms for Cell Phenotype Classification Using Single-Cell RNA Sequencing Data
por: Cao, Xiaowen, et al.
Publicado: (2022)

SupCAM: Chromosome cluster types identification using supervised contrastive learning with category-variant augmentation and self-margin loss
por: Luo, Chunlong, et al.
Publicado: (2023)

Deep Semi-Supervised Algorithm for Learning Cluster-Oriented Representations of Medical Images Using Partially Observable DICOM Tags and Images
por: Manojlović, Teo, et al.
Publicado: (2021)

Classification of Dysphonic Voices in Parkinson’s Disease with Semi-Supervised Competitive Learning Algorithm
por: Bao, Guidong, et al.
Publicado: (2022)

Generative Adversarial Training for Supervised and Semi-supervised Learning
por: Wang, Xianmin, et al.
Publicado: (2022)

A Cluster-then-label Semi-supervised Learning Approach for Pathology Image Classification
por: Peikari, Mohammad, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_6sbq5fdgvkt2iprlifko33iqes