Cargando…
Cascade Forest-Based Model for Prediction of RNA Velocity
In recent years, single-cell RNA sequencing technology (scRNA-seq) has developed rapidly and has been widely used in biological and medical research, such as in expression heterogeneity and transcriptome dynamics of single cells. The investigation of RNA velocity is a new topic in the study of cellu...
Autores principales: | Zeng, Zhiliang, Zhao, Shouwei, Peng, Yu, Hu, Xiang, Yin, Zhixiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698518/ https://www.ncbi.nlm.nih.gov/pubmed/36431973 http://dx.doi.org/10.3390/molecules27227873 |
Ejemplares similares
-
LGBMDF: A cascade forest framework with LightGBM for predicting drug-target interactions
por: Peng, Yu, et al.
Publicado: (2023) -
Prediction of miRNA–Disease Associations by Cascade Forest Model Based on Stacked Autoencoder
por: Hu, Xiang, et al.
Publicado: (2023) -
A novel lncRNA–protein interaction prediction method based on deep forest with cascade forest structure
por: Tian, Xiongfei, et al.
Publicado: (2021) -
Cascade Deep Forest With Heterogeneous Similarity Measures for Drug–Target Interaction Prediction
por: Zheng, Ying, et al.
Publicado: (2021) -
A laminar augmented cascading flexible neural forest model for classification of cancer subtypes based on gene expression data
por: Zhong, Lianxin, et al.
Publicado: (2021)