Imputation methods for scRNA sequencing data
M Wang, J Gan, C Han, Y Guo, K Chen, Y Shi… - Applied Sciences, 2022 - mdpi.com
More and more researchers use single-cell RNA sequencing (scRNA-seq) technology to
characterize the transcriptional map at the single-cell level. They use it to study the …
characterize the transcriptional map at the single-cell level. They use it to study the …
[HTML][HTML] Predicting the Hall-Petch slope of magnesium alloys by machine learning
B Guan, C Chen, Y Xin, J Xu, B Feng, X Huang… - Journal of Magnesium …, 2023 - Elsevier
Hall-Petch slope (k) is an important material parameter, while there is a great challenge to
accurately predict the k value of magnesium alloys due to a high dependence of k on the …
accurately predict the k value of magnesium alloys due to a high dependence of k on the …
Dual fluorescence reporter mice for Ccl3 transcription, translation, and intercellular communication
MB Rodrigo, A De Min, SK Jorch… - Journal of Experimental …, 2024 - rupress.org
Chemokines guide immune cells during their response against pathogens and tumors.
Various techniques exist to determine chemokine production, but none to identify cells that …
Various techniques exist to determine chemokine production, but none to identify cells that …
A framework for comparison and assessment of synthetic RNA-seq data
F Shakola, D Palejev, I Ivanov - Genes, 2022 - mdpi.com
The ever-growing number of methods for the generation of synthetic bulk and single cell
RNA-seq data have multiple and diverse applications. They are often aimed at …
RNA-seq data have multiple and diverse applications. They are often aimed at …
Analysis of MicroRNA Regulation and Gene Expression Variability in Single Cell Data
W Liu, N Shomron - Journal of Personalized Medicine, 2022 - mdpi.com
MicroRNAs (miRNAs) regulate gene expression by binding to mRNAs, and thus reduce
target gene expression levels and expression variability, also known as 'noise'. Single-cell …
target gene expression levels and expression variability, also known as 'noise'. Single-cell …
Imputation method for dropout in single-cell transcriptome data
C Jiang, L Hu, C Xu, Q Ge, X Zhao - Sheng wu yi xue Gong Cheng …, 2023 - europepmc.org
单细胞转录组测序 (scRNA-seq) 可以在单细胞精度下解析组织中细胞的表达特征,
使得研究人员能以更高的分辨率定量群体内的细胞异质性, 揭示潜在的异质细胞群体和复杂组织 …
使得研究人员能以更高的分辨率定量群体内的细胞异质性, 揭示潜在的异质细胞群体和复杂组织 …
[HTML][HTML] 单细胞转录组数据中dropout 的填补方法
超姜, 龙飞胡, 春祥徐, 芹玉葛… - Sheng Wu Yi Xue Gong …, 2023 - ncbi.nlm.nih.gov
单细胞转录组测序( scRNA-seq) 可以在单细胞精度下解析组织中细胞的表达特征,
使得研究人员能以更高的分辨率定量群体内的细胞异质性, 揭示潜在的异质细胞群体和复杂 …
使得研究人员能以更高的分辨率定量群体内的细胞异质性, 揭示潜在的异质细胞群体和复杂 …