CellTypist is an automated cell type annotation tool for scRNA-seq datasets on the basis of logistic regression classifiers optimised by the stochastic gradient descent algorithm. CellTypist allows for cell prediction using either built-in (with a current focus on immune sub-populations) or custom ...
Annotating cell types on the basis of single-cell RNA-seq data is a prerequisite for research on disease progress and tumour microenvironments. Here we show that existing annotation methods typically suffer from a lack of curated marker gene lists, impro
ACTIONet automatic cell annotation ACTONet’s cell annotation tool uses known marker genes, both positive and negative markers, to infer the most likely cell type for each cell, individually. First, it uses a network-based diffusion method over the ACTIONet network to impute the expression of ...
Single-cell RNA-sequencing (scRNA-seq) has become a widely used tool for both basic and translational biomedical research. In scRNA-seq data analysis, cell type annotation is an essential but challenging step. In the past few years, several annotation tools have been developed. These methods req...
“Times” : The score of the first predicted celltype / The score of the second predicted celltype If you use SCSA for your research, please kindly cite the following paper: Cao Y, Wang X and Peng G (2020) SCSA: A Cell Type Annotation Tool for Single-Cell RNA-seq Data. Front. Gene...
Cell type annotation is a crucial step in analyzing single-cell RNA sequencing data, yet manual annotation is time-consuming and partially subjective. As an alternative, tools have been developed for automatic cell type identification. Different strategies have emerged to ultimately associate gene ...
(using SVM as the base classifier) to correct the cell type annotation of each dataset obtained directly from their original study. This has led to the correction of 28 [1], 12 [5], 73 [4], and 9 [28] cells corresponding to 2.6%, 3.3%, 2.4%, and 1.3% of all cells in each ...
Cell type annotation Assigning cell identities to cell subpopulations, a process known as cell type annotation, is a critical step in scRNA-seq data analysis [152]. Manual annotation of cell types is time-consuming and potentially subjective. Thus, emerging computational tools have been developed fo...
NSAccessibilityAnnotationPosition NSAccessibilityAttributes NSAccessibilityCustomAction NSAccessibilityCustomRotor NSAccessibilityCustomRotorItemResult NSAccessibilityCustomRotorItemSearchDelegate NSAccessibilityCustomRotorSearchDirection NSAccessibilityCustomRotorSearchParameters NSAccessibilityCustomRotorType NSAccessibilityElement NS...
NSAccessibilityAnnotationPosition NSAccessibilityAttributes NSAccessibilityCustomAction NSAccessibilityCustomRotor NSAccessibilityCustomRotorItemResult NSAccessibilityCustomRotorItemSearchDelegate NSAccessibilityCustomRotorSearchDirection NSAccessibilityCustomRotorSearchParameters NSAccessibilityCustomRotorType NSAccessibilityElement NS...