ImmuCellAI / ImmuCellAI-mouse – Immune Cell Abundance Identifier / for mouse

ImmuCellAI / ImmuCellAI-mouse

:: DESCRIPTION

ImmuCellAI is a tool to estimate the abundance of 24 immune cells from gene expression dataset including RNA-Seq and microarray data, in which the 24 immune cells are comprised of 18 T-cell subtypes and 6 other immune cells: B cell, NK cell, Monocyte cell, Macrophage cell, Neutrophil cell and DC cell.

ImmuCellAI-mouse is the mouse version of ImmuCellAI. ImmuCellAI-mouse is a tool to estimate the abundance of 36 immune cells based on gene expression profile from RNA-Seq or microarray data. To ensure the prediction accuracy, we adopted a hierarchical strategy to classify the 36 cell types into three layers, which were presented as inclusion relation among different circles in the right figure.

::DEVELOPER

An-Yuan Guo’s Bioinformatics Laboratory

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Web Browser

:: DOWNLOAD

NO

:: MORE INFORMATION

Citation

Miao YR, Xia M, Luo M, Luo T, Yang M, Guo AY.
ImmuCellAI-mouse: a tool for comprehensive prediction of mouse immune cell abundance and immune microenvironment depiction.
Bioinformatics. 2021 Oct 12:btab711. doi: 10.1093/bioinformatics/btab711. Epub ahead of print. PMID: 34636837.

Miao YR, Zhang Q, Lei Q, Luo M, Xie GY, Wang H, Guo AY.
ImmuCellAI: A Unique Method for Comprehensive T-Cell Subsets Abundance Prediction and its Application in Cancer Immunotherapy.
Adv Sci (Weinh). 2020 Feb 11;7(7):1902880. doi: 10.1002/advs.201902880. PMID: 32274301; PMCID: PMC7141005.

TIMER – Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells

TIMER

:: DESCRIPTION

TIMER (Tumor IMmune Estimation Resource) is a comprehensive resource for the clinical relevance of tumor-immune infiltrates, including B cells, CD4 and CD8 T cells, neutrophils, macrophages and dendritic cells.

::DEVELOPER

X. Shirley Liu Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Cancer Res. 2017 Nov 1;77(21):e108-e110. doi: 10.1158/0008-5472.CAN-17-0307.
TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells.
Li T, Fan J, Wang B, Traugh N, Chen Q, Liu JS, Li B, Liu XS.

VirtualCytometry – Webserver for the Study of Immune Cell Differentiation using single-cell RNA sequencing data

VirtualCytometry

:: DESCRIPTION

VirtualCytometry is a webserver that provides computational platform for the study of immune cell differentiation using scRNA-seq data by enabling identification and validation of genes involved in immune cell differentiations via ‘Discovery Module’ and ‘Hypothesis Test Module’ respectively.

::DEVELOPER

Network Biomedicine Laboratory at Yonsei University, Korea

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Bioinformatics. 2019 Aug 2. pii: btz610. doi: 10.1093/bioinformatics/btz610.
VirtualCytometry: a webserver for evaluating immune cell differentiation using single-cell RNA sequencing data.
Kim K, Yang S, Ha SJ, Lee I.

CoD – Inferring Immune-Cell Quantities Related to Disease States

CoD

:: DESCRIPTION

CoD (Cell-type of Disease) is a classification-based approach that relies on computational immune-cell decomposition in gene-expression datasets.

::DEVELOPER

Irit Gat-Viks laboratory.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linuc

:: DOWNLOAD

CoD

:: MORE INFORMATION

Citation:

CoD: inferring immune-cell quantities related to disease states.
Frishberg A, Steuerman Y, Gat-Viks I.
Bioinformatics. 2015 Aug 26. pii: btv498.