histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data.
about
Using single-cell multiple omics approaches to resolve tumor heterogeneity.Simultaneous Multiplexed Imaging of mRNA and Proteins with Subcellular Resolution in Breast Cancer Tissue Samples by Mass Cytometry.CellCycleTRACER accounts for cell cycle and volume in mass cytometry data.Compensation of Signal Spillover in Suspension and Imaging Mass Cytometry.Melanoma Immunotherapy: Next-Generation Biomarkers.Multi-Omics Profiling of the Tumor Microenvironment: Paving the Way to Precision Immuno-Oncology
P2860
histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
2017年论文
@zh
2017年论文
@zh-cn
name
histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data.
@en
type
label
histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data.
@en
prefLabel
histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data.
@en
P2093
P2860
P50
P356
P1433
P1476
histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data
@en
P2093
Charlotte Giesen
Daniel Schulz
Zsuzsanna Varga
P2860
P2888
P304
P356
10.1038/NMETH.4391
P50
P577
2017-08-07T00:00:00Z
P6179
1091082264