期刊
BIOINFORMATICS
卷 35, 期 20, 页码 4187-4189出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btz212
关键词
-
类别
资金
- ANR [ANR-11-INBS-0008]
- ANRS (France Recherche Nord & Sud Sida-HIV Hepatites)
- IDMIT infrastructure
Motivation: Flow and mass cytometry are experimental techniques used to measure the level of proteins expressed by cells at the single-cell resolution. Several algorithms were developed in flow cytometry to increase the number of simultaneously measurable markers. These approaches aim to combine phenotypic information of different cytometric profiles obtained from different cytometry panels. Results: We present here a new algorithm, called CytoBackBone, which can merge phenotypic information from different cytometric profiles. This algorithm is based on nearest-neighbor imputation, but introduces the notion of acceptable and non-ambiguous nearest neighbors. We used mass cytometry data to illustrate the merging of cytometric profiles obtained by the CytoBackBone algorithm.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据