Spatial registration of data on in situ gene expression

被引：2
|
作者：
Myasnikova, EM [1 ]
Samsonova, AA
Samsonova, MG
Reinitz, D
机构：
[1] Inst High Throughput Computat & Databases, St Petersburg 198005, Russia
[2] SUNY Stony Brook, Dept Appl Math & Stat, Stony Brook, NY 11794 USA
来源：
MOLECULAR BIOLOGY | 2001年 / 35卷 / 06期
基金：
美国国家卫生研究院;
关键词：
image registration; gene expression pattern; confocal microscopy; spline approximation; fruit fly; segmentation genes;
D O I：
10.1023/A:1013215108374
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
For registering data on the in situ expression of segmentation genes, a method of image registration was developed basing on the spline approximation. The reference points for the registration were the coordinates of extrema in one-dimensional patterns of gene expression. This registration method is characterized by a very high accuracy. A method of creating a generalized pattern of gene expression in single cells is proposed, Such patterns were constructed for nine segmentation genes belonging to the gap and pair-rule classes of genes.
引用
收藏
页码：955 / 960
页数：6
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