发帖
雷达卡
摘要翻译：
在过去的几年里，出现了许多强有力的技术来测量蛋白质相互作用和基因表达。自从引入这些技术以来，已经取得了许多进展，但还没有朝着数据定量分析的方向发展。本文介绍了如何研究细胞适应和如何检测细胞亚群。此外，我们对信号转导通路的动力学进行了更深入的分析。
---
英文标题：
《Insights Into Quantitative Biology: analysis of cellular adaptation》
---
作者：
Valentina Agoni
---
最新提交年份：
2013
---
分类信息：
一级分类：Quantitative Biology 数量生物学
二级分类：Other Quantitative Biology 其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
--
---
英文摘要：
In the last years many powerful techniques have emerged to measure protein interactions as well as gene expression. Many progresses have been done since the introduction of these techniques but not toward quantitative analysis of data. In this paper we show how to study cellular adaptation and how to detect cellular subpopulations. Moreover we go deeper in analyzing signal transduction pathways dynamics.
---
PDF链接：
https://arxiv.org/pdf/1307.0451
京公网安备 11010802022788号
