damage(joda)
damage()所属R语言包：joda
Knockout data for three regulators: ATM, RelA and p53 in two different cell populations: healthy (referred to as normal) cells and cells treated with neocarzinostatin (referred to as damaged cells).
淘汰赛三个稳压器的数据：ATM，RelA和在两个不同的单元群P53：健康（简称为正常）与neocarzinostatin（简称受损单元）的单元和单元。
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Knockout expression data for the kinase ATM and transcription factors p53 and RelA (Elkon et al., 2005), as well as knowledge about their targets and mutual regulatory relations in two different cell populations: healthy and damaged cells.
健康和受损单元激酶ATM和转录因子p53和关系（。Elkon等，2005），以及有关他们的目标，并在两个不同的单元群的相互调控关系的认识：淘汰赛表达数据。
用法----------Usage----------
data(damage)
格式----------Format----------
data.healthy (data.frame): 8463x3, beliefs.healthy (list): 2, model.healthy (matrix): 3x3, data.damage (data.frame): 8463x3, beliefs.damage (list): 1,
data.healthy（数据框）：8463x3，beliefs.healthy（名单）：2，model.healthy（矩阵）的3x3，data.damage（数据框）：8463x3，beliefs.damage（名单）：1，
model.damage (matrix): 3x3.
model.damage（矩阵）：3x3的。
Details
详情----------Details----------
The data.healthy dataset contains log gene expression ratios for the regulator knockouts versus control. For the genes that are known to be targeted by RelA and genes that are targeted by p53 in normal conditions, beliefs.healthy contains certainties (beliefs) that those targets are differentially expressed upon their regulator's knockdown. The model.healthy matrix represents mutual signaling relations between the regulators in the healthy cells (here the model reflects that no regulator influences others). The data.damage dataset contains log gene expression ratios for the regulator knockouts upon treatment with neocarzinostatin versus treatment with neocarzinostatin alone. For the genes that are known to be targeted by p53 in the damaged cells, beliefs.damage contains certainties (beliefs) that they are differentially expressed upon the knockdown of p53. The model.damage matrix represents mutual signaling relations between the regulators in the damaged cells (here the model reflects ATM signaling down to RelA and p53).
data.healthy集包含log基因表达的调节与控制击倒率。对于被称为是由相对有针对性的基因，并针对在正常情况下是由p53基因，beliefs.healthy包含的确定性（信仰），这些目标的差异表达他们的稳压器的击倒后。 model.healthy矩阵代表在健康单元（这里的模型反映，没有调节影响他人）的监管机构之间的相互信号的关系。 data.damage集包含log基因调节击倒后与治疗neocarzinostatin与治疗单独与neocarzinostatin的表达率。对于被称为针对受损单元通过p53基因，beliefs.damage包含P53击倒后差异表达他们的确信（信念）。 model.damage矩阵代表在受损单元（这里的模型反映了ATM信令关系和p53）的监管机构之间的相互信号的关系。
作者（S）----------Author(s)----------
Ewa Szczurek
参考文献----------References----------
举例----------Examples----------
data(damage)
str(data.damage)
str(beliefs.damage)
print(model.damage)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
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发表于 2012-2-25 22:47:44
