找回密码
 注册
查看: 1297|回复: 0

R语言 TDARACNE包 TDARACNE()函数中文帮助文档(中英文对照)

[复制链接]
发表于 2012-2-26 15:27:34 | 显示全部楼层 |阅读模式
TDARACNE(TDARACNE)
TDARACNE()所属R语言包:TDARACNE

                                         TDARACNE
                                         TDARACNE

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

Main function, see P. Zoppoli, S. Morganella, M. Ceccarelli. TimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach. BMC Bioinformatics 2010, 11:154.
主要功能,见P. Zoppoli,S.摩,M.切卡莱利。 TimeDelay ARACNE:逆向工程从信息理论方法的时间,当然数据的基因网络。 BMC的生物信息学2010,11:154。


用法----------Usage----------


TDARACNE(eSet,N,delta=3,likehood=1.2,norm=2,logarithm=1,thresh=0,ksd=1,tolerance=0.15,plot=FALSE,dot=FALSE,name="youHaveForgottenIt",adj=FALSE)



参数----------Arguments----------

参数:eSet
eSet is the ExpressionSet object  
ESET是ExpressionSet对象


参数:N
N is respectively the number of bins in percentile normalization or in rank normalization  
N是分别在百分排名标准化标准化或箱


参数:delta
delta is the maximum time delay allowed to infer connections  
Delta是最大允许延迟时间来推断连接


参数:likehood
likehood is the fold change used as threshold to state the initial change expression (IcE)   
似然是褶皱的变化,作为阈值用来说明,初步改变了表达(ICE)


参数:norm
if you want column percentile normalization put norm == 1; if you want Rank normalization put norm == 2;  
如果你想列百分标准化提出规范== 1,如果你想排名标准化提出规范== 2;


参数:logarithm
if z is log put logarithm == 0;  
如果z是log把对数== 0;


参数:thresh
the Influence threshold. if you have a threshold and a SD put them here in this format: c(thresh,SD) if you don't have threshold put 0 in thresh;  
影响阈值。如果你有一个阈值,一个SD他们把这种格式在这里:C(阈值,SD)如果你没有阈值把阈值0;


参数:ksd
ksd is the standard deviation multiplier;  
KSD是标准差倍增;


参数:tolerance
tolerance is the DPI tolerance; 0 means no tolerance 1 means no DPI 0.15 is the default ARACNE tolerance as it is for TDARACNE  
宽容是DPI容忍; 0表示不容忍1意味着没有DPI的0.15是默认ARACNE的宽容,因为它是TDARACNE


参数:plot
plot must be TRUE to obtain automatically the graph  
图必须是TRUE自动获得图


参数:dot
dot must be TRUE to obtain a .dot file   
点必须是真实的获得。dot文件


参数:name
name must be written with quotation marks(like this:'examplename') and is the name of the .dot file produced;  
名称必须用引号(如:“examplename)书面点生成的文件的名称;


参数:adj
adj must be TRUE to obtain an adjacent matrix  
形容词必须是TRUE获得邻接矩阵


举例----------Examples----------


        ## take paper data[#走纸数据]
        library(TDARACNE)
        data(dataIRMAon)
        data(threshIRMAon)
        ## main function; in output gives to you and adj matrix and a .dot file[#的主要功能;输出给你和形容词矩阵和点文件。]
# eSet is the ExpressionSet object[ESET是ExpressionSet对象]
# N is respectively the number of bins in percentile normalization or in rank normalization[N是分别在百分排名标准化标准化或箱]
# delta is the maximum time delay allowed to infer connections[Delta是最大允许延迟时间来推断连接]
# likehood is the fold change used as threshold to state the initial change expression (IcE) [似然是褶皱的变化,作为阈值用来说明,初步改变了表达(ICE)]
# if you want column percentile normalization put norm == 1;[如果你想列百分标准化提出规范== 1;]
# if you want Rank normalization put norm == 2;[如果你想排名标准化把规范== 2;]
# if z is log put logarithm == 0;[如果z是log把对数== 0;]
# if you don't have threshold put 0 in thresh;[如果你没有阈值阈值0;]
# ksd is the standard deviation multiplier;[KSD是标准差倍增;]
# tolerance is the DPI tolerance;[宽容是DPI的耐受性;]
# plot must be TRUE to obtain automatically the graph[图必须是TRUE自动获得图]
# dot must be TRUE to obtain a .dot file [点必须是真实的获得。dot文件]
# name must be written with quotation marks(like this:'examplename') and is the name of the .dot file produced;[名称必须用引号(如:“examplename)书面点生成的文件的名称;]
# adj must be TRUE to obtain an adjacent matrix[形容词必须是TRUE获得邻接矩阵]

TDARACNE(dataIRMAon,11,"netIRMAon",delta=3,likehood=1.2,norm=2,logarithm=1,thresh=threshIRMAon,ksd=0,tolerance=0.15);

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。
注3:如遇到不准确之处,请在本贴的后面进行回帖,我们会逐渐进行修订。
回复

使用道具 举报

您需要登录后才可以回帖 登录 | 注册

本版积分规则

手机版|小黑屋|生物统计家园 网站价格

GMT+8, 2025-1-23 04:11 , Processed in 0.024626 second(s), 16 queries .

Powered by Discuz! X3.5

© 2001-2024 Discuz! Team.

快速回复 返回顶部 返回列表