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:
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