isobar-analysis(isobar)
isobar-analysis()所属R语言包:isobar
IBSpectra analysis: Protein and peptide ratio calculation
IBSpectra分析:蛋白质和多肽的比例计算
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Calculates the relative abundance of a peptide or protein in one tag compared to another.
计算相比,另一个在一个标记的肽或蛋白质的相对丰度。
用法----------Usage----------
estimateRatio(ibspectra, noise.model = NULL, channel1, channel2, protein, peptide, ...)
estimateRatioForPeptide(peptide, ibspectra, noise.model, channel1, channel2, combine = TRUE, ...)
estimateRatioForProtein(protein, ibspectra, noise.model, channel1, channel2, combine = TRUE, method = "isobar", specificity = REPORTERSPECIFIC, quant.w.grouppeptides = NULL, ...)
## S4 method for signature 'numeric,numeric,missing'
estimateRatioNumeric(channel1,channel2,summarize.f=median, ...)
## S4 method for signature 'numeric,numeric,NoiseModel'
estimateRatioNumeric(channel1,channel2,noise.model,ratiodistr=NULL,variance.function="maxi",
sign.level=0.05,sign.level.rat=sign.level,sign.level.sample=sign.level,
remove.outliers=TRUE,outliers.coef=1,outliers.trim=0,
n.sample=NULL,method="isobar",fc.threshold=1.3,
channel1.raw=NULL,channel2.raw=NULL,use.na=FALSE)
## S4 method for signature 'IBSpectra,ANY,character,character,character,missing'
estimateRatio(ibspectra,noise.model,channel1,channel2,
protein,peptide,...)
## S4 method for signature 'IBSpectra,ANY,character,character,character,NULL'
estimateRatio(ibspectra,noise.model,channel1,channel2,
protein,peptide=NULL,...)
## S4 method for signature 'IBSpectra,ANY,character,character,missing,character'
estimateRatio(ibspectra,noise.model,channel1,channel2,protein,peptide,...)
## S4 method for signature 'IBSpectra,ANY,character,character,NULL,character'
estimateRatio(ibspectra,noise.model,channel1,channel2,protein=NULL,peptide,...)
参数----------Arguments----------
参数:ibspectra
IBSpectra object.
IBSpectra对象。
参数:noise.model
NoiseModel object.
NoiseModel对象。
参数:channel1
Tag channel 1. Can either be a character denoting a 'reporter name' or a numeric vector whose value should be summarized.Ratio is calculated as channel2/channel1.
标签通道1。可以是一个字符表示一个“名记者”或数字向量,其价值应该是summarized.Ratio是作为channel2/channel1计算。
参数:channel2
Tag channel 2. Can either be a character denoting a 'reporter name' or a numeric vector whose value should be summarized. Ratio is calculated as channel2/channel1.
标签通道2。可以是一个字符表示一个记者的名字,或一个数值向量,其值应总结。比是作为channel2/channel1计算。
参数:protein
Protein(s) of interest. If present, channel1 and channel2 must be reporter names. Provide either proteins or peptides.
蛋白(S)的利益。如果存在,通道1和通道必须是记者的名字。提供任何蛋白质或多肽。
参数:peptide
Peptide(s) of interest. If present, channel1 and channel2 must be reporter names. Provide either proteins or peptides.
肽(S)的利益。如果存在,通道1和通道必须是记者的名字。提供任何蛋白质或多肽。
参数:combine
If true, a single ratio is returned even for multiple peptides/spectra. If false, a data.frame with a row for each peptide/protein is returned.
如果为true,返回一个单一的比例甚至多个肽/光谱。如果为false,则返回与一排每个肽/蛋白质数据框。
参数:specificity
See specificities.
看到specificities。
参数:quant.w.grouppeptides
Proteins which should be quantified with group specific peptides. Normally, only reporter specific peptides are used.
应量化组特定的肽的蛋白质。通常情况下,只有特定的肽记者。
参数:ratiodistr
distr object of ratio distribution.
distr对象的比例分配。
参数:variance.function
Defines how the variance for ratio is calculated. 'ev' is the estimator variance and thus 1/sum(1/variances). 'wsv' is the weighted sample variance. 'maxi' method takes the maximum of the former two variances.
定义如何计算方差比。 “EV”的估计方差,从而1/sum的(1/variances)。 “WSV”加权样本方差。 “MAXI”的方法,前两个差异最大。
参数:sign.level
Significiance level.
significiance水平。
参数:sign.level.rat
Signal p-value significiance level.
信号p值significiance水平的。
参数:sign.level.sample
Sample p-value significiance level.
样品P-的价值significiance水平。
参数:remove.outliers
Should outliers be removed?
离群应该被删除?
参数:outliers.coef
outliers removal by boxplot.stats, see coef in boxplot.stats.
离群由boxplot.stats去除,看到boxplot.stats系数。
参数:outliers.trim
If this value is not zero, outliers will be removed using trimmed mean approach.
如果此值不为零,离群使用修剪平均方法将被删除。
参数:n.sample
For testing purposes: Only take a subset (sample) of the data.
出于测试目的:只需要一个数据子集(样本)。
参数:method
method taken for ratio computation and selection: one of 'isobar','libra','multiq','pep','ttest' and 'compare.all'.
方法采取比例计算和选择:“压线”,“天秤座”,“multiq”,“打气”,“TTEST”和“compare.all。
参数:fc.threshold
When method equals fc, takes this as fold change threshold.
当方法等于FC,这是褶皱的变化阈值。
参数:summarize.f
A method for summarizing spectrum ratios when no other information is available. For example median or mean.
总结时,没有其他的信息是可用的频谱比方法。例如median或mean。
参数:channel1.raw
When given, noise estimation is based on channel1.raw and channel2.raw. These are the intensities of the channels before normalization.
当给定,噪声估计是基于上channel1.raw和channel2.raw。这些渠道标准化前的强度。
参数:channel2.raw
See channel1.raw.
看到channel1.raw。
参数:use.na
Use NA values to calculate ratio. Experimental.
使用无值来计算的比率。实验。
参数:...
Passed down to estimateRatioNumeric methods.
流传estimateRatioNumeric的方法。
值----------Value----------
In general, a named character vector with the following elements: - lratio: log ratio - variance - n.spectra: number of spectra available in the ratio calculation - p.value.rat: Signal p-value. NA if called w/o ratiodistr - p.value.sample: Sample p-value. NA if called w/o ratiodistr - is.significant: NA if called w/o ratiodistr
在一般情况下,具有下列元素命名的特征向量: - lratio:log比 - 方差 - n.spectra:数的比例计算光谱 - p.value.rat:信号的p值。不适用,如果称为W / O ratiodistr - p.value.sample:样品的p值。不适用,如果称为W / O ratiodistr - is.significant:NA如果称为W / O ratiodistr
If combine=FALSE, estimateRatio returns a data.frame, with columns as described above.
如果结合= FALSE,estimateRatio返回如上所述的列数据框。
作者(S)----------Author(s)----------
Florian P. Breitwieser, Jacques Colinge
参见----------See Also----------
ProteinGroup, IBSpectra, isobar-preprocessing, isobar-plots proteinRatios
ProteinGroup,IBSpectra,压线,预处理,等压线图proteinRatios
举例----------Examples----------
data(ibspiked_set1)
data(noise.model.hcd)
ceru.human <- protein.g(proteinGroup(ibspiked_set1),"CERU_HUMAN")
ceru.rat <- protein.g(proteinGroup(ibspiked_set1),"CERU_RAT")
ceru.mouse <- protein.g(proteinGroup(ibspiked_set1),"CERU_MOUSE")
ceru.proteins <- c(ceru.human,ceru.rat,ceru.mouse)
## Calculate ratio based on all spectra of peptides specific [#计算比例的基础上所有的肽特定的光谱]
## to CERU_HUMAN, CERU_RAT or CERU_MOUSE. Returns a named[#CERU_HUMAN,CERU_RAT或CERU_MOUSE。返回一个名为]
## numeric vector.[#数字向量。]
10^estimateRatio(ibspiked_set1,noise.model.hcd,
channel1="114",channel2="115",
protein=ceru.proteins)['lratio']
## If argument 'combine=FALSE', estimateRatio returns a data.frame [#如果参数为FALSE相结合,estimateRatio返回数据框]
## with one row per protein[#每一个蛋白质一行]
10^estimateRatio(ibspiked_set1,noise.model.hcd,
channel1="114",channel2="115",
protein=ceru.proteins,combine=FALSE)[,'lratio']
## spiked material channel 115 vs 114: [#尖刺材料渠道115比114:]
## CERU_HUMAN (P00450): 1[,#CERU_HUMAN(P00450):1]
## CERU_RAT (P13635): 2[,#CERU_RAT(P13635):2]
## CERU_MOUSE (Q61147): 0.5[,#CERU_MOUSE(Q61147):0.5]
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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