TargetSearchGUI(TargetSearch)
TargetSearchGUI()所属R语言包：TargetSearch
A GUI for TargetSearch
TargetSearch的一个图形用户界面
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Opens a Graphical User Interface (GUI, written using Tcl/Tk) to allow easy setting and manipulation of most processing parameters which control GC-MS Data Evaluation with TargetSearch.
打开一个图形用户界面（图形用户界面，使用的Tcl / Tk编写）最，其中控制与TargetSearch的GC-MS分析数据评价的工艺参数，以方便的设置和操纵。
用法----------Usage----------
TargetSearchGUI()
Details
详情----------Details----------
The GUI is intended to facilitate the use of TargetSearch for users unfamiliar with R otherwise. Many parameters that would be set calling the individual TargetSearch Functions as described in the manual can be set here 'in one go' before running the complete analysis.
GUI的目的是为了方便用户不熟悉ŕ否则使用TargetSearch。将设置调用个人TargetSearch功能手册中所描述的许多参数可以在这里设置走之前运行完整的分析。
Important Note: Please select the folder where you store your GC-MS Data (NetCDF or Apex) as the Working Directory. It is not yet possible to process data files from other/different locations.
注意事项：请选择文件夹，其中存储的GC-MS数据（NetCDF或APEX）Working Directory。它是不是还可以从其他不同地点/处理数据文件。
The parameters:
参数：
Working Directory: Use the Browse-button to select the folder on your hard drive containing all your GC-MS data files. The output of TargetSearch will be written to this folder too.
Working Directory：使用“浏览”按钮，选择在您的硬盘驱动器包含您所有的GC-MS数据文件的文件夹。输出TargetSearch将被写入到这个文件夹。
File Import: Clicking NetCDF Data or Apex Data radio buttons will open a file select dialog. Choose the files you would like to be processed. You may check your selection pressing the Show-button.
File Import：点击NetCDF的数据或顶点数据的单选按钮，将打开一个文件选择对话框。选择你想处理的文件。按显示按钮，你可以检查您的选择。
Baseline Correction: Clicking on/off button will perform baseline correction before peak detection. If selected, the threshold parameter is a numeric value between 0 and 1. A value of one returns a baseline above the noise, 0.5 in the middle of the noise and 0 below the noise. See baselineCorrection for further details.
Baseline Correction：点击开/关按钮，将峰值检测前进行基线校正。如果选中，threshold参数是0和1之间的数值。一个基线以上的噪音，在中间的噪声和噪音低于0 0.5返回值。看到baselineCorrection作进一步的细节。
Retention Index Correction: Retention Index Correction is neccessary and applied only if you supply NetCDF Data (Apex Data contain already Retention Indices). You may Load or Create the search windows for your RI-Markers here.
Retention Index Correction：如果你提供NetCDF的数据，只保留指数校正是neccessary和应用（顶点数据包含已保留指数）。你可以加载或创建搜索窗口，在这里将RI标记。
Peak Detection: Search Windows refers to the allowed RI deviation of your metabolites which are narrowed in 3 consecutive searches. Intensity Counts threshold defines the minimum apex intensity incorporated in the analysis. A value of 1 would include all peaks. Mass Range allows to limit the mass values (m/z) to be included in the analysis. Smoothing averages raw data to eliminate some inherent noise leading to multiple peaks otherwise.
Peak Detection：搜索Windows是指允许你的代谢产物的RI差收窄，在连续3个搜索。强度计数阈值定义的分析纳入最低尖强度。值为1，将包括所有的山峰。质量范围，允许，限制被纳入分析的质量值（M / Z）。平滑平均原始数据，以消除一些固有的噪声，导致多峰否则。
Library: A Library (to detect metabolites) usable by TargetSearch contains at least information about the metabolite 'Name', its expected 'RI' and the selective masses in its spectrum 'SEL_MASS'. You may Load or Create one yourself using the respective buttons. The parameter no. of top masses is the number of most intensive masses that will be taken from the spectrum, and excluded masses is a list of masses that will be excluded. A more detailed description of the file formats can be found in ImportLibrary.
Library：图书馆（检测代谢物）可用由TargetSearch至少包含有关的代谢产物的“名”，其预期的“国际扶轮和其频谱SEL_MASS”选择性群众的信息。您可能加载或创建一个自己使用相应的按钮。没有参数。顶级群众是最密集的群众人数将采取从频谱，排斥群众将被排除在外的群众名单。一个更详细的说明，文件格式，可以发现在ImportLibrary。
Normalization: This selects how the data will be normalized during the metabolite search. Options are "dayNorm", a day based median normalization, "medianNorm", normalization using the median of all the intensities of a given mass, and "none", no normalization at all.
Normalization：如何标准化过程中的代谢产物的搜索数据将被选择。选项是"dayNorm"，每天的中位数标准化，"medianNorm"，标准化的使用给定质量的所有强度的中位数，"none"，都没有标准化。
Final Profiles: Here you may set the parameters used by the functions Profile and ProfileCleanUp. timesplit sets an RI window that will be used to look for metabolites that could have been redundanly identified. correl. thr. is the correlation threshold and min. number of correlation samples is a threshold used to make sure that correlations are computed with at least said number of observations.
Final Profiles：在这里你可以设置的功能Profile和ProfileCleanUp使用的参数。 timesplit设置RI窗口，将被用来寻找可能已经redundanly确定的代谢产物。 CORREL。 THR。是相关的阈值和最小。相关样本的数量是用来确保相关计算，至少有一个阈值的若干意见。
Parameters: You may Save the current parameters as an *.RData file or Load previously saved parameters to compare the outcome of different settings or just repeat the analysis.
Parameters：您可以保存当前参数*.RData文件或加载以前保存的参数进行比较的结果不同的设置，或重复刚才的分析。
Program: Run starts to process all currently selected files using the current parameters and saving output to Working Directory. Quit closes the GUI.
Program：运行开始处理所有当前选定的文件，使用目前的参数和输出保存到工作目录。退出关闭的GUI。
作者（S）----------Author(s)----------
Jan Lisec
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。
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发表于 2012-2-26 15:24:43
