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NeuroSim for Windows 丨 神经生理学教学软件培训 |
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上课地点:【上海】:同济大学(沪西)/新城金郡商务楼(11号线白银路站) 【深圳分部】:电影大厦(地铁一号线大剧院站)/深圳大学成教院 【北京分部】:北京中山学院/福鑫大楼 【南京分部】:金港大厦(和燕路) 【武汉分部】:佳源大厦(高新二路) 【成都分部】:领馆区1号(中和大道) 【广州分部】:广粮大厦 【西安分部】:协同大厦 【沈阳分部】:沈阳理工大学/六宅臻品 【郑州分部】:郑州大学/锦华大厦 【石家庄分部】:河北科技大学/瑞景大厦
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1、如有部分内容理解不透或消化不好,可免费在以后培训班中重听;
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☆4、合格学员免费颁发相关工程师等资格证书,提升您的职业资质。 |
☆课程大纲☆ |
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- EnzFitter是一款通用的曲线拟合软件,特别适用于分析酶动力学实验。内置模块包括有或没有底物抑制/非竞争以及混合抑制的米式方程等模块,并可以自定义添加模块,非常适用于酶动力学实验分析,例如:通过对单个或两个基层数率的置信界限得到开始的比率和参数值。
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- EnzFitter内置强大的功能,可以批处理模式运行,并且支持OLE自动化。可以根据拟合的标准曲线计算未知数。可以创建附加到任何文件,数据或曲线拟合的文本注释。
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- Biosoft EnzFitter主要特性:
- 1. EnzFitter是一种通用的曲线拟合软件包,具有专门设计用于特别适用于酶动力学实验分子的自定义功能。例如,初始速率和参数值可以通过他们对于单基质速率数据和双基质速率数据的置信限来获得。内置模型包括具有或不具有底物抑制作用的Michaelis-Menten,竞争性,无竞争性和混合抑制作用,三元复合物或有序bi-bi系统以及有和无底物抑制的乒乓球。您可以使用传统的代数语法轻松添加其他模型。
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- 2. 数据导入格式包括EnzFitter for DOS文件以及ASCII分隔符,dBase,FoxPro,Excel,Quattro Pro,Lotus123,Paradox和Symphony。文件和数据集大小仅受可用内存的限制,并且可以为每个文件创建多个数据集。有先进的数据编辑功能,包括:插入/编辑/删除点,复制和移动数据块和编辑列标题。照顾缺少数据和复制品。可以显示和导出数据的描述性统计工具。工作表使可自定义的(例如字体,颜色,边框,行高和列宽),当打印数据时,可以给自定义页眉或页脚。您可以随时插入新的列或行。提供了许多数据转换,或者您可以创建自己的转换方程。您可以为经常使用的数据格式创建模板,并结合图模板实现常规检测的自动化。
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- 3. 可以使用Marquardt或Simplex算法对任何数据集执行多重曲线拟合。可以对数据进行稳健,统计,比例或显式值加权。遗传算法可以生成出色的初始参数估计值,但参数可以被限制在一定范围内,或者在必要时固定。结果以表格和图形形式呈现,并可以绘制原始数据和拟合数据的推行,并且为了区分数据集,您可以选择各种符号,半连续线和添加标签。可以在主图上插入额外数据集的附属图,相同数据的残差和变换/衍生图。
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- 4. EnzFitter可以设置为以批处理模式运行(自动执行多个分析,无需用户干预),并且还支持OLE自动化。对于更一般的化验用途,您可以根据拟合的标准曲线计算未知数。您可以创建附加到任何文件,数据集或曲线拟合的文本注释。还有一个自动记录日志记录对给定文件所做的所有更改。
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- Enzyme Kinetics and Curve Fitting
- EnzFitter is a generic curve-fitting package which has custom features designed to make it especially suitable for analysis of enzyme kinetics experiments. For example, initial rate and parameter values can be obtained with their confidence limits for single and twin substrate rate data. Built-in models include Michaelis-Menten with or without substrate inhibition, competitive, uncompetitive and mixed inhibition, ternary complex or ordered bi-bi systems and ping-pong with and without inhibition by substrates. You can easily add other models in conventional algebraic syntax.
- Data import formats include EnzFitter for DOS files as well as ASCII delimited, dBase, FoxPro, Excel, Quattro Pro, Lotus 123, Paradox and Symphony. File and dataset sizes are limited only by available memory and multiple data sets can be created for each file. There are advanced data editing facilities including: insert/edit/remove points, copy and move blocks of data and edit column titles. Missing data and replicates are catered for. Descriptive statistics of the data can be displayed and exported. The worksheet is customizable (e.g. font, colors, borders, row height and column width) and when data are printed they can be given custom headers or footers. You can insert new columns or rows at any time. Many data transforms are supplied or you can create your own equations for transforms. You can create templates for data formats you use frequently which, combined with graph templates virtually automate routine assays.
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- Multiple curve fits can be performed for any data set using either the Marquardt or Simplex algorithms. Optionally, data can be weighted robustly, statistically, proportionally or with explicit values. A genetic algorithm generates excellent initial parameter estimates but parameters can be constrained to a range of values or fixed when necessary. The results are presented in tabular and graphic form and can be saved to disk, printed or exported to other programs. Export formats include, for graphs, Bitmaps, Metafiles, JPG or TIF and, for numeric results, ASCII delimited and Excel. Graphs of raw and fitted data can be plotted and, to distinguish datasets, you can select a variety of symbols, semi-continuous lines and also add labels. Subsidiary graphs of extra sets of data, residuals and transformed /derivative plots of the same data can be inset on the main graph.
- EnzFitter can be set up to run in batch mode (performing several analyses automatically, without user intervention) and it also supports OLE Automation. For more general assay use, you can calculate unknowns from fitted standard curves. You can create text Notes that are attached to any file, dataset or curve fit. There is also an automatic Logbook which records all changes made to a given file.
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