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Q: Where you can get the manual for scanalyse software which is used for clustering microarray datasets?
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What has the author Vassilios Tzerpos written?

Vassilios Tzerpos has written: 'Comprehension-driven software clustering'


Consider a computing cluster consisting of two nodes running a databasedescribe two ways in which the cluster software can manage access to the data on the diskdiscuss the benefits and detriments of?

Consider the following two alternatives: asymmetric clustering andparallel clustering.With asymmetric clustering, one host runs thedatabase application with the other host simply monitoring it. If the serverfails, the monitoring host becomes the active server. This is appropriatefor providing redundancy. However, it does not utilize the potentialprocessing power of both hosts.With parallel clustering, the databaseapplication can run in parallel on both hosts. The difficulty implementingparallel clustering is providing some form of distributed lockingmechanism for files on the shared disk


What is the best software for data analysis: Stata, SPSS, or Excel?

The choice of software for data analysis depends on various factors such as the specific requirements of the analysis, the user's familiarity with the software, the complexity of the data, and the available resources. Each software you mentioned has its strengths and weaknesses: 1. SPSS (Statistical Package for the Social Sciences): SPSS is commonly used in the social sciences and is known for its user-friendly interface and extensive statistical capabilities. It provides a wide range of features for data management, descriptive statistics, regression analysis, and advanced statistical procedures. SPSS data analysis is often favoured by researchers who are less experienced in programming or command-line interfaces. 2. Stata: Stata is a comprehensive statistical software package offering various tools for data management, analysis, and visualization. It is commonly used in economics, social sciences, and epidemiology. Stata provides both a graphical user interface (GUI) and a command-line interface (syntax), allowing users to choose their preferred method of interaction. Stata is known for its efficient handling of large datasets, advanced statistical modelling, and ability to replicate complex analyses. 3. Excel: Excel is a widely used spreadsheet software that offers basic data analysis capabilities. It is often used for simple calculations, data entry, and basic descriptive statistics. Excel's familiarity, ease of use, and availability make it a popular choice among users who need to perform simple analyses or work with small datasets. However, Excel may not be suitable for complex statistical analyses or handling large datasets due to limitations in its statistical functions and data management features. Ultimately, the "best" software for data analysis depends on your specific needs and preferences. For basic studies and smaller datasets, Excel may suffice. However, for more advanced statistical analyses and larger datasets, SPSS and Stata are often considered more powerful and appropriate choices.


What is a gene clustering?

Simplistically it's grouping of genes from your biological organism of interest.This grouping can be carried out depending on your pre-requisites i.e your aim or scope of research. Various software's have various tabs and tools to carry the clustering where in you have to specify the parameters.Normally clustering is carried out to differentiate gene expression patterns from your experimental sample to your control sample.Depending on the software you use and the parameters you set, you get different kinds of gene clusters with similar patterns or opposite patterns.e.g:- You can clusters of genes with an increased expression level (this increase parameter can be set by you, say, 2 fold, 3 fold, 100 fold etc.) in your experimental sample to that of your control. Also you can cluster genes based on their biological function and then study their expression patterns.Hope this provides a brief picture. Any further queries can be sent to dathaa99atgmaildotcom.


What is the meaning of high availability clustering?

High availability clusters are groups of computers built by installing the same application software on more than one server and then connecting them onto a single base, so that if one component fails another can quickly take it's place.


Which version of Windows Server 2008 must computers be running to create a fail over cluster?

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Is spreadsheet a hardware or software?

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What is difference between distributed operating system and operating system?

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Is VDU a hardware or a software?

software


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System software,Programming software,Application software


Is compiler a system software or application software?

It is a system software.


Word processing software spreadsheet software database software and presentation software are examples of what category of computer software?

They are classified as being applications software.