data analysis techniques for protein function microarrays

... protein microarrays [3] A 'functional protein microarray' contains a set of proteins individually produced and positioned in an addressable format on a microarray surface Functional protein microarrays ... functional protein microarrays in comparison to antibody arrays, and, therefore, the normalization techniques used for DNA microarrays are usually not directly applicable to functional protein microarrays ... Discussion Functional protein microarrays serve as an efficient platform for screening protein biochemical functions Here we present ProCAT as a systematic approach to process and analyze data Trang...

Ngày tải lên: 14/08/2014, 17:22

... in the literature See Technical Data Sheets for details. For additional information please access the Immune Function Homepage at www.bdbiosciences.com/immune_function Trang 3Table of ContentsPreface ... Cell Surface Molecules for Flow Cytometric Analysis 9Chapter 2: BD™ Cytometric Bead Array (CBA) Multiplexing Assays 35Chapter 3: BD™ DimerX MHC:Ig Proteins for the Analysis of Antigen-specific ... for Flow Cytometric Analysis, and Bioassays have beenrevised as well with a presentation of new reagents and methods discussedtherein For additional information please access the new Immune Function...

Ngày tải lên: 11/04/2014, 10:34

... 491–492 Trang 7Data Preparation for Data Mining Trang 8deep intimacy, customer relationships, data selection, 62–63 Trang 9E Trang 10F F tests (Ronald A Fisher), 183–184 fax machines, link analysis, ... relational database management identified versus anonymous 297–298 chains as, 15–16 information gain, entropy, 178–180 information technology, data 16–17 Inmon, Bill (Building the Data Trang ... proportional scoring, census data, 94–95 gathering, 109–110 people most influenced by, 106–107 messages, selecting appropriate, Business Modeling and Data Mining Data Preparation for Data Mining Trang...

Ngày tải lên: 21/06/2014, 04:20

... California based on data that excludes calls to Los Angeles Step Six: Transform Data to Bring Information to the Surface Once the data has been assembled and major data problems fixed, the data ... data Different data mining tasks call for different ways of assessing performance of the model as a whole and different ways of judging the likelihood that the model yields accurate results for ... the model set Unfortunately, data miners are not always good about keeping a clean, reusable record of the transformations they applied to the data The challenging in deploying data mining models...

Ngày tải lên: 21/06/2014, 04:20

... fertilizer, for instance To understand what has an effect on crop yields, he invented new techniques (such as analysis of variance—ANOVA) and performed perhaps a million cal­culations on the data he ... becomes a customer, there is a golden opportunity to gather more information Before the transformation from prospect to cus­tomer, any data about prospects tends to be geographic and demographic Purchased ... together can be used to purchase household-level informa­tion about prospects from providers of marketing data This sort of data is use­ful for targeting broad, general segments such as “young...

Ngày tải lên: 21/06/2014, 04:20

... customers in California for the challenger and everyone else for the champion ■■ Use the 5 percent lowest and 5 percent highest value customers for the challenger, and everyone else for the champion ... randomly from the whole population for the difference of proportions method to work Trang 4Size of Sample The formulas for the standard error of a proportion and for the standard error of a difference ... response rates, rather than the rates themselves Just as there is a formula for the standard error of a proportion, there is a formula for the standard error of a difference of propor­ By the difference...

Ngày tải lên: 21/06/2014, 04:20

... a useful for neural networks SIGMOID FUNCTIONS AND RANGES FOR INPUT VALUES The sigmoid activation functions are S-shaped curves that fall within bounds For instance, the logistic function ... test set to see how well it performs 7 Apply the model generated by the network to predict outcomes for unknown inputs Fortunately, data mining software now performs most of these steps auto­matically ... transfer functions: the sigmoid (logistic), linear, and hyperbolic tangent functions The specific values that the transfer function takes on are not as important as the general form of the function...

Ngày tải lên: 21/06/2014, 04:20

... applied to data These patterns can be turned into new features of the data, for use in conjunction with other directed data mining techniques Trang 4Automatic Cluster Detection The data mining techniques ... that can be used for further mining Some data and data mining problems naturally involve links As the two case studies about telephone data show, link analysis is very useful for telecommunications—a ... happening Link analysis offers an alternative way of looking at data, different from the formats of relational databases and OLAP tools Links may suggest important patterns in the data, but the...

Ngày tải lên: 21/06/2014, 04:20

... cus­tomer databases often contain data on millions of customers and former customers Much of the statistical background of survival analysis is focused on extracting every last bit of information ... the data speak instead of finding a special function to speak for it Empirical hazard probabilities simply let the historical data determine what is likely to happen, without trying to fit data ... hundred data points In data mining applications, the volumes of data are so large that statistical con­cerns about confidence and accuracy are replaced by concerns about manag­ing large volumes of data...

Ngày tải lên: 21/06/2014, 04:20

... data mining, though, are the unknown ones Sometimes, data problems are hidden by intervening systems In particular, some data warehouse builders abhor missing data So, in an effort to clean data, ... possibilities for doing the transformation work: ■■ Source system, typically in databases of some sort (either operational or decision support) ■■ Data extraction tools (used for populating data warehouses ... relational databases or mainframe systems Often, these systems are highly restricted, because they have many users Such source systems are not viable platforms for performing data transformations...

Ngày tải lên: 21/06/2014, 04:20

... quantities of real data to use for training sets Consequently, they spent much time and effort trying to coax the last few drops of information from their impoverished datasets—a problem that data miners ... searches for the split that reduces entropy (or, equivalently, increases information) by the greatest amount For a binary target variable such as the one shown in Figure 6.5, the formula for the ... same Gini score, the score for the split is the same as for either of the two nodes Trang 4Entropy Reduction or Information Gain Information gain uses a clever idea for defining purity If a leaf...

Ngày tải lên: 21/06/2014, 21:20

... These are exam­ples where market basket analysis can help to describe the differences and serve as an example of using market basket analysis for directed data mining How can association rules ... the time-series data to apply the market basket analysis In order to use time series, the transaction data must have two additional features: ■■ A timestamp or sequencing information to determine ... to which patients? These relationships are all visible in data, and they all contain a wealth of informa­tion that most data mining techniques are not able to take direct advantage of In our...

Ngày tải lên: 21/06/2014, 21:20

... corporate databases One solution is to augment databases with purchased information Of course, such appended data elements are never available for every customer, and, although such appended data ... benefit from analysis, particularly around sales force automation tools Data mining analysis can help such groups work better, by providing an under­ standing of what is really going on Data can ... single company using data mining on its own to understand customer behavior In some jurisdictions, it may be illegal to use information collected for operational purposes for another purpose such...

Ngày tải lên: 21/06/2014, 21:20

... required for completing a data mining project Among them, the team members should cover the following: ■■ Database skills (SQL, if the data is stored in relational databases) ■■ Data transformation ... requirements Trang 12The Mining Platform The mining platform supports software for data manipulation along with data mining software embodying the data mining techniques described in this book, ... The data mining software vendor should be able to provide specifications for a data mining platform adequate for the anticipated dataset sizes and expected usage patterns The Scoring Platform...

Ngày tải lên: 21/06/2014, 21:20

... alone For example, dimensional modeling is not very suitable formaking large, corporatewide data models for a data warehouse With the changing data warehouse landscape and the need for data warehousemodeling, ... is the importance of data granularity, or level of detail of the data Chapter 6, “Data Modeling for a Data Warehouse” on page 35 presents thebasics of data modeling for the data warehouse Two major ... of data.There are several techniques for data analysis that are in common use today.They are query and reporting, multidimensional analysis, and data mining (seeFigure 1) They are used to formulate...

Ngày tải lên: 18/07/2014, 17:54

... Process of Data WarehousingThis chapter presents a basic methodology for developing a data warehouse.The ideas presented generally apply equally to a data warehouse or a data mart.Therefore, when ... detail is given for these techniques A separate chapter (see Chapter 8, “Data Warehouse Modeling Techniques” on page 81) is provided forthose requiring detailed knowledge of the techniques outlined ... some data warehouse function generatesimmediate benefits Delivery of a data warehouse is not typically an all-or-nothing proposition Because the emphasis of this book is on modeling for the data...

Ngày tải lên: 14/08/2014, 06:22

... Transforming the Data Data transformation is a critical step in any data warehouse development effort.Two major decisions must be made at this point: how to capture the source data,and a method for ... searching for patterns hidden in the unknown depths of the data.There are, in general, four steps in the process of making data available formining: data scoping, data selection, data cleaning, and data ... to correctly transform the data for mining purposes The second type of data cleaning (see 7.5.3, “Cleaning the Data” on page 72),data enhancement, is risky when preparing data for mining It is...

Ngày tải lên: 14/08/2014, 06:22

... able to perform information analysis using the data warehouse or the datamart For data warehouses, the granularity situation is even more complex.Fine granular recording of data in the data warehouse ... ofinformation end users use in their information analysis activities There aredifferent categories of information-oriented requirements that may be of interestfor the requirements analysis and data ... users are performing or would like to perform against the data warehouse being developed, and information oriented requirements, which represent the major information categories and data items...

Ngày tải lên: 14/08/2014, 06:22