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Genes encoded by KEGG pathway (1)

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Takes a KEGG pathway (e.g. hsa00232), finds the proteins that those genes code for and returns the sequences of those proteins.

Created: 2010-04-30 | Last updated: 2010-05-01

Get KEGG gene descriptions and pathways (1)

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This workflow takes a list of KEGG gene identifiers and supplies descriptions associated to said genes + pathways including all genes and the descriptions associated to said pathways. The list_to_string local beanshell scripts merely transform a given list into a string of unique not-null elements separated by new lines (for batch btit use). Note that the input is a real taverna list : multiple values must be declared as multiple values instead of a single string value with distinct identif...

Created: 2010-04-30 | Last updated: 2010-04-30

Credits: Nadia Cerezo Paul Fisher

Attributions: Get Kegg Gene information

Transaction Analysis Demo from RM 5 Intro Day (1)

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This is the demo process presented at the RapidMiner 5 Intro Day. It combines customer segmentation with direct mailing. It loads some transaction data, aggregates and pivotes the data so it can be used by a clustering to perform a customer segmentation. Then, additional data is joined with the clustered data. First, response/no-response data is joined, and them some additional information about the users is added. Finally, customers are classified into response/no-response classes. The dat...

Created: 2010-04-30 | Last updated: 2010-05-05

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Presentation - myExperiment: where work flows

Created: 2010-04-30 07:52:34 | Last updated: 2010-04-30 07:52:49

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Stacking (1)

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RapidMiner supports Meta Learning by embedding one or several basic learners as children into a parent meta learning operator. Here, we use a three base learners inside the stacking operator: decision tree induction, linear regression, and a nearest neighbours classifier. Finally, a Naive Bayes learner is used as a stacking learner which uses the predictions of the preceeding three learners to make a combined prediction.

Created: 2010-04-29

Crossvalidation with SVM (1)

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Performs a crossvalidation on a given data set with nominal label, using a Support Vector Machine as a learning algorithm. Inside the cross validation, the first subprocess generates an SVM model, and the second subprocess evaluates it. applying it on a so-far unused subset of the data and counting the misclassifications.

Created: 2010-04-29

Looping over Examples for doing de-aggrega... (1)

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This process is based on (artificially generated) data that looks like it has been aggregated before. The integer attribute Qty specifies the quantity of the given item that is represented by the rest of the example. The process now loops over every example and performs on each example another loop, that will append the current example to a new example set. This example set has been created as empty copy of the original example set, so that the attributes are equally. To get access to and rem...

Created: 2010-04-29

ChEBI mashup from searched string (1)

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A demo showing hoe to use SOAP services from Bio2RDF ChEBI SPARQL endpoint.A demo showing hoe to use SOAP services from Bio2RDF ChEBI SPARQL endpoint. First a full text search query is done, then we do a reverse link query to get all the related topic. Finally with a describe queries we obtain the complete graph of each topic. The ntriples result is a mashup of what is known about this searched topic form ChEBI. This graph can then be loaded in a triplestore for further exploration.

Created: 2010-04-29

Credits: Francois Belleau

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Presentation - myExperiment Supporting social curati...

Created: 2010-04-27 14:20:54 | Last updated: 2010-04-27 14:21:19

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Presentation - Research Objects: towards exchange an...

Created: 2010-04-26 20:13:05 | Last updated: 2010-04-26 20:21:10

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Presentation - Anchors in the Shifting Sand: The Pri...

Created: 2010-04-26 19:26:44 | Last updated: 2010-07-04 14:38:35

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Get survey data from SurveyMapper (2)

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Extracting public data (such as public surveys and their questions) from SurveyMapper. SurveyMapper (http://www.surveymapper.com/) a free real-time geographic survey and polling tool from the nice people at the Centre for Advanced Spatial Analysis, University College London.

Created: 2010-04-21 | Last updated: 2010-06-18

Credits: Alex Nenadic

Census data service (1)

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Census data services, invoked with a fixed SQL query

Created: 2010-04-21 | Last updated: 2010-04-21

Credits: Alex Nenadic

Census data and PRM services integration (1)

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This workflow combines services that provide census data with PRM (Population Reconstruction Model) services.

Created: 2010-04-21 | Last updated: 2010-04-21

Credits: Alex Nenadic

retrieve data for all instruments for even... (1)

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This workflow uses the HEC to retrieve events for a time spane given by the user from a HEC table given by the user as well. It uses all instruments available in the DPAS to retrieve data for the events Output: XML as returned by the DPASThis workflow uses the HEC to retrieve events for a time spane given by the user from a HEC table given by the user as well. It uses all instruments available in the DPAS to retrieve data for the events; empty results are filtered out, the data is combind wi...

Created: 2010-04-21

Credits: Anja Le Blanc

Attributions: DPAS general query HEC standard query Retrieve all data for all instruments for a given periode of time

DPAS general query with sorted field (1)

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same as DPAS general query. Calling the DPAS sortedQuery web service. additional input: partialSorting input boolean true or false false all result entries are sorted by start measurementTime true each request is sorted by measurement time; no overall time order, but queries stay in the order they there asked.

Created: 2010-04-19 | Last updated: 2010-04-19

Credits: Anja Le Blanc

DPAS general query (1)

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general query to DPAS; it gets a list of instruments and lists for start and stop times; for a query hessiEC, phoenix2; start times 2001-01-01 00:00:00, 2005-04-01 00:00:00; stop times 2001-01-05 00:00:00, 2005-05-1 00:00:00 it would perform to queries: hessiEC from 2001-01-01 00:00:00 to 2001-01-05 00:00:00 and phoenix2 from 2005-04-01 00:00:00 to 2005-05-1 00:00:00 There is only one output file with the results from both queries.

Created: 2010-04-19 | Last updated: 2010-04-19

Credits: Anja Le Blanc

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A Model for the Rehabilitation of Witness Perspectiv...

Created: 2010-04-19 09:26:58

Credits: M. Kirsh

License: Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License

File type: Adobe PDF

Comments: 0 | Viewed: 65 times | Downloaded: 48 times

HEC standard query (1)

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calls the HEC web service; inputs are start and stop time, which table should be queried and an optional where clause, as in an SQL statement output is of VOTable format

Created: 2010-04-16

DPAS simpel query workflow (1)

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call of the simpleQuery web service; all inputs are requested from the user; xml list as output file format

Created: 2010-04-16