Workflows

OpenTox Get Algorithms on TUM server (6)

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Get URIs of all available algorithms on TUM server

Created: 2010-05-11 | Last updated: 2011-05-11

OpenTox Apply Model On Dataset (3)

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Apply a model to predict a dataset

Created: 2010-05-11 | Last updated: 2010-05-11

OpenTox Apply Algorithm (7)

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Apply an OpenTox algorithm

Created: 2010-05-11 | Last updated: 2011-05-11

Defining positive class with Remap Binominal (1)

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This process shows how one can use the Remap Binominal operator to define which label value is treated as the positive class.

Created: 2010-05-11

iceLogo (1)

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This example workflow creates an iceLogo

Created: 2010-05-07 | Last updated: 2010-05-07

Credits: N. Colaert

Weighted Score Tables (1)

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This process calculates a weighted score as known from SAP BW. The first operator generates data similar to that used in the links you provided. The next operator (Discretize) defines the different age groups. The next three operators map each age group to the value used for scoring. The last operator finally calculates the score and adds it as a new column to your data set.

Created: 2010-05-05

Generating Example Weights depending on label (1)

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This process uses a Generate Attribute operator for assigning new weights to examples. It uses the if condition of this operator to distinguish between labels. This can be especially useful if you have a strong bias in your class frequency, which can harm learning. Please note that you must use a learning algorithm that supports weighted examples.

Created: 2010-05-03

Uniprot Protein Visualization (1)

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Jmol 3D visualization of a protein structure.

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

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

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

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