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Setting an attribute value in a specific E... (1)

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This process will first generate an artificial dataset and tag it with ids. Then a Filter Examples Operator is used to get a dataset with exactly one example identified by it's id. Then a value is set in this example. Since the change in the data will be reflected in all views of the example set, a simply copy is passed by to the process' output. If you take a look at the attributes of the example with id 5, you will find the 12 there.

Created: 2010-05-14

Correct Attribute Type to Binominal (1)

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This process will first generate some artificial data to show a commonly known problem: Some attributes have only two values, but are not correctly stored as Binominal, instead RapidMiner recognizes them as nominal. In order to use them for some special operators, we have to change this to binominal. We can achieve this by using the Nominal to Binominal operator with the the parameter transform_binominals switched off. Please take a look at the data before and after the Nominal to Binominal o...

Created: 2010-05-14

EntrezGeneId_to_GOFunction (1)

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The workflow takes a list of Entrez gene ids and returns the corresponding GO function definitions. Example value: 1306 486 4712 108 9912 7639 23786

Created: 2010-05-13 | Last updated: 2010-05-13

Credits: Franck Tanoh

BLAST workflow (1)

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You can get three BLAST results against DDBJ, swiss-prot and PDB by using accession number of DDBJ.

Created: 2010-05-13 | Last updated: 2010-05-13

Credits: wabi

BLAST-ClustalW workflow (1)

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Execute blastn against DDBJ database with a given DNA sequence and compare the alignment regions of high similar sequences by using ClustalW.

Created: 2010-05-13 | Last updated: 2010-05-13

Credits: wabi

Virus genome extraction workflow (1)

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Retrieve genome entries which agree with the following conditions regarding the Definition item of entries from both VRL and PHG division in DDBJ. Includes "complete sequence" or includes "segment" and "complete sequence" Not include "TPA:" and "nearly complete"

Created: 2010-05-13 | Last updated: 2010-05-13

Credits: wabi

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Presentation - myExperiment: an experiment in Web 2....

Created: 2010-05-12 14:28:40 | Last updated: 2010-05-12 14:29:00

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Homology workflow (1)

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There are many kinds of DNA data derived from many species in DDBJ. It makes possible to carry out the comparative study of genes of multiple species. The workflow provides a list of species and their genes that are similar to a human gene in response to a name of the human gene.

Created: 2010-05-12 | Last updated: 2010-05-12

Credits: wabi

Federated query using DCQL and credential ... (2)

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CDS_Activity issues an EPR of the delegated credential. FQP uses this EPR to fetch the actual delegated credential from CDS and uses it to invoke multiple data services (the query activity) on behalf of the invoker. CDS_Activity issues an EPR of the delegated credential. FQP uses this EPR to fetch the actual delegated credential from CDS and uses it to invoke multiple data services (the query activity) on behalf of the invoker. Need to install Taverna 2 caGrid integration suite from http://ww...

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

Credits: Wei Tan

OpenTox Get Datasets (3)

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Gets a list of available data set URIs

Created: 2010-05-11

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

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DDeR's keynotes

Created: 2010-05-08 21:02:31 | Last updated: 2010-05-08 21:11:36

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Presentation - 2010: an e-Science Odyssey

Created: 2010-05-08 14:59:16 | Last updated: 2010-07-26 17:14:20

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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

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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