All content

EBI_InterproScan_NewServices (2)

• Download

This workflow performs an interproscan on provided sequencesThis workflow performs an interproscan at the EBI on sequences provided as input. The output is provided as text, xml or png. This workflow uses the new EBI services, which are asynchronous and require looping over the nested workflow (Status) until the workflow has finished. Many of the EBI services now work in this way, so you can use this workflow as an example of the invocation pattern and looping configuration.

Created: 2011-01-17 | Last updated: 2011-01-17

Credits: Katy Wolstencroft Hamish McWilliam Stian Soiland-Reyes

Attributions: EBI_InterProScan for Taverna 2 EBI_InterProScan for Taverna 2 EBI_InterProScan

Split Molecules Into Clusters (1)

• Download

This workflow splits given molecules into their cluster memberships. The molecules are loaded from a SD file and the relationship data from a CSV file. The results are saved into N different SD files, where N is the number of clusters.

Created: 2011-01-17 | Last updated: 2011-07-21

2. Getting Started: Retrieve and Apply a M... (1)

• Download

This getting started process demonstrates how to load (retrieve) a model from the repository and apply it to a data set. The result is a data set (at the lab output for "labeled data" ) with has a new "prediction" attribute which indicated the prediction for each example (ie. row/record). You will need to adjust the path of the retrieve data operator to the actual location where the model is stored by a previews execution of the "1. Getting Started: Learn and Store a...

Created: 2011-01-17 | Last updated: 2011-01-19

1. Getting Started: Learn and Store a Model (1)

• Download

This getting started process shows the first step of learning and storing a model. After a model is learned, you can load (Retrieve operator) the model and apply it to a test data set (see 2. Getting Started: Retrieve and Apply Model). The process is NOT concerned with evaluation of the model. This process will not immediately run in RapidMiner because you have to adjust the repository path in the Retrieve operator. Tags: Rapidminer, model, learn, learning, training, train, store, first step

Created: 2011-01-17 | Last updated: 2011-01-17

Count co-occurences in matrix with Aggrega... (1)

• Download

The process counts and shows all combinations of values of two attributes and shows them in a count matrix. The process uses the operators Aggregate and Pivot for this purpose.

Created: 2011-01-15

View Download

Fluid Dynamics Error

Created: 2011-01-14 18:26:24 | Last updated: 2011-01-14 18:26:25

Credits: Mity

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Word document

Comments: 0 | Viewed: 25 times | Downloaded: 90 times

This File has no tags!

Weka Clustering Considering Different Orig... (2)

• Download

This workflow clusters the given CSV files with the chosen Weka algorithm. The results are visualized in a PDF file. The CSV files are loaded from hard disk and merged together. Afterwards they are converted into a Weka dataset which is the suitable data type for the Weka clustering activity. The results are visualized as a PDF file showing the cluster membership of each input CSV file.

Created: 2011-01-13 | Last updated: 2011-07-21

Population reconstruction and dynamic popu... (2)

• Download

Runs the population reconstruction model (PRM) to create a synthetic individual-level population and then projects the population through a number of years. This is still in progress, results cannot be made public yet.

Created: 2011-01-12 | Last updated: 2011-01-19

Credits: Nick Malleson

Text stemming with Porter Stemmer (1)

• Download

This workflow does text stemming. Stemming removes the inflicted endings of words. It is often used as text preprocessing for text mining, since stemmed words can be easily matched and counted. The input to the workflow is the text to be stemmed, the output is the stemmed text.  

Created: 2011-01-11 | Last updated: 2011-01-11

Credits: Petra Kralj Novak

JSI Subgroup Discovery operators (1)

• Download

A simple example of how to use subgroup discovery operators for learning subgroup descriptions and how to test their classification accuracy using cross-validation.

Created: 2011-01-10 | Last updated: 2011-01-10