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Item-based collaborative filtering recomme... (1)

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The workflow for item-based collaborative filtering receives a user-item matrix for its input, and the same context defined macros as the user-based recommender template, namely %{id}, %{recommendation_no}, and %{number_of_neighbors}. Although this process is in theory very similar to user-based technique, it differs in several processing steps since we are dealing with an item-user matrix, the transposed user-item example set. The first step of the workflow, after declaring zero values miss...

Created: 2011-05-05 | Last updated: 2011-05-09

Credits: Matko Bošnjak Ninoaf

Attributions: Datasets for the pack: RCOMM2011 recommender systems workflow templates

User-based collaborative filtering recomme... (1)

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The workflow for user-based collaborative filtering, takes only one example set as an input: a user-item matrix, where the attributes denote item IDs, and rows denote users. If a user i has rated an item j with a score s, the matrix will have the value s written in i-th row and j-th column. In the context of the process we define the ID of the user %{id}, desired number of recommendations %{recommendation_no}, and the number of neighbors used in ca...

Created: 2011-05-05 | Last updated: 2011-05-09

Credits: Matko Bošnjak Ninoaf

Attributions: Datasets for the pack: RCOMM2011 recommender systems workflow templates

Content based recommender system template (1)

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As an input, this workflow takes two distinct example sets: a complete set of items with IDs and appropriate textual attributes (item example set) and a set of IDs of items our user had interaction with (user example set). Also, a macro %{recommendation_no} is defined in the process context, as a required number of outputted recommendations. The first steps of the workflow are to preprocess those example sets; select only textual attributes of item example set, and set ID roles on both of th...

Created: 2011-05-05 | Last updated: 2011-05-09

Credits: Matko Bošnjak Ninoaf

Attributions: Datasets for the pack: RCOMM2011 recommender systems workflow templates

CGR from multiple fasta files (1)

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 The workflow generates Chaos Game Represenations (CGR) image from multiple fasta files. See http://www.g-language.org/wiki/cgr for more information about the Chaos Game Representations.

Created: 2011-04-29 | Last updated: 2011-04-29

Credits: cory (Kazuki Oshita)

Voronoi polygon generation using GRASS-GIS... (1)

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Generic example on how to deal with vectorial data. Major pitfall is the need to process ProcessOutputs using Xpath plugin. A random point file in GML 2.1.2 is sent to the v.voronoi service and after it is sent to a service that runs v.out.svg generating a SVG image that can be rendered in Taverna (need to set output to SVG image)

Created: 2011-04-27 | Last updated: 2011-04-27

Credits: Jorgejesus

[untitled] (1)

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This workflow allows the user to search for processes that are involved with a certain gene. Using microarray-files (CEL-files), consisting of wild type and KO mice to which a stimulant is induced, the user can get an idea of the processes involved. (This is done using the global test and the literature weighted global test.) The results are then given as a text-file. Warning: workflow is not working (needs some revisions), all input is currently hardcoded! (You will have to change the file...

Created: 2011-04-26 | Last updated: 2011-04-26

Credits: Dennis Leenheer

Gene expression interpretation by the Glob... (1)

This workflow adds meaning to gene expresion values by performing a standard and a literature weighted Global Test. Gene expression is expected to be from Affymetrix microarrays, for which an RMA normalization and entrez Gene ID mapping/summation is performed. Original workflow is by Dennis Leenheer, edits by Marco Roos. Scripts by Kristina Hettne, acknowledging Rob Jellier, Jelle Goeman, and Peter-Bram 't Hoen. The workflow was created for the LUMC BioSemantics group, part of the Human Gen...

Created: 2011-04-26 | Last updated: 2011-04-26

Credits: Marco Roos

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KUP titles triple graph

Created: 2011-04-22 04:50:45 | Last updated: 2011-05-20 16:04:57

Credits: James Eales

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Adobe PDF

Comments: 0 | Viewed: 36 times | Downloaded: 40 times

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attribute list for article title training data

Created: 2011-04-21 15:40:43

Credits: James Eales

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: htm

Comments: 0 | Viewed: 40 times | Downloaded: 25 times

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Training data for article title classification

Created: 2011-04-21 15:23:53 | Last updated: 2011-04-21 15:24:46

Credits: James Eales

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Trident (Package)

Comments: 0 | Viewed: 37 times | Downloaded: 21 times

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Remove_Duplicates (1)

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This workflow removes any duplicates from a list of inputs, merges the unique values, and then removes any null values.

Created: 2011-04-21 | Last updated: 2011-04-21

Credits: Paul Fisher

Magnetic Resonance Image simulation with S... (1)

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Created: 2011-04-18 | Last updated: 2011-04-18

Credits: Glatard

Positron Emission Tomography simulation wi... (1)

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This workflow implements Positron Emission Tomography simulation with PET-Sorteo http://sorteo.cermep.fr/. It is developped by the Virtual Imaging Platform (http://www.creatis.insa-lyon.fr/vip).

Created: 2011-04-18 | Last updated: 2011-04-18

Credits: Glatard

Computed Tomography with Sindbad (1)

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This workflow implements computed tomography (CT) simulation with the Sindbad software. It is developped by the Virtual Imaging Platform (http://www.creatis.insa-lyon.fr/vip).

Created: 2011-04-18 | Last updated: 2011-04-18

Credits: Glatard

FIELD-II ultrasound simulation (1)

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Workflow implementing ultrasound simulation using FIELD-II http://server.electro.dtu.dk/personal/jaj/field/. Developped by the Virtual Imaging Platform (http://www.creatis.insa-lyon.fr/vip).

Created: 2011-04-18

Credits: Glatard

M_Super_aln_boot_phylo_New (1)

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This workflow performs a generic protein sequence analysis. A multiple sequence alignment and finally a phylogenetic analysis.This workflow performs a generic protein sequence analysis. In order to do that a novel protein sequence enters into the software along with a list of known protein identifiers chosen by the biologist to perform a homology search, followed by a multiple sequence alignment and finally a phylogenetic analysis.This workflow performs "parallel" generic protein sequence ana...

Created: 2011-04-18 | Last updated: 2011-04-18

Credits: Achille Zappa

Attributions: EMBL-EBI ClustalW2 (SOAP)

GRASS-GIS orchestration using pyWPS (2)

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Generic workflow that run r.watershed, with auxiliary services: r.math and geotiff2png. Watershed accumulation is calculated from DEM using r.watershed, the accumulation result is then filtered using r.math with equation:output=(if(a>10,a,null())) Generic workflow that run r.watershed, with auxiliary services: r.math and geotiff2png. Watershed accumulation is calculated from DEM using r.watershed, the accumulation result is then filtered using r.math with equation: output=(if(a>10,...

Created: 2011-04-18 | Last updated: 2011-04-25

Credits: Jorgejesus

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Wound Image Data Mining

Created: 2011-04-17 14:00:45 | Last updated: 2011-05-04 12:35:28

Credits: Dr. Sven Van Poucke

Attributions: Wound Image Data Mining Wound Image Data Mining

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Trident (Package)

Comments: 0 | Viewed: 77 times | Downloaded: 34 times

Create Linear Combinations (1)

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This process creates new attributes based on all combinations of coefficients for two attributes, i.e. it produces all linear combinations c1 * att1 + c2 * att2 by looping through a set of possible values for c1 and c2 and all their different combinations.

Created: 2011-04-08

Blast Report from ID (1)

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This workflow retrieves a fasta sequence or blast report from an id. Firstly, given some inputs (e.g. ids:EDL10223.1, format:fasta, style:default and db:emblcds), it returns the sequence in fasta format associated to those inputs using the EBI's WSDbfetch web service (see http://www.ebi.ac.uk/Tools/webservices/services/dbfetch). Next, we obtain a Blast report from this fasta sequence and some others parameters. The final result in that case corresponds with the same fasta sequence introduced...

Created: 2011-04-07 | Last updated: 2011-04-07

Credits: Hectorj2f

Quality control processing of GEO datasets (2)

The workflow performs a quality control process on gene expression data sets stored in the Gene Expression Omnibus database. The QC process is performed using Bioconductor R packages. A variety of statistics are produced by the workflow including a diagnostic plot from snm normalisation and nucleotide composition bias.

Created: 2011-04-06 | Last updated: 2011-04-11

Credits: Peter Li Bhmecham

Mouse Brain Image Analysis: General Linear... (1)

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Overview - General Linear Model The workflow runs voxelwise statistics on two populations of mice. Each of the populations has been scanned prior to injection of a label and at four subsequent timepoints.   Problem addressed by this workflow The workflow addresses several problems. First of all, it performs co-registration between the subjects from the two populations and at different timepoints. It then scales all images. Finally, it runs a multiple linear regression module t...

Created: 2011-04-06 | Last updated: 2011-04-06

Credits: Pipeline

Automated BrainSuite Cortical Surface Extr... (1)

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Overview - BrainSuite Cortical Surface Extraction The workflow takes a skull stripped volume as input and runs a multi-stage process, extracting the cortical surface and splitting it into hemispheres.   Problem addressed by this workflow Generating a shape model of the cortical surface from a 3D volume.   Detailed Workflow Usage & Specifications Tissue Classification The next step in the Brainsuite09 cortical surface identification sequence is tissue classificatio...

Created: 2011-04-06 | Last updated: 2011-04-06

Credits: Pipeline