Workflows
What is a Workflow?Filters
Name: Matrix multiplication with Objects Contact Person: support-compss@bsc.es Access Level: public License Agreement: Apache2 Platform: COMPSs
Description
Matrix multiplication is a binary operation that takes a pair of matrices and produces another matrix.
If A is an n×m matrix and B is an m×p matrix, the result AB of their multiplication is an n×p matrix defined only if the number of columns m in A is equal to the number of rows m in B. When multiplying A and B, the ...
Type: COMPSs
Creators: Javier Conejero, The Workflows and Distributed Computing Team (https://www.bsc.es/discover-bsc/organisation/scientific-structure/workflows-and-distributed-computing/)
Submitter: Raül Sirvent
MMV Im2Im Transformation
A generic python package for deep learning based image-to-image transformation in biomedical applications
The main branch will be further developed in order to be able to use the latest state of the art techniques and methods in the future. To reproduce the results of our manuscript, we refer to the branch ...
Name: Matrix Multiplication Contact Person: support-compss@bsc.es Access Level: public License Agreement: Apache2 Platform: COMPSs
Description
Matrix multiplication is a binary operation that takes a pair of matrices and produces another matrix.
If A is an n×m matrix and B is an m×p matrix, the result AB of their multiplication is an n×p matrix defined only if the number of columns m in A is equal to the number of rows m in B. When multiplying A and B, the elements of the ...
Type: COMPSs
Creators: Jorge Ejarque, The Workflows and Distributed Computing Team (https://www.bsc.es/discover-bsc/organisation/scientific-structure/workflows-and-distributed-computing)
Submitter: Raül Sirvent
Name: Matrix multiplication with Files Contact Person: support-compss@bsc.es Access Level: public License Agreement: Apache2 Platform: COMPSs
Description
Matrix multiplication is a binary operation that takes a pair of matrices and produces another matrix.
If A is an n×m matrix and B is an m×p matrix, the result AB of their multiplication is an n×p matrix defined only if the number of columns m in A is equal to the number of rows m in B. When multiplying A and B, the elements ...
Type: COMPSs
Creators: Javier Conejero, The Workflows and Distributed Computing Team (https://www.bsc.es/discover-bsc/organisation/scientific-structure/workflows-and-distributed-computing/)
Submitter: Raül Sirvent
This workflow takes as input a SRA_manifest from SRA Run Selector and will generate one fastq file or fastq pair of file for each experiment (concatenated multiple runs if necessary). Output will be relabelled to match the column specified by the user.
A demonstration workflow for Reduced Order Modeling (ROM) within the eFlows4HPC project, implemented using Kratos Multiphysics, EZyRB, COMPSs, and dislib.
Type: COMPSs
Creators: Jose Raul Bravo Martinez, Sebastian Ares de Parga Regalado, Riccardo Rossi Bernecoli, Jorge Ejarque
Submitter: Raül Sirvent
rquest-omop-worker-workflows
Source for workflow definitions for the open source RQuest OMOP Worker tool developed for Hutch/TRE-FX
Note: ARM workflows are currently broken. x86 ones work.
Inputs
### Body Sample input payload:
{
"task_id": "job-2023-01-13-14: 20: 38-",
"project": "",
"owner": "",
"cohort": {
"groups": [
{
"rules": [
{
"varname": "OMOP",
"varcat": "Person",
"type": "TEXT",
"oper": "=",
"value": "8507"
}
],
"rules_oper": "AND"
}
],
"groups_oper": "OR"
},
"collection":
...
Type: Common Workflow Language
Creator: Vasiliki Panagi
Submitters: Stian Soiland-Reyes, Vasiliki Panagi, Jon Couldridge
Summary
The data preparation pipeline contains tasks for two distinct scenarios: leukaemia that contains microarray data for 119 patients and ovarian cancer that contains next generation sequencing data for 380 patients.
The disease outcome prediction pipeline offers two strategies for this task:
Graph kernel method: It starts generating personalized networks for ...
Summary
This pipeline contains the following functions: (1) Data processing to handle the tansformations needed to obtain the original pathway scores of the samples according to single sample analysis GSEA (2) Model training based on the disease and healthy sample pathway scores, to classify them (3) Scoring matrix weights optimization according to a gold standard list of drugs (those that went on clinical trials or are approved for the disease).It tests the weights in a range of 0 to 30 (you ...
Summary
The PPI information aggregation pipeline starts getting all the datasets in GEO database whose material was generated using expression profiling by high throughput sequencing. From each database identifiers, it extracts the supplementary files that had the counts table. Once finishing the download step, it identifies those that were normalized or had the raw counts to normalize. It also identify and map the gene ids to uniprot (the ids found usually ...