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Additional file 4 of Predicting clinical outcomes in neuroblastoma with genom...
Performance metrics of models for predicting OS and EFS in Versteeg and Target cohorts. This spreadsheet lists the performance metrics of models trained from SEQC cohort. Models... -
dedup_wf_001--1d899b165a43c24fd349cad4d1cb1802
The identified modules. We listed all the 46 modules identified with our proposed method. Each module includes both genes and microRNAs. (CSV 51 kb) -
MOESM6 of Network-based integration of molecular and physiological data eluci...
Supplementary material 6 (CYS 336Â kb) -
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Supplementary material 10 (XLSX 39Â kb) -
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Additional file 1: of Integration of multi-omics data for prediction of pheno...
List of the data sets used in this article. (XLSX 14739Â kb) -
Additional file 16: of Specific gut microbiome members are associated with di...
R data analysis report 6. Clustering of samples into Community State Types (CSTs) based on Jenson-Shannon divergence. (HTML 2338 kb) -
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Supplementary material 5 (CYS 55Â kb) -
Additional file 1: of MultiDataSet: an R package for encapsulating multiple d...
“Using MultiDataSet with third party R packages”. This file illustrates how to perform an integration analysis using multivariate co-inertia analysis (omicade4) and clustering... -
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Supplementary material 7 (XLSX 25Â kb) -
Additional file 11: of Specific gut microbiome members are associated with di...
R data analysis report 1. Data preparation, filtering and transformation. (HTML 2337 kb) -
D2KAB project taking off: Data to Knowledge in Agronomy and Biodiversity
Agronomy/agriculture and biodiversity (ag & biodiv) communities face several major societal, economic, and environmental challenges that data science approaches will help... -
Additional file 3 of Alternative empirical Bayes models for adjusting for bat...
Comparison of P-values for applying robust and non-robust F tests on the four experimental datasets. (XLSX 12 kb) -
Additional file 13: of Specific gut microbiome members are associated with di...
R data analysis report 3. Temporal patterns of immune markers and immune cells in HSCT patients. (HTML 1457 kb) -
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Supplementary material 8 (CYS 516Â kb) -
dedup_wf_001--2a9388d1b4f3db231e0fcc6ab692a099
The developed RDF models and the SPARQL queries used are made available at: http://www.scai.fraunhofer.de/en/business-research-areas/bioinformatic... ....
