Journal: Journal of Cheminformatics

Article Title: Modeling of non-additive mixture properties using the Online CHEmical database and Modeling environment (OCHEM)

doi: 10.1186/1758-2946-5-4

Figure Lengend Snippet: Statistical parameters of Online Chemical Modeling Environment (OCHEM, http://ochem.eu ) models with the lowest RMSE according to the “ compounds-out ” cross-validation protocol for the prediction of binary mixture densities

Article Snippet: Using these descriptors, the results for the test set prediction calculated by LibSVM with ChemAxon descriptors were R 2 = 0.94 ± 0.02, RMSE = 0.006 ± 0.001 – the highest prediction accuracy achieved for this test.

Techniques: Biomarker Discovery

Journal: Nature Communications

Article Title: On the performance of pre-microRNA detection algorithms

doi: 10.1038/s41467-017-00403-z

Figure Lengend Snippet: Available pre-miRNA detection tools

Article Snippet: For SVM, Weka LibSVM (3.7) was used since it was fast comparing to other SVM implementations available in KNIME.

Techniques: Sampling, Selection