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Diffstat (limited to 'mutagenicity.md')
| -rw-r--r-- | mutagenicity.md | 11 |
1 files changed, 5 insertions, 6 deletions
diff --git a/mutagenicity.md b/mutagenicity.md index 4ac5a32..274519e 100644 --- a/mutagenicity.md +++ b/mutagenicity.md @@ -1,6 +1,5 @@ --- -title: A comparison of twelve machine learning models based on an expanded mutagenicity dataset and their application for predicting pyrrolizidine alkaloid mutagenicity -# TODO check # algorithms +title: A comparison of nine machine learning models based on an expanded mutagenicity dataset and their application for predicting pyrrolizidine alkaloid mutagenicity #title: A comparison of random forest, support vector machine, linear regression, deep learning and lazar algorithms for predicting the mutagenic potential of different pyrrolizidine alkaloids #subtitle: Performance comparison with a new expanded dataset @@ -26,7 +25,7 @@ institute: name: Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association address: "Robert-Rössle-Strasse 10, Berlin, 13125, Germany" bibliography: bibliography.bib -keywords: mutagenicity, QSAR, lazar, random forest, support vector machine, deep learning +keywords: mutagenicity, QSAR, lazar, random forest, support vector machine, linear regression, neural nets, deep learning documentclass: scrartcl tblPrefix: Table @@ -435,13 +434,13 @@ R scripts for these experiments can be found in https://git.in-silico.ch/mutagen TODO: **Philipp** bitte ergaenzen +#### Random forests + #### Logistic regression (SGD) #### Logistic regression (scikit) -#### Random forests - -#### Deep Learning +#### Neural Nets Alternatively, a DL model was established with Python-based Tensorflow program (<https://www.tensorflow.org/>) using the high-level API Keras |