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Diffstat (limited to 'FAQ.md')
| -rw-r--r-- | FAQ.md | 39 |
1 files changed, 14 insertions, 25 deletions
@@ -1,29 +1,18 @@ -Frequently Asked Questions -========================== -<br> -####How does this prediction works? -> +## lazar Frequently Asked Questions -####You talk about significant fragments. Where can I find them? -> We will show up those significant fragments in a further version. +####The LAZAR program's interface has changed, and I am not sure how to use the information given with regard to its confidence. In the former version, I would consider a confidence value higher than 0.025 as reliable. But now, there is no such parameter in the prediction results. How can I consider a prediction as presenting high or low confidence? -####What is endpoint details about? -> You get the source from where we took compounds for the endpoint. The type and the number of compounds we used. +In the past many users had problems to interpret the confidence level, +for this reason we provide now the probabilities that the prediction +belongs to one of the two classes. In contrast to the confidence level, +these numbers can be interpreted as real probabilities ranging from 0 to +1. -####What is three times independent validation about? -> +Reliable prediction have a high probability for the predicted class and +a low probability for the other one. Unreliable predictions have similar +values for both classes, and are caused by a lot of contradictory +activities of similar compounds. -####Do you consider providing plots for the validation results? -> In a further version we will show up confidence and correlation plots. - -####What does 'Not enough similar compounds in training dataset' mean? -> Lazar uses neighbors from the training dataset of the endpoint to predict your compound. If there are not enough neighbors for Lazar it is not possible to make a prediction. - -####Is there a minimum number of necessary neighbors to make a prediction? -> - -####How can I activate the 'batch prediction' option? -> Please contact us directly via [mail](mailto:support@in-silico.ch). - -####Not the right answers for me. Is there a way to contact you or report problems. -> You can always ask your questions via [mail](mailto:support@in-silico.ch). If you run into problems with the GUI please post your issue [here](https://github.com/opentox/lazar-gui/issues). If you would like to post any other issue e.g. about an expected prediction result please use this [form](https://github.com/opentox/lazar/issues). +Probabilities are calculated from the activities and similarities of +neighbors, please make sure to inspect the neighbors list for any +inconsistencies that might affect the prediction. |