An example of peptide drug featurization and modelling using anticancer peptides.
Let’s study how well calibrated the QLattice models are, and to what extent calibrators can improve them.
What do machine learning model outputs represent? What if the predictions that we’re making come with a future risk?
Calibrators are tools used to transform the scores generated by your models into (almost) real mathematical probabilities.
The QLattice, a new explainable AI algorithm, can cut through the noise of omics data sets and point to the most relevant inputs and models.
Our results-driven world pressures us to give up good science.
Curing your data preprocessing blues: Automatic handling of categorical data and scaling
The increasing application of black-box models gives rise to a range of both ethical and scientific questions.
How the QLattice explains the cellular toxicity of RNA-targeting drugs.
Data sciencey-sphere, I have big news. A radical new machine learning model has surfaced.