Peptide drug development with symbolic regression
An example of peptide drug featurization and modelling using anticancer peptides.
Multi-omics analysis made easy: A breast cancer example
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.
siRNA molecule activity: explainable AI models uncover underlying mechanisms
Our results-driven world pressures us to give up good science.
How I Learned to Stop Encoding and Love the QLattice
Curing your data preprocessing blues: Automatic handling of categorical data and scaling
Black-box medicine is taking over. Here’s an alternative.
The increasing application of black-box models gives rise to a range of both ethical and scientific questions.
AI and nucleic acid-based medicine: can symbolic regression unite them?
How the QLattice explains the cellular toxicity of RNA-targeting drugs.
The QLattice: A new machine learning model you didn’t know you needed
Data sciencey-sphere, I have big news. A radical new machine learning model has surfaced.
Opening the black box
Explainable AI with the QLattice and feynplots
A new kind of AI
Do you think about machine learning? How about all the research put into self-driving cars or image recognition or natural language processing?
