This scientific publication was the outcome of a long collaboration with Ruffino, check it out: Bronzi, B., Brilli, C., Beone, G.M., Fontanella, M.C., Ballabio, D., Todeschini, R., Consonni, V., Grisoni, F., Parri, F., Buscema, M. (2020), Geographical identification of Chianti red wine based on ICP-MS element composition, Food Chemistry, 315, 126248 [link]
Category Archives: Scientific publications
Deep Ranking Analysis by Power Eigenvectors (DRAPE)
New publication: Deep Ranking Analysis by Power Eigenvectors (DRAPE): A wizard for ranking and multi-criteria decision making, have a look here!
Machine Learning to predict the binding to the Androgen Receptor
Have a look to our latest publication: Grisoni, F., Consonni, V., Ballabio, D. (2019) Machine Learning Consensus to Predict the Binding to the Androgen Receptor within the CoMPARA project. Journal of chemical information and modeling, 59, 1839-1848 [link]
Data related to these models are available for download.
High-level data fusion
New chapter: Recent advances in High-Level Fusion Methods to classify multiple analytical chemical data (published in in Data Fusion Methodology and Applications, Elsevier).
Have a look!!!
New Michem publication on misleading use of regression metrics
Glad our publication is now availale: On the misleading use of Q2F3 for QSAR model comparison, Molecular Informatics (2019), 38, 1800029. Have a look!
Structural alerts for the identification of bioaccumulative compounds
Now publushed on Integrated Environmental Assessment and Management a paper on structural alerts for the identification of bioaccumulative compounds, check it out here. Data and a KNIME workflow to apply the proposed decision system based on structural alerts are available for download.
QSAR to predict bioactivity of ACE-inhibitor peptides
Now publushed on Protein & Peptide Letters a paper on QSAR models for the prediction of the bioactivity of ACE-inhibitor peptides, check it out here.