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Drug Discovery Today|November 12, 2013
Methods of biological network inference for reverse engineering cancer chemoresistance mechanismsPaola LeccaFrontiers in Bioengineering and Biotechnology|February 1, 2021
Control Theory and Cancer Chemotherapy: How They InteractPaola LeccaFrontiers in Bioinformatics|October 28, 2022
Machine Learning for Causal Inference in Biological Networks: Perspectives of This ChallengePaola LeccaBiophysical Reviews|May 17, 2017
Stochastic chemical kinetics : A review of the modelling and simulation approachesPaola LeccaDrug Discovery Today|November 14, 2012
Biological network inference for drug discoveryPaola Lecca, Corrado PriamiFrontiers in Artificial Intelligence|November 30, 2023
Graph embedding and geometric deep learning relevance to network biology and structural chemistryPaola Lecca, Michela LeccaBMC Bioinformatics|October 26, 2012
Modelling non-homogeneous stochastic reaction-diffusion systems: the case study of gemcitabine-treated non-small cell lung cancer growthPaola Lecca, Daniele MorpurgoData in Brief|January 18, 2024
A dataset for illuminant- and device- invariant colour barcode decoding with camerasMichela Lecca, Paola LeccaIntegrative Biology : Quantitative Biosciences From Nano to Macro|November 2, 2016
Accurate prediction of the age incidence of chronic myeloid leukemia with an improved two-mutation mathematical modelPaola Lecca, Claudio SorioFrontiers in Cell and Developmental Biology|September 13, 2017
Synthetic Gene Expression Circuits for Designing Precision Tools in OncologyAngela RePageof 8