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Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks
(Springer Nature, 2020-05-22)
[EN] Breast cancer (BC) is a heterogeneous disease where genomic alterations, protein expression deregulation, signaling pathway alterations, hormone disruption, ethnicity and environmental determinants are involved. Due ...
Data Analysis in Chemistry and Bio-Medical Sciences
(MDPI, 2016-12-14)
There is an increasing necessity for multidisciplinary collaborations in molecular science between experimentalists and theoretical scientists, as well as among theoretical scientists from different fields. One of the more ...
Net-Net Auto Machine Learning (AutoML) Prediction of Complex Ecosystems
(Nature Publishing, 2018-08-17)
Biological Ecosystem Networks (BENs) are webs of biological species (nodes) establishing trophic relationships (links). Experimental confirmation of all possible links is difficult and generates a huge volume of information. ...
Gene Prioritization, Communality Analysis, Networking and Metabolic Integrated Pathway to Better Understand Breast Cancer Pathogenesis
(Nature Publishing Group, 2018-11-12)
Consensus strategy was proved to be highly efficient in the recognition of gene-disease association. Therefore, the main objective of this study was to apply theoretical approaches to explore genes and communities directly ...
Net-Net AutoML Selection of Artificial Neural Network Topology for Brain Connectome Prediction
(MDPI, 2020-02-14)
Brain Connectome Networks (BCNs) are defined by brain cortex regions (nodes) interacting with others by electrophysiological co-activation (edges). The experimental prediction of new interactions in BCNs represents a ...