Common pathways and functional profiles reveal underlying patterns in Breast, Kidney and Lung cancers
BMC – Biology Direct
Background: Cancer is an extremely heterogeneous disease, both intra and inter cancer types.
Functional Signatures in Non-Small-Cell Lung Cancer: A Systematic Review and Meta-Analysis of Sex-Based Differences in Transcriptomic Studies
Special Issue Diagnostic and Predictive Biomarkers in Lung Cancer
While studies have established the existence of differences in the epidemiological and clinical patterns of lung adenocarcinoma between male and female patients, we know relatively little regarding the molecular mechanisms underlying such sex-based differences.
An Approach to Support Automated Deployment of Applications on Heterogeneous Cloud-HPC Infrastructures
22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)
Complex applications, which include microservices, computationally intensive batch jobs, and sophisticated interaction with the external environment, demand for heterogeneous computational infrastructures that range from cloud to HPC and edge computing.
MegaM@Rt2 EU Project: Open Source Tools for Mega-Modelling at Runtime of CPSs
16th International Conference on Open Source Systems
The MegaM@ Rt2 ECSEL project: MegaModelling at Runtime–Scalable model-based framework for continuous development and runtime validation of complex systems
This paper presents an overview of the ECSEL 1 project entitled “MegaModelling at runtime – Scalable model-based framework for continuous development and runtime validation of complex systems” (MegaM@Rt2), whose aim is to address the challenges facing MDE.
A Situational Approach for the Definition and Tailoring of a Data-Driven Software Evolution Method
Successful software evolution heavily depends on the selection of the right features to be included in the next release. Such selection is difficult, and companies often report bad experiences about user acceptance.
Grammar based genetic programming for software configuration problem
Software Product Lines (SPLs) capture commonalities and variability of product families, typically represented by means of feature models.
Grammar based genetic programming for software configuration problem
Software Product Lines (SPLs) capture commonalities and variability of product families, typically represented by means of feature models.
ARTIST: Model-Based Stairway to the Cloud
Over the past decade, cloud services emerged as one of the most promising technologies in IT.