Methodological challenges and analytic opportunities for modeling and interpreting Big Healthcare Data
ID Dinov - Gigascience, 2016 - academic.oup.com
Managing, processing and understanding big healthcare data is challenging, costly and
demanding. Without a robust fundamental theory for representation, analysis and inference …
demanding. Without a robust fundamental theory for representation, analysis and inference …
Introducing BASE: the Biomes of Australian Soil Environments soil microbial diversity database
Background Microbial inhabitants of soils are important to ecosystem and planetary
functions, yet there are large gaps in our knowledge of their diversity and ecology. The …
functions, yet there are large gaps in our knowledge of their diversity and ecology. The …
Web-based workflow planning platform supporting the design and execution of complex multiscale cancer models
Significant Virtual Physiological Human efforts and projects have been concerned with
cancer modeling, especially in the European Commission Seventh Framework research …
cancer modeling, especially in the European Commission Seventh Framework research …
Article Commentary: Dealing with Diversity in Computational Cancer Modeling
This paper discusses the need for interconnecting computational cancer models from
different sources and scales within clinically relevant scenarios to increase the accuracy of …
different sources and scales within clinically relevant scenarios to increase the accuracy of …
Semantically linking in silico cancer models
Multiscale models are commonplace in cancer modeling, where individual models acting on
different biological scales are combined within a single, cohesive modeling framework …
different biological scales are combined within a single, cohesive modeling framework …
The role of markup for enabling interoperability in health informatics
Interoperability is the faculty of making information systems work together. In this paper we
will distinguish a number of different forms that interoperability can take and show how they …
will distinguish a number of different forms that interoperability can take and show how they …
Connecting digital cancer model repositories with markup: introducing TumorML version 1.0
The cancer research community requires a standardized way of describing mathematical
and computational models to enable interoperation between systems, repositories, and …
and computational models to enable interoperation between systems, repositories, and …
Computational modelling in cancer: methods and applications
Computational modelling of diseases is an emerging field, proven valuable for the
diagnosis, prognosis and treatment of the disease. Cancer is one of the diseases where …
diagnosis, prognosis and treatment of the disease. Cancer is one of the diseases where …
An architecture for integrating cancer model repositories
The TUMOR project aims at develo** a European clinically oriented semantic-layered
cancer digital model repository from existing EU projects that will be interoperable with the …
cancer digital model repository from existing EU projects that will be interoperable with the …
[PDF][PDF] The TUMOR project: integrating cancer model repositories for supporting predictive oncology
In order to perform in silico modeling of cancer there is a need to study the various phases
and scales describing different levels of biocomplexity using mathematical modeling and …
and scales describing different levels of biocomplexity using mathematical modeling and …