Abstract: Recent progress in high-throughput technology has resulted in a significant data overload. Determining how to obtain valuable knowledge from such ...
to obtain valuable knowledge from such massive raw data has become one of the most challenging issues in. biomedical research.
Recent progress in high-throughput technology has resulted in a significant data overload. Determining how to obtain valuable knowledge from such massive ...
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Determining how to obtain valuable knowledge from such massive raw data has become one of the most challenging issues in biomedical research. As a result, ...
On the robustness of the biological correlation network model ...
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Nov 27, 2020 · Schematic demonstration of the cascading failure process in multilayer biological molecular networks. The multilayer model includes a gene ...
In this study, we classified robustness and evolvability in Boolean network models of biological systems into the four classes: Not robust & not evolvable ...
Oct 12, 2023 · Clustering molecular data into informative groups is a primary step in extracting robust conclusions from big data.
Several approaches exist that identify functional modules in the context of integrated biological networks. The objective of this study is 2-fold: first, to ...
Bibliographic details on On the Robustness of the Biological Correlation Network Model.