Mar 25, 2010 · We propose an approach to infer gene regulatory networks from time-series measurements starting from a well known algorithm based on information theory.

Mar 25, 2010 · We propose an approach to infer gene regulatory networks from time-series measurements starting from a well known algorithm based on information theory.

Mar 25, 2024 · In this paper we show how the ARACNE (Algorithm for the Reconstruction of Accurate Cellular Networks) algorithm can be used for gene regulatory ...

TimeDelay-ARACNE can infer small local networks of time regulated gene-gene interactions detecting their versus and also discovering cyclic interactions also ...

From: TimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach. TimeDelay-ARACNE. TSNI. Banjo. ARACNE ...

TD-ARACNE is also a 2 steps algorithm: first there is network construction than network pruning. Our algorithm identifies candidate interactions by Kernel ...

... Reverse engineering of gene networks from time-course data by an information theoretic approach ... TimeDelay-ARACNE can infer small local networks of time ...

If time-course data is available, a version of ARACNE that considers time delays [77] can be used. The definition of Conditional Mutual Information (12) clearly ...

In this study, we propose a new method using mutual information based on multi-level discretization network inference (MIDNI) from time series gene expression ...

This paper proposes a systematic approach to fit in various level of knowledge in the delay parameters during the reverse engineering process. Further, we have ...