Apr 1, 2017 · Our differential network analysis compares the extended core network inferred from the sense data (S) with the one inferred from the sense and ...

Nov 20, 2018 · Thus differential network analysis proposes to identify significant interaction modifications when comparing networks involving the same set of ...

Nov 20, 2018 · Results: We present a differential functional analysis of the sense and anti-sense transcriptomic data that reveals functional terms linked to ...

The aim of the work is to study the role of natural anti-sense transcription on cellular regulation mechanisms and the inference method of an Extended Core ...

The aim of our work is to study the role of natural anti-sense transcription on cellular regulation mechanisms. Our proposal is to build and compare networks ...

The aim of our work is to study the role of natural anti-sense transcription on cellular regulation mechanisms. Our proposal is to build and compare networks ...

We define the differential network analysis of two extended core networks inferred with and without anti-sense actors. This relies on change motifs that ...

A large-scale differential analysis of apple data reveals that anti-sense regulation may have an important impact in several cellular stress response ...

We define the differential network analysis of two extended core networks inferred with and without anti-sense actors. This relies on change motifs that ...

Feb 29, 2024 · We develop a new ensemble method called BoostDiff (boosted differential regression trees) to infer a differential network discriminating between two conditions.