Dong-Yeon Cho

TL;DR: This work defines protein-protein interactions using a coaffinity purification/mass spectrometry method and studies 459 Drosophila melanogaster transcription-related factors to define an integrated network that connects combinatorial TF protein interactions to the transcriptional regulatory network of the cell.

TL;DR: A new representation named S-trees is proposed for both the structural and dynamical modeling of a biochemical network within a unified scheme and the proposed algorithm can successfully identify the true structure except only one relation.

TL;DR: The authors' data indicate that expression perturbation propagates in network space, and Autosomal compensation, or the lack thereof, is a gene-specific response, largely mediated by interactions with the rest of the transcriptome.

TL;DR: Comparisons are reported on of the experimental results of machine learning techniques used for analyzing gene expression data to classify cancer types using the CAMDA Data Set 2.