Pablo Rodriguez-Mier (@pablormier.bsky.social)

Unifying multi-sample network inference from prior knowledge and omics data with CORNETO Mixed-integer optimization Mixed-integer programming is a type of constrained optimization problem that involves decision variables that can be both integer and continuous. A mixed-integer programming problem can be defined as follows: $$\begin{array}{ll}\mathop{\min }\limits_{{\bf{x}}\in {{\mathbb{R}}}^{n},\,{\bf{y}}\in {{\mathbb{Z}}}^{m}}&f({\bf{x}},{\bf{y}})\\ \,\text{subject to}\,&{g}_{i}({\bf{x}},{\bf{y}})\le 0,\quad i=1,2,\ldots ,k,\\... https://www.nature.com/articles/s42256-025-01069-9