You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
where \(\displaystyle PlasmidnessScore = \sum_{i \in\Fragments{}} \plm{i}\frag{i}\).
37
-
\end{definition}
37
+
\end{definition}
38
+
39
+
\subsubsection{Find a solution of \MPS{} maximizing the coverage score and then the GC score}\label{sec:method:mps:refinement}
40
+
41
+
The solution set \(S_\MPS{}\) for \MPS{} contains solution with the same value of \(PlasmidnessScore\) and different values for \(CoverageFlow\) and \(GCScore\) because of~\Cref{mgc:cst:coverage_score_near_optimal,mps:cst:gc_probability_score_near_optimal}.
42
+
The final refinement stage consists in fixing the value of \(PlasmidnessScore\) and finding the subset of \(S_\MPS{}\) maximizing first \(CoverageFlow\) and then \(GCScore\).
43
+
It results in a last MILP formulation \(\MPS{}'\):
\Task{done}{Propose a refinement of the \MPS{} problem (\Cref{sec:method:mps:refinement})}
25
+
\end{CheckList}
26
+
\end{newfeatbox}
27
+
28
+
\begin{newfeatbox}
29
+
\textbf{2025--03--17} Done since last times:
22
30
23
31
\begin{CheckList}{Task}
24
32
\Task{done}{Model a connected-flow in MILP to avoid iteratively resolving the problem until the solution subgraph has only one connected component. This answers one point of the PlasBin-flow discussion (\Cref{sec:method:mcf})}
0 commit comments