Aug 16, 2022 · The experimental results also validated that the edge weight in the personalized gene interaction network can improve the performance of PDGPCS.

Aug 16, 2022 · PDGPCS can more accurately identify the personalized driver genes and takes a step further toward personalized medicine and treatment.

Cancer is a heterogeneous disease in which tumor genes cooperate as well as adapt and evolve to the changing conditions for individual patients.

Aug 16, 2022 · In addition, we verified that the personalized edge weight of gene interaction network can improve the prediction performance. Conclusions ...

Additional file 5 of Prioritization of cancer driver gene with prize-collecting steiner tree by introducing an edge weighted strategy in the personalized gene ...

Prioritization of cancer driver gene with prize-collecting steiner tree by introducing an edge weighted strategy in the personalized gene interaction network.

Prioritization of cancer driver gene with prize-collecting steiner tree by introducing an edge weighted strategy in the personalized gene interaction network.

Prioritization of cancer driver gene with prize-collecting steiner tree by introducing an edge weighted strategy in the personalized gene interaction network.

The algorithm, called PRODIGY, analyzes the expression and mutation profiles of the patient along with data on known pathways and protein-protein interactions.

Prioritization of cancer driver gene with prize-collecting steiner tree by introducing an edge weighted strategy in the personalized gene interaction network.