Jan 14, 2020 · This new pipeline allows biologists to develop their own predictive models based on a list of genes. It facilitates the identification of new regulatory ...

Jan 14, 2020 · This new pipeline allows biologists to develop their own predictive models based on a list of genes. It facilitates the identification of ...

related to the article entitled A pipeline to create predictive functional networks: application to the tumor progression of hepatocellular carcinoma.

Oct 24, 2024 · We applied it in the context of hepatocellular carcinoma (HCC) progression, and evaluate the precision and the stability of these computational ...

A pipeline to create predictive functional networks: application to the tumor progression of hepatocellular carcinoma. Maxime Folschette. ,. Vincent ...

Jan 14, 2020 · This archive contains input and output data related to hepatocellular carcinoma agressiveness that were used in this work to illustrate the ...

Aug 27, 2024 · A pipeline to create predictive functional networks: application to the tumor progression of hepatocellular carcinoma. Maxime Folschette (1 ...

We introduce the key-pipeline , a python package implementing a workflow for identifying key protein-complexes associated to tumor progression. From an initial ...

MOESM1 of A pipeline to create predictive functional networks: application to the tumor progression of hepatocellular carcinoma · Maxime Folschette · Vincent ...

The presented work proposes an automatic pipeline to extract automatically regulatory knowledge from pathway databases and generate novel computational ...