A pipeline to create predictive functional networks: application to the tumor progression of hepatocellular carcinoma - Archive ouverte HAL Access content directly
Journal Articles BMC Bioinformatics Year : 2020

A pipeline to create predictive functional networks: application to the tumor progression of hepatocellular carcinoma

Fichier principal
Vignette du fichier
A_pipeline_to_create_predictive_functional_networks__application_to_the_tumor_progression_of_hepatocellular_carcinoma (1).pdf (336.27 Ko) Télécharger le fichier
A_pipeline_to_create_predictive_functional_networks__application_to_the_tumor_progression_of_hepatocellular_carcinoma_appendix.pdf (8.03 Mo) Télécharger le fichier
Additional file 3.zip (5.64 Ko) Télécharger le fichier
additional-file-2.zip (6.06 Mo) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-02095930 , version 1 (10-04-2019)
hal-02095930 , version 2 (11-04-2019)
hal-02095930 , version 3 (22-10-2019)
hal-02095930 , version 4 (13-12-2019)

Identifiers

Cite

Maxime Folschette, Vincent Legagneux, Arnaud Poret, Lokmane Chebouba, Carito Guziolowski, et al.. A pipeline to create predictive functional networks: application to the tumor progression of hepatocellular carcinoma. BMC Bioinformatics, 2020, 21 (1), pp.18. ⟨10.1186/s12859-019-3316-1⟩. ⟨hal-02095930v4⟩
729 View
343 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More