BioInfo

Affichage des résultats 1 à 12 sur 176 au total

BioInfo : 1 à 12 sur 176 au total

  • Communication dans un congrès

    Xiao Xiao, Sarah Fdili Alaoui. Tuning In to Intangibility : Reflections from My First 3 Years of Theremin Learning. DIS 2024 - Designing Interactive Systems Conference, Jul 2024, Copenhagen, Denmark. pp.2649-2659, ⟨10.1145/3643834.3661584⟩. ⟨hal-04930549⟩

    BioInfo, EX-SITU

    Année de publication

  • Article dans une revue

    Maxime Mahout, Laurent Schwartz, Romain Attal, Ashraf Bakkar, Sabine Peres. Metabolic modelling links Warburg effect to collagen formation, angiogenesis and inflammation in the tumoral stroma. PLoS ONE, 2024, 19 (12), pp.e0313962. ⟨10.1371/journal.pone.0313962⟩. ⟨hal-04873696⟩

    BioInfo

    Année de publication

    Disponible en libre accès

  • Pré-publication, Document de travail

    Dilek Koptekin, Ayça Aydoğan, Cansu Karamurat, N. Ezgi Altınışık, Kıvılcım Başak Vural, et al.. Out-of-Anatolia: cultural and genetic interactions during the Neolithic expansion in the Aegean. 2024. ⟨hal-04801125⟩

    AO, BioInfo

    Année de publication

  • Pré-publication, Document de travail

    Antoine Szatkownik, Léo Planche, Maïwen Demeulle, Titouan Chambe, María Ávila-Arcos, et al.. Diffusion-based artificial genomes and their usefulness for local ancestry inference. 2024. ⟨hal-04801121⟩

    AO, BioInfo

    Année de publication

    Disponible en libre accès

  • Pré-publication, Document de travail

    Antoine Szatkownik, Cyril Furtlehner, Guillaume Charpiat, Burak Yelmen, Flora Jay. Latent generative modeling of long genetic sequences with GANs. 2024. ⟨hal-04801130⟩

    AO, BioInfo

    Année de publication

    Disponible en libre accès

  • Pré-publication, Document de travail

    Burak Yelmen, Maris Alver, Estonian Biobank Research Team, Flora Jay, Lili Milani. Interpreting artificial neural networks to detect genome-wide association signals for complex traits. 2024. ⟨hal-04801114⟩

    AO, BioInfo

    Année de publication

    Disponible en libre accès

  • Pré-publication, Document de travail

    Stéphanie Chevalier, Julia Becker, Yujuan Gui, Vincent Noël, Cui Su, et al.. Data-driven inference of Boolean networks from transcriptomes to predict cellular differentiation and reprogramming. 2024. ⟨hal-04753079⟩

    BioInfo

    Année de publication

    Disponible en libre accès