Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–2 of 2 results
Advanced filters: Author: Nacho Molina Clear advanced filters

  • Single-cell RNA-sequencing technology gives access to cell cycle dynamics without externally perturbing the cell. Here the authors present DeepCycle,a robust deep learning method to infer the cell cycle state in single cells from scRNA-seq data.

    • Andrea Riba
    • Attila Oravecz
    • Nacho Molina
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-13

  • Although much effort has been devoted to determine the 3D structure of chromatin, there is a need for new experimental and computational methods. Here the authors present GP-FBM to extract chromatin diffusion parameters with high precision and apply it to live-imaging of embryonic stem cells, revealing that the diffusive properties of mitotic and interphase chromatin do not differ significantly.

    • Guilherme M. Oliveira
    • Attila Oravecz
    • Nacho Molina
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-11