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 1–4 of 4 results
Advanced filters: Author: "Pengyi Yang" Clear advanced filters

  • Simulation is useful for developing and evaluating computational methods. Here, the authors develop a comprehensive evaluation framework, SimBench, to benchmark Single-cell RNA-seq simulation methods through a diverse collection of experimental datasets.

    • Yue Cao
    • Pengyi Yang
    • Jean Yee Hwa Yang
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-12

  • Defining cell identity is a fundamental task in dissecting the cellular heterogeneity in single-cell data. Here the authors developed Cepo, a method to uncover cell identity genes and enhance the retrieval of cellular identities from scRNA-seq data.

    • Hani Jieun Kim
    • Kevin Wang
    • Pengyi Yang
    Research
    Nature Computational Science
    Volume: 1, P: 784-790

  • Recent developments in machine learning have seen the merging of ensemble and deep learning techniques. The authors review advances in ensemble deep learning methods and their applications in bioinformatics, and discuss the challenges and opportunities going forward.

    • Yue Cao
    • Thomas Andrew Geddes
    • Pengyi Yang
    Reviews
    Nature Machine Intelligence
    Volume: 2, P: 500-508