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 1–3 of 3 results
Advanced filters: Author: Katherine C. Elbert Clear advanced filters

  • PTSD has been associated with DNA methylation of specific loci in the genome, but studies have been limited by small sample sizes. Here, the authors perform a meta-analysis of DNA methylation data from 10 different cohorts and identify CpGs in AHRR that are associated with PTSD.

    • Alicia K. Smith
    • Andrew Ratanatharathorn
    • Caroline M. Nievergelt
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-9

  • Failed chemical reactions are rarely reported, even though they could still provide information about the bounds on the reaction conditions needed for product formation; here data from such reactions are used to train a machine-learning algorithm, which is subsequently able to predict reaction outcomes with greater accuracy than human intuition.

    • Paul Raccuglia
    • Katherine C. Elbert
    • Alexander J. Norquist
    Research
    Nature
    Volume: 533, P: 73-76

  • Gaussian process regression (GPR) is a powerful, non-parametric and robust technique for uncertainty quantification and function approximation that can be applied to optimal and autonomous data acquisition. This Review introduces the basics of GPR and discusses several use cases from different fields.

    • Marcus M. Noack
    • Petrus H. Zwart
    • James A. Sethian
    Reviews
    Nature Reviews Physics
    Volume: 3, P: 685-697