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Deep learning for peptide identification from metaproteomics datasets (open access)

Deep learning for peptide identification from metaproteomics datasets

This article explores a proposed deep-learning-based algorithm called DeepFilter for improving peptide identifications from a collection of tandem mass spectra. The authors find that DeepFilter is believed to generalize properly to new, previously unseen peptide-spectrum-matches and can be readily applied in peptide identification from metaproteomics data.
Date: July 8, 2021
Creator: Feng, Shichao; Sterzenbach, Ryan & Guo, Xuan
System: The UNT Digital Library
Harnessing nanofiber alignment and pore size to promote stem cell self-renewal and differentiation (open access)

Harnessing nanofiber alignment and pore size to promote stem cell self-renewal and differentiation

Article describes how stem cell therapy holds immense potential for regenerative medicine, but its applications are limited due to the loss of pluripotency during in vitro expansion. This study reveals that the arrangement of electrospun fibers aligns with the distribution and strength of the electric field through both experimentation and simulation.
Date: July 25, 2023
Creator: Wei, Qiang; Blake, Laurence; Liu, Jiafeng; Man, Kun; Liang, Cindy; Teoh, Alexandra et al.
System: The UNT Digital Library