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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
Detection of Parkinson's Disease Through Automated Pupil Tracking of the Post-illumination Pupillary Response
This article describes a system for pupil size estimation with a user interface to allow rapid adjustment of parameters and extraction of pupil parameters of interest in order to identify Parkinson's disease (PD) as early as possible.
Date:
March 25, 2021
Creator:
Tabashum, Thasina; Zaffer, Adnaan; Yousefzai, Raman; Colletta, Kalea; Jost, Mary Beth; Park, Youngsook et al.
System:
The UNT Digital Library
Unsupervised learning in images and audio to produce neural receptive fields: a primer and accessible notebook
This article presents a consolidated review of Independent Component Analysis (ICA) as an efficient neural coding scheme with the ability to model early visual and auditory neural processing.
Date:
October 19, 2021
Creator:
Urs, Namratha; Behpour, Sahar; Georgaras, Angie & Albert, Mark
System:
The UNT Digital Library
Using a microprocessor knee (C-Leg) with appropriate foot transitioned individuals with dysvascular transfemoral amputations to higher performance levels: a longitudinal randomized clinical trial
Article evaluating whether advanced prostheses can provide better safety and performance capabilities to maintain and improve quality of life in individuals who are predominantly designated MFCL level K2. This study used a 13 month longitudinal clinical trial to determine the benefits of using a C-Leg and 1M10 foot in individuals at K2 level with transfemoral amputation due to vascular disease.
Date:
May 25, 2021
Creator:
Jayaraman, Chandrasekaran; Mummidisetty, Chaithanya K.; Albert, Mark; Lipschutz, Robert; Hoppe-Ludwig, Shenan; Mathur, Gayatri et al.
System:
The UNT Digital Library