MAG
myelin associated glycoprotein
Gene Context Sentence
Table 2. Analysis of context sentence of MAG gene in 3 abstracts.
| PMID | Gene Context Sentence |
|---|---|
| 32574379 | In a rare neurologic disease known as IgM monoclonal gammopathy the immune system targets a sulfated trisaccharide known as the Human Natural Killer-1 (HNK-1) epitope that comprises a constituent of the myelin sheath known as MAG (myelin-associated glycoprotein). […] This decoy, poly(phenyl disodium 3-O-sulfo-β-d-glucopyranuronate)-(1→3)-β-d-galactopyranoside, known as PPSGG, removed anti-MAG IgM autoantibodies from the blood, while not activating the immune system. |
| 32849104 | They were divided into three groups [i.e., inactive group (IG): less than 600 metabolic equivalent of tasks (METs), n = 131; minimally active group (MAG): from 600 to 2,999 METs, n = 49; and health-enhancing PA group (HEPAG): 3,000 + METs, n = 36] based on their habitual PA level in the period of confinement. […] The main findings of the present study showed that MAG and HEPAG have better total PA, physical, psychological, social, and environmental QoL domains scores than IG (all, p < 0.01). |
| 33560995 | Automated lung infections classification using chest X-ray (CXR) images could strengthen diagnostic capability when handling COVID-19. […] However, classifying COVID-19 from pneumonia cases using CXR image is a difficult task because of shared spatial characteristics, high feature variation and contrast diversity between cases. […] To address these challenges, Multiscale Attention Guided deep network with Soft Distance regularization (MAG-SD) is proposed to automatically classify COVID-19 from pneumonia CXR images. […] In MAG-SD, MA-Net is used to produce prediction vector and attention from multiscale feature maps. […] Our multiscale attention model achieves better classification performance on our pneumonia CXR image dataset. […] Plentiful experiments are proposed for MAG-SD which demonstrates its unique advantage in pneumonia classification over cutting-edge models. […] The code is available at https://github.com/JasonLeeGHub/MAG-SD. |