The Coronavirus

Don't Miss

Prevention Strategy

Employing deep learning model to evaluate speech information in acoustic simulations of Cochlear implants

Radford, A. K., J.W.; Xu, T.; Brockman, G.; McLeavey, C.; Sutskever, I. Robust Speech Recognition via Large-ScaleWeak Supervision. arXiv, https://doi.org/10.48550/arXiv.2212.04356 (2022).Weerts, L. R. S., Clopath C.; Goodman...

Proteomic analysis of CD29+ Müller cells reveals metabolic reprogramming in rabbit myopia model

AnimalsFour 5–6-week-old New Zealand rabbits, weighing 1.5–2 kg, were obtained from the Department of Laboratory Animal Resources, Yonsei Biomedical Research Institute, Yonsei University College of Medicine. All animals...

RNA architecture of porcine deltacoronavirus genome inside virions detected by vRIC-seq

Cell culture and virions sample preparationLilly Laboratories cell porcine kidney 1 (LLC-PK1, ATCC CL-101) cells were cultured in Minimun Essential Medium (MEM; Invitrogen) supplemented with 10% fetal...

Vital Information

Economical impact

Facts

Latest Articles

StratoMod: predicting sequencing and variant calling errors with interpretable machine learning

Figure 1 shows the overall approach of StratoMod. For this study, we trained multiple iterations of StratoMod to showcase its ability to predict recall, precision,...

Importance of OCT-derived biomarkers for the recurrence of central serous chorioretinopathy using statistics and predictive modelling

In this retrospective study, we employed inferential statistics and multivariate logistic regression to identify several biomarkers associated with CSCR recurrence using clinical images.Imaging has...

DNASimCLR: a contrastive learning-based deep learning approach for gene sequence data classification | BMC Bioinformatics

Gene sequence classificationThe rapid advancement in high-throughput sequencing technologies has revolutionized the study of microorganisms, shifting away from reliance solely on cultured cells or...

The decomposition of perturbation modeling

The decomposition of perturbation modeling

Integrated machine learning and Mendelian randomization reveal PALMD as a prognostic biomarker for nonspecific orbital inflammation

DEG identification and construction of the modelDifferential analyses were performed using the limma package of R4.31 software. With pheatmap package to build the heatmap23....

Hot Topics