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Using spheroids as building blocks towards 3D bioprinting of tumor microenvironment
Cancer still ranks as a leading cause of mortality worldwide. Although considerable efforts
have been dedicated to anticancer therapeutics, progress is still slow, partially due to the …
have been dedicated to anticancer therapeutics, progress is still slow, partially due to the …
GenoM7GNet: An Efficient N7-Methylguanosine Site Prediction Approach Based on a Nucleotide Language Model
N-methylguanosine (m7G), one of the mainstream post-transcriptional RNA modifications,
occupies an exceedingly significant place in medical treatments. However, classic …
occupies an exceedingly significant place in medical treatments. However, classic …
A computational framework for predicting novel drug indications using graph convolutional network with contrastive learning
Y Luo, W Shan, L Peng, L Luo, P Ding… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Inferring potential drug indications plays a vital role in the drug discovery process. It can be
time-consuming and costly to discover novel drug indications through biological …
time-consuming and costly to discover novel drug indications through biological …
A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods
The coronavirus disease 2019 pandemic has alerted people of the threat caused by viruses.
Vaccine is the most effective way to prevent the disease from spreading. The interaction …
Vaccine is the most effective way to prevent the disease from spreading. The interaction …
ViPal: a framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences
Influenza viruses pose great threats to public health and cause enormous economic losses
every year. Previous work has revealed the viral factors associated with the virulence of …
every year. Previous work has revealed the viral factors associated with the virulence of …
Clcap: contrastive learning improves antigenicity prediction for influenza a virus using convolutional neural networks
Influenza viruses are detected year-round over the world and the viruses will usually
circulate during fall and winter, causing the seasonal flu. The growing novel variants of …
circulate during fall and winter, causing the seasonal flu. The growing novel variants of …
Weighted Voting Ensemble Learning of CNN Architectures for Diabetic Retinopathy Classification
Diabetic Retinopathy (DR) is a diabetes disease that attacks the retina of the eye and can be
recognized through retinal images. The process of assisting retinal images can be done by …
recognized through retinal images. The process of assisting retinal images can be done by …
Comet: Convolutional dimension interaction for collaborative filtering
Representation learning-based recommendation models play a dominant role among
recommendation techniques. However, most of the existing methods assume both historical …
recommendation techniques. However, most of the existing methods assume both historical …