[HTML][HTML] Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer

L Ren, D Huang, H Liu, L Ning… - Oncology …, 2024 - … .spandidos-publications.com
Gastric cancer (GC) is a prominent contributor to global cancer‑related mortalities, and a
deeper understanding of its molecular characteristics and tumor heterogeneity is required …

Deep-AGP: Prediction of angiogenic protein by integrating two-dimensional convolutional neural network with discrete cosine transform

F Ali, W Alghamdi, AO Almagrabi, O Alghushairy… - International Journal of …, 2023 - Elsevier
Angiogenic proteins (AGPs) play a primary role in the formation of new blood vessels from
pre-existing ones. AGPs have diverse applications in cancer, including serving as …

RDscan: Extracting RNA-disease relationship from the literature based on pre-training model

Y Zhang, Y Yang, L Ren, L Ning, Q Zou, N Luo… - Methods, 2024 - Elsevier
With the rapid advancements in molecular biology and genomics, a multitude of connections
between RNA and diseases has been unveiled, making the efficient and accurate extraction …

iGly-IDN: Identifying Lysine Glycation Sites in Proteins Based on Improved DenseNet

J Jia, G Wu, M Li - Journal of Computational Biology, 2024 - liebertpub.com
Lysine glycation is one of the most significant protein post-translational modifications, which
changes the properties of the proteins and causes them to be dysfunctional. Accurately …

[PDF][PDF] RDscan: Extracting RNA-disease relationship from literature Using pre-training model

Y Yang, L Ren, L Ning, N Luo, Y Zhang, R Liu - 2024 - scholar.archive.org
With the rapid advancements in molecular biology and genomics, a multitude of connections
between RNA and diseases has been unveiled, making the efficient and accurate extraction …