Drug design and disease diagnosis: the potential of deep learning models in biology
S Sreeraman, MP Kannan… - Current …, 2023 - ingentaconnect.com
Early prediction and detection enable reduced transmission of human diseases and provide
healthcare professionals ample time to make subsequent diagnoses and treatment …
healthcare professionals ample time to make subsequent diagnoses and treatment …
LDA-VGHB: identifying potential lncRNA–disease associations with singular value decomposition, variational graph auto-encoder and heterogeneous Newton …
L Peng, L Huang, Q Su, G Tian, M Chen… - Briefings in …, 2024 - academic.oup.com
Long noncoding RNAs (lncRNAs) participate in various biological processes and have close
linkages with diseases. In vivo and in vitro experiments have validated many associations …
linkages with diseases. In vivo and in vitro experiments have validated many associations …
iEssLnc: quantitative estimation of lncRNA gene essentialities with meta-path-guided random walks on the lncRNA-protein interaction network
YY Zhang, DM Liang, PF Du - Briefings in Bioinformatics, 2023 - academic.oup.com
Gene essentiality is defined as the extent to which a gene is required for the survival and
reproductive success of a living system. It can vary between genetic backgrounds and …
reproductive success of a living system. It can vary between genetic backgrounds and …
BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification
The accurate classification of non-coding RNA (ncRNA) sequences is pivotal for advanced
non-coding genome annotation and analysis, a fundamental aspect of genomics that …
non-coding genome annotation and analysis, a fundamental aspect of genomics that …
HGECDA: a heterogeneous graph embedding model for CircRNA-disease association prediction
Y Fu, R Yang, L Zhang, X Fu - IEEE Journal of Biomedical and …, 2023 - ieeexplore.ieee.org
Circular RNAs (circRNAs) are specifically and abnormally expressed in disease tissues, and
thus can be used as biomarkers to diagnose relevant diseases. Predicting circRNA-disease …
thus can be used as biomarkers to diagnose relevant diseases. Predicting circRNA-disease …
MFPred: prediction of ncRNA families based on multi-feature fusion
K Chen, X Zhu, J Wang, Z Zhao, L Hao… - Briefings in …, 2023 - academic.oup.com
Non-coding RNA (ncRNA) plays a critical role in biology. ncRNAs from the same family
usually have similar functions, as a result, it is essential to predict ncRNA families before …
usually have similar functions, as a result, it is essential to predict ncRNA families before …
linc00511 knockdown inhibits Lung cancer progression by regulating miR-16-5p/MMP11
Z Song, J Luo, M Wu, Z Zhang - Critical Reviews™ in …, 2023 - dl.begellhouse.com
Lung cancer (LC) is a malignant tumor that extremely impairs people. According to
numerous studies, long non-coding RNA (lncRNA) was inextricably involved in the …
numerous studies, long non-coding RNA (lncRNA) was inextricably involved in the …
sincFold: end-to-end learning of short-and long-range interactions in RNA secondary structure
Results In this work we present sincFold, an end-to-end deep learning approach, that
predicts the nucleotides contact matrix using only the RNA sequence as input. The model is …
predicts the nucleotides contact matrix using only the RNA sequence as input. The model is …
MFPINC: prediction of plant ncRNAs based on multi-source feature fusion
Z Nie, M Gao, X **, Y Rao, X Zhang - BMC genomics, 2024 - Springer
Non-coding RNAs (ncRNAs) are recognized as pivotal players in the regulation of essential
physiological processes such as nutrient homeostasis, development, and stress responses …
physiological processes such as nutrient homeostasis, development, and stress responses …
Transcriptome Analysis Reveals the Role of Sucrose in the Production of Latilactobacillus sakei L3 Exopolysaccharide
B Wang, B Wu, M Xu, K Zuo, Y Han, Z Zhou - International Journal of …, 2024 - mdpi.com
Latilactobacillus (L.) sakei is a species of lactic acid bacteria (LAB) mostly studied according
to its application in food fermentation. Previously, L. sakei L3 was isolated by our laboratory …
to its application in food fermentation. Previously, L. sakei L3 was isolated by our laboratory …