WAIL
发表于 2025-3-30 11:28:26
Fully Convolutional Neural Network for Predicting Cancer-Specific CircRNA-MiRNA Interaction SitescRNAs regulate gene expression by adsorbing miRNAs and acting as ‘sponges’. Dysregulation of miRNAs has been observed in various cancer tissues, and co-expression of circRNAs with miRNAs has been noted in many cancer tissues. The co-expression of miRNAs with circRNAs may play an important role in re
jagged
发表于 2025-3-30 14:32:06
GSDPI: An Integrated Feature Extraction Framework for Predicting Novel Drug-Protein Interactionelopment processes. However, existing DPIs prediction models still encounter challenges in efficiently extracting node features from complex networks. This paper proposed a novel DPIs prediction framework named GSDPI, in which graph neural networks (GNN) were employed to aggregate neighborhood infor
companion
发表于 2025-3-30 19:55:10
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情感脆弱
发表于 2025-3-31 00:02:32
HyperCPI: A Novel Method Based on Hypergraph for Compound Protein Interaction Prediction with Good Gowever, existing deep learning approaches face a challenge due to the lack of representations for non-pairwise relations and substructures in compounds, leading to limited performance and poor generalization ability. To address this challenge, a novel method named HyperCPI is proposed in this study.
致敬
发表于 2025-3-31 00:56:00
iEMNN: An Iterative Integration Method for Single-Cell Transcriptomic Data Based on Network Similarits arise from non-biological variations such as different sequencing batches, sequencing protocols, sequencing depths, and so on. Batch effects introduce systematic biases and confound biological variations of interest, which have a detrimental impact on the validity of study findings. Eliminating b
forbid
发表于 2025-3-31 05:34:23
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不自然
发表于 2025-3-31 11:30:03
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JAUNT
发表于 2025-3-31 16:51:48
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河潭
发表于 2025-3-31 17:37:07
CDDTR: Cross-Domain Autoencoders for Predicting Cell Type Specific Drug-Induced Transcriptional Respextracted by 10-fold cross-validation have a 0.663 PCC, revealing the competence of CDDTR to predict the cross-cell type responses. By integrating perturbations from multiple cell lines and incorporating pre-training, the predictive performance of CDDTR can be further improved. Source code is availa
不朽中国
发表于 2025-4-1 00:33:46
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