PseU-KeMRF: A novel method for identifying RNA pseudouridine sites [0.03%]
PseU-KeMRF：一种识别RNA假尿苷位点的新方法
Mingshuai Chen,Quan Zou,Ren Qi et al.
Mingshuai Chen et al.
Pseudouridine is a type of abundant RNA modification that is seen in many different animals and is crucial for a variety of biological functions. Accurately identifying pseudouridine sites within the RNA sequence is vital for the subsequent...
TransC-ac4C: Identification of N4-acetylcytidine (ac4C) sites in mRNA using deep learning [0.03%]
基于深度学习的mRNA中N4-乙酰胞苷（ac4C）位点识别方法
Dian Liu,Zi Liu,Yunpeng Xia et al.
Dian Liu et al.
N4-acetylcytidine (ac4C) is a post-transcriptional modification in mRNA that is critical in mRNA translation in terms of stability and regulation. In the past few years, numerous approaches employing convolutional neural networks (CNN) and ...
LGCDA: Predicting CircRNA-Disease Association Based on Fusion of Local and Global Features [0.03%]
基于局部和全局特征融合的circRNA-疾病关联预测方法(LGCDA)
Wei Lan,Chunling Li,Qingfeng Chen et al.
Wei Lan et al.
CircRNA has been shown to be involved in the occurrence of many diseases. Several computational frameworks have been proposed to identify circRNA-disease associations. Despite the existing computational methods have obtained considerable su...
Deep Imputation Bi-stochastic Graph Regularized Matrix Factorization for Clustering Single-cell RNA-sequencing Data [0.03%]
深度插补双随机图正则化矩阵分解在单细胞RNA测序数据聚类中的应用
Wei Lan,Jianwei Chen,Mingyang Liu et al.
Wei Lan et al.
By generating massive gene transcriptome data and analyzing transcriptomic variations at the cell level, single-cell RNA-sequencing (scRNA-seq) technology has provided new way to explore cellular heterogeneity and functionality. Clustering ...
HybAVPnet: a Novel Hybrid Network Architecture for Antiviral Peptides Prediction [0.03%]
一种新颖的抗病毒肽预测混合网络模型HybAVPnet
Ruiquan Ge,Yixiao Xia,Minchao Jiang et al.
Ruiquan Ge et al.
Viruses pose a great threat to human production and life, thus the research and development of antiviral drugs is urgently needed. Antiviral peptides play an important role in drug design and development. Compared with the time-consuming an...
Multi-Task Learning and Sparse Discriminant Canonical Correlation Analysis for Identification of Diagnosis-Specific Genotype-Phenotype Association [0.03%]
多任务学习和稀疏判别典型相关分析用于鉴定诊断特异的基因型表型联系
Sankar Mondal,Pradipta Maji
Sankar Mondal
The primary objective of imaging genetics research is to investigate the complex genotype-phenotype association for the disease under study. For example, to understand the impact of genetic variations over the brain functions and structure,...
Exhaustive Exploitation of Nature-Inspired Computation for Cancer Screening in an Ensemble Manner [0.03%]
基于群体学习的癌症检测的自然启发式计算算法综合研究
Xubin Wang,Yunhe Wang,Zhiqiang Ma et al.
Xubin Wang et al.
Accurate screening of cancer types is crucial for effective cancer detection and precise treatment selection. However, the association between gene expression profiles and tumors is often limited to a small number of biomarker genes. While ...
Exploring ncRNA-Drug Sensitivity Associations Via Graph Contrastive Learning [0.03%]
基于图对比学习的ncRNA-药物敏感性关联研究
Xiaowen Hu,Ying Jiang,Lei Deng
Xiaowen Hu
Increasing evidence has shown that noncoding RNAs (ncRNAs) can affect drug efficiency by modulating drug sensitivity genes. Exploring the association between ncRNAs and drug sensitivity is essential for drug discovery and disease prevention...
NURECON: A Novel Online System for Determining Nutrition Requirements Based on Microbial Composition [0.03%]
基于微生物组成确定营养需求的新型在线系统NURECON
Zhao-Qi Hu,Yuan-Mao Hung,Li-Han Chen et al.
Zhao-Qi Hu et al.
Dietary habits have been proven to have an impact on the microbial composition and health of the human gut. Over the past decade, researchers have discovered that gut microbiota can use nutrients to produce metabolites that have major impli...
Modeling Defensive Response of Cells to Therapies: Equilibrium Interventions for Regulatory Networks [0.03%]
细胞防御反应的疗法模型：调节网络的平衡干预措施
Seyed Hamid Hosseini,Mahdi Imani
Seyed Hamid Hosseini
A major objective in genomics is to design interventions that can shift undesirable behaviors of such systems (i.e., those associated with cancers) into desirable ones. Several intervention policies have been developed in recent years, incl...