Prediction of Potential miRNA-Disease Associations Based on a Masked Graph Autoencoder [0.03%]
基于掩码图自编码器的潜在miRNA-疾病关联预测方法
Chenchen Ke,Hailin Feng,Quan Zou et al.
Chenchen Ke et al.
Biomedical evidence has demonstrated the relevance of microRNA (miRNA) dysregulation in complex human diseases, and determining the relationship between miRNAs and diseases can aid in the early detection and prevention of diseases. Traditio...
Ense-i6mA: Identification of DNA N6-methyl-adenine Sites Using XGB-RFE Feature Se-lection and Ensemble Machine Learning [0.03%]
基于XGB-RFE特征选择和集成机器学习的DNA N6-甲基腺嘌呤识别方法
Xue-Qiang Fan,Bing Lin,Jun Hu et al.
Xue-Qiang Fan et al.
DNA N6-methyladenine (6mA) is an important epigenetic modification that plays a vital role in various cellular processes. Accurate identification of the 6mA sites is fundamental to elucidate the biological functions and mechanisms of modifi...
Optimal Structured Matrix Approximation for Robustness to Incomplete Biosequence Data [0.03%]
针对不完整生物序列数据的稳健结构矩阵近似优化
Chris Salahub,Jeffrey Uhlmann
Chris Salahub
We propose a general method for optimally approximating an arbitrary matrix M by a structured matrix T (circulant, Toeplitz/Hankel, etc.) and examine its use for estimating the spectra of genomic linkage disequilibrium matrices. This applic...
Ruriko Yoshida,David Barnhill,Keiji Miura et al.
Ruriko Yoshida et al.
Much evidence from biological theory and empirical data indicates that, gene trees, phylogenetic trees reconstructed from different genes (loci), do not have to have exactly the same tree topologies. Such incongruence between gene trees mig...
Haplotype frequency inference from pooled genetic data with a latent multinomial model [0.03%]
基于潜在多项式模型的 pooling 基因数据的单体型频率估计方法
Yong See Foo,Jennifer Flegg
Yong See Foo
In genetic association studies, haplotype data provide more refined information than data about separate genetic markers. However, large-scale studies that genotype hundreds to thousands of individuals may only provide results of pooled dat...
Khalid Usman,Fangping Wan,Dan Zhao et al.
Khalid Usman et al.
The recent boom in single-cell sequencing technologies provides valuable insights into the transcriptomes of individual cells. Through single-cell data analyses, a number of biological discoveries, such as novel cell types, developmental ce...
BLAM6A-Merge: Leveraging Attention Mechanisms and Feature Fusion Strategies to Improve the Identification of RNA N6-methyladenosine Sites [0.03%]
基于注意力机制和特征融合策略的RNA甲基化位点识别模型BLAM6A-Merge
Yunpeng Xia,Ying Zhang,Dian Liu et al.
Yunpeng Xia et al.
RNA N6-methyladenosine is a prevalent and abundant type of RNA modification that exerts significant influence on diverse biological processes. To date, numerous computational approaches have been developed for predicting methylation, with m...
Zhen Ju,Jingjing Zhang,Xuelei Li et al.
Zhen Ju et al.
The amount of genetic data generated by Next Generation Sequencing (NGS) technologies grows faster than Moore's law. This necessitates the development of efficient NGS data processing and analysis algorithms. A filter before the computation...
DDI Prediction with Heterogeneous Information Network - Meta-Path Based Approach [0.03%]
基于元路径的异构信息网药物相互作用预测方法研究
Farhan Tanvir,Khaled Mohammed Saifuddin,Muhammad Ifte Khairul Islam et al.
Farhan Tanvir et al.
Drug-drug interaction (DDI) indicates where a particular drug's desired course of action is modified when taken with other drug (s). DDIs may hamper, enhance, or reduce the expected effect of either drug or, in the worst possible scenario, ...
Calculation of the Weight of Evidence for Combined Single-Cell and Extracellular Forensic DNA [0.03%]
结合单细胞和细胞外的法医DNA的重量证据计算
Desmond S Lun,Catherine M Grgicak
Desmond S Lun
The weight of DNA evidence for forensic applications is typically assessed through the calculation of the likelihood ratio (LR). In the standard workflow, DNA is extracted from a collection of cells where the cells of an unknown number of d...