Daniele Tavernelli,Tiziana Calamoneri,Paola Vocca
Daniele Tavernelli
Tree reconciliation is a general framework for investigating the mutual influence between gene and species trees according to the parsimony principle, that is, to each evolutionary event a cost is assigned and the goal is to find a reconcil...
Learning Useful Representations of DNA Sequences From ChIP-Seq Datasets for Exploring Transcription Factor Binding Specificities [0.03%]
从ChIP-Seq数据集中学习DNA序列的有用表示形式以探究转录因子的结合特异性
Lijun Quan,Xiaoyu Sun,Jian Wu et al.
Lijun Quan et al.
Deep learning has been successfully applied to surprisingly different domains. Researchers and practitioners are employing trained deep learning models to enrich our knowledge. Transcription factors (TFs)are essential for regulating gene ex...
Scalable Non-Linear Graph Fusion for Prioritizing Cancer-Causing Genes [0.03%]
可扩展的非线性图融合在致癌基因排序中的应用
Ekta Shah,Pradipta Maji
Ekta Shah
In the past few decades, both gene expression data and protein-protein interaction (PPI)networks have been extensively studied, due to their ability to depict important characteristics of disease-associated genes. In this regard, the paper ...
scLRTD : A Novel Low Rank Tensor Decomposition Method for Imputing Missing Values in Single-Cell Multi-Omics Sequencing Data [0.03%]
scLRTD：一种用于填充单细胞多组学测序数据中缺失值的新低秩张量分解方法
Zhijie Ni,Xiaoying Zheng,Xiao Zheng et al.
Zhijie Ni et al.
With the successful application of single-cell sequencing technology, a large number of single-cell multi-omics sequencing (scMO-seq)data have been generated, which enables researchers to study heterogeneity between individual cells. One pr...
Multi-Scale Capsule Network for Predicting DNA-Protein Binding Sites [0.03%]
用于预测DNA-蛋白质结合位点的多尺度胶囊网络
Qinhu Zhang,Wenbo Yu,Kyungsook Han et al.
Qinhu Zhang et al.
Discovering DNA-protein binding sites, also known as motif discovery, is the foundation for further analysis of transcription factors (TFs). Deep learning algorithms such as convolutional neural networks (CNN) have been introduced to motif ...
Statistical Analysis of Microarray Data Clustering using NMF, Spectral Clustering, Kmeans, and GMM [0.03%]
使用NMF，谱聚类，Kmeans和GMM对微阵列数据聚类的统计分析
Andri Mirzal
Andri Mirzal
In unsupervised learning literature, the study of clustering using microarray gene expression datasets has been extensively conducted with nonnegative matrix factorization (NMF), spectral clustering, kmeans, and gaussian mixture model (GMM)...
Predicting TF-DNA Binding Motifs from ChIP-seq Datasets Using the Bag-Based Classifier Combined With a Multi-Fold Learning Scheme [0.03%]
基于袋式分类器和多折学习方案的ChIP-seq数据转录因子DNA结合位点预测
Qinhu Zhang,Dailun Wang,Kyungsook Han et al.
Qinhu Zhang et al.
The rapid development of high-throughput sequencing technology provides unique opportunities for studying of transcription factor binding sites, but also brings new computational challenges. Recently, a series of discriminative motif discov...
A Multi-Scale Activity Transition Network for Data Translation in EEG Signals Decoding [0.03%]
用于EEG信号解码中数据转换的多尺度活动转换网络
Bo Lin,Shuiguang Deng,Honghao Gao et al.
Bo Lin et al.
Electroencephalogram (EEG) is a non-invasive collection method for brain signals. It has broad prospects in brain-computer interface (BCI) applications. Recent advances have shown the effectiveness of the widely used convolutional neural ne...
EMS3: An Improved Algorithm for Finding Edit-Distance Based Motifs [0.03%]
EMS3:一个改进的用于查找基于编辑距离motif的算法
Peng Xiao,Xingyu Cai,Sanguthevar Rajasekaran
Peng Xiao
Discovering patterns in biological sequences is a crucial step to extract useful information from them. Motifs can be viewed as patterns that occur exactly or with minor changes across some or all of the biological sequences. Motif search h...
A Novel Encoding and Decoding Calibration Guiding Pathway for Pathological Image Analysis [0.03%]
一种用于病理性图像分析的新型编码和解码校准引导通路
Hansheng Li,Jianping Li,Yuxin Kang et al.
Hansheng Li et al.
Diagnostic pathology is the foundation and gold standard for identifying carcinomas, and the accurate quantification of pathological images can provide objective clues for pathologists to make more convincing diagnosis. Recently, the encode...