Faster and More Accurate Estimation of Protein Hinges Based on Information Criteria [0.03%]
基于信息准则的蛋白质铰链更快、更准确的估计方法
Bunsho Koyano,Tetsuo Shibuya
Bunsho Koyano
Protein hinges are flexible parts connecting several rigid substructures of proteins that are crucial to determine protein function. Various methods have been developed for efficiently and accurately estimating protein hinge positions by co...
On the Dynamics of HIV-Tuberculosis Coinfection Model with Temporal Recovery from Tuberculosis: An Analysis [0.03%]
具有临时康复的HIV-结核病共感染模型的动力学分析
Pankaj Singh Rana,Nitin Sharma,Sunil Singh Negi et al.
Pankaj Singh Rana et al.
The current study is an attempt to frame a deterministic compartmental model for HIV-TB coinfection, considering temporary recovery from Tuberculosis (TB) after treatment (the possibility of reinfection with TB even after recovery). The pro...
FedOpenHAR: Federated Multitask Transfer Learning for Sensor-Based Human Activity Recognition [0.03%]
基于传感器的联邦多任务迁移学习人类行为识别
Egemen İşgÜder,Özlem Durmaz İncel
Egemen İşgÜder
Wearable and mobile devices equipped with motion sensors offer important insights into user behavior. Machine learning and, more recently, deep learning techniques have been applied to analyze sensor data. Typically, the focus is on a singl...
Multichannel Contribution Aware Network for Prostate Cancer Grading in Histopathology Images [0.03%]
考虑多通道贡献的组织学图像前列腺癌分级网络
Junlai Qiu,Qingfeng Chen,Wei Lan et al.
Junlai Qiu et al.
Gleason grading of prostate histopathology images is widely used by pathologists for diagnosis and prognosis. Spatial characteristics of cell and tissues through staining images is essential for accurate grading of prostate cancer. Although...
Michael Squires,Peng Qiu
Michael Squires
In scRNA-seq analysis, cell clusters are typically defined by a single round of feature extraction and clustering. This approach may miss phenotypic differences in cell types that are characterized by genes not sufficiently represented in t...
On the Relation Between Linear Autoencoders and Non-Negative Matrix Factorization for Mutational Signature Extraction [0.03%]
关于线性自动编码器和非负矩阵分解在突变签名提取中的关系
Ida Egendal,Rasmus Froberg Brøndum,Marta Pelizzola et al.
Ida Egendal et al.
Since its introduction, non-negative matrix factorization (NMF) has been a popular tool for extracting interpretable, low-dimensional representations of high-dimensional data. However, several recent studies have proposed replacing NMF with...
Compressed Representation of Extreme Learning Machine with Self-Diffusion Graph Denoising Applied for Dissecting Molecular Heterogeneity [0.03%]
带有自扩散图去噪的极学习机的压缩表示在分子异质性分析中的应用
Xin Duan,Xinnan Ding,Yuelin Lu
Xin Duan
Molecular heterogeneity exists in many biological systems, such as major malignancies or diverse cell populations. Clustering of gene expression profiles has been widely used to dissect molecular heterogeneity. One drawback common to most c...
Rahul Nihalani,Jaroslaw Zola,Srinivas Aluru
Rahul Nihalani
Clustering is a popular technique used for analyzing amplicon sequencing data in metagenomics. Specifically, it is used to assign sequences (reads) to clusters, each cluster representing a species or a higher level taxonomic unit. Reads fro...
Sc-TUSV-Ext: Single-Cell Clonal Lineage Inference from Single Nucleotide Variants, Copy Number Alterations, and Structural Variants [0.03%]
Sc-TUSV-Ext: 从单核苷酸变异，拷贝数改变和结构变异推断单细胞克隆系谱关系
Nishat Anjum Bristy,Xuecong Fu,Russell Schwartz
Nishat Anjum Bristy
Clonal lineage inference ("tumor phylogenetics") has become a crucial tool for making sense of somatic evolution processes that underlie cancer development and are increasingly recognized as part of normal tissue growth and aging. The infer...
A New Structure Feature Introduced to Predict Protein-Protein Interaction Sites [0.03%]
一个新的结构特征被引入以预测蛋白质-蛋白质相互作用位点
Lingwei Lai,Jing Geng,Haochen Duan et al.
Lingwei Lai et al.
Interaction between proteins often depends on the sequence features and structure features of proteins. Both of these features are helpful for machine learning methods to predict (protein-protein interaction) PPI sites. In this study, we in...