PDGNet: Predicting Disease Genes Using a Deep Neural Network With Multi-View Features [0.03%]
PDGNet：使用多视角特征的深度神经网络预测疾病基因
Kuo Yang,Yi Zheng,Kezhi Lu et al.
Kuo Yang et al.
The knowledge of phenotype-genotype associations is crucial for the understanding of disease mechanisms. Numerous studies have focused on developing efficient and accurate computing approaches to predict disease genes. However, owing to the...
Epilepsy Signal Recognition Using Online Transfer TSK Fuzzy Classifier Underlying Classification Error and Joint Distribution Consensus Regularization [0.03%]
基于分类误差和联合分布一致性的在线迁移TSK模糊分类器的癫痫信号识别
Yuanpeng Zhang,Ziyuan Zhou,Wenjie Pan et al.
Yuanpeng Zhang et al.
In this study, an online transfer TSK fuzzy classifier O-T-TSK-FC is proposed for recognizing epilepsy signals. Compared with most of the existing transfer learning models, O-T-TSK-FC enjoys its merits from the following three aspects: 1) S...
DeepOlf: Deep Neural Network Based Architecture for Predicting Odorants and Their Interacting Olfactory Receptors [0.03%]
DeepOlf：用于预测嗅觉受体及其相互作用的嗅剂的深度神经网络结构
Anju Sharma,Rajnish Kumar,Rahul Semwal et al.
Anju Sharma et al.
Olfaction transduction mechanism is triggered by the binding of odorants to the specific olfactory receptors (OR's) present in the nasal cavity. Different odorants stimulate different OR's due to the difference in shape, physical and chemic...
De novo Protein Structure Prediction by Coupling Contact With Distance Profile [0.03%]
通过结合接触与距离谱来预测蛋白质结构的方法研究
Chun-Xiang Peng,Xiao-Gen Zhou,Gui-Jun Zhang
Chun-Xiang Peng
De novo protein structure prediction is a challenging problem that requires both an accurate energy function and an efficient conformation sampling method. In this study, a de novo structure prediction method, named CoDiFold, is proposed. I...
GenSeg and MR-GenSeg: A Novel Segmentation Algorithm and its Parallel MapReduce Based Approach for Identifying Genomic Regions With Copy Number Variations [0.03%]
GenSeg以及MR-GenSeg：一种新颖的分割算法及其并行MapReduce方法，用于识别具有拷贝数变异的基因组区域
Rituparna Sinha,Rajat K Pal,Rajat K De
Rituparna Sinha
Identifying intragenic as well as intergenic sequences of the DNA, having structural alterations, is a significantly important research area, since this may be the root cause of many neurological and autoimmune diseases, including cancer. W...
A Heterogeneous Information Network Model for Long Non-Coding RNA Function Prediction [0.03%]
用于长非编码RNA功能预测的异质信息网络模型
Sunil Kumar P V,Adheeba Thahsin,Manju M et al.
Sunil Kumar P V et al.
Exciting information on the functional roles played by long non-coding RNA (lncRNA) has drawn substantial research attention these days. With the advent of techniques such as RNA-Seq, thousands of lncRNAs are identified in very short time s...
Compressed Sparse FM-Index: Fast Sequence Alignment Using Large K-Steps [0.03%]
压缩稀疏FM-索引：使用大K步进行快速序列比对
Ruben Langarita,Adria Armejach,Javier Setoain et al.
Ruben Langarita et al.
The FM-index is a data structure used in genomics for exact search of input sequences over large reference genomes. Algorithms based on the FM-index show an irregular memory access pattern, resulting in a memory bound problem. We analyze a ...
AMP0: Species-Specific Prediction of Anti-microbial Peptides Using Zero and Few Shot Learning [0.03%]
AMP0：使用零样本学习和少样本学习进行抗菌肽的种属特异性预测
Sadaf Gull,Fayyaz Minhas
Sadaf Gull
Evolution of drug-resistant microbial species is one of the major challenges to global health. Development of new antimicrobial treatments such as antimicrobial peptides needs to be accelerated to combat this threat. However, the discovery ...
Group Sparse Joint Non-Negative Matrix Factorization on Orthogonal Subspace for Multi-Modal Imaging Genetics Data Analysis [0.03%]
正交子空间上的组稀疏联合非负矩阵分解在多模态影像基因数据分析中的应用
Peng Peng,Yipu Zhang,Yongfeng Ju et al.
Peng Peng et al.
With the development of multi-model neuroimaging technology and gene detection technology, the efforts of integrating multi-model imaging genetics data to explore the virulence factors of schizophrenia (SZ) are still limited. To address thi...
Rahul Semwal,Imlimaong Aier,Utkarsh Raj et al.
Rahul Semwal et al.
Motifs are the evolutionarily conserved patterns which are reported to serve the crucial structural and functional role. Identification of motif patterns in a set of protein sequences has been a prime concern for researchers in computationa...