Molecular phylogeny analysis using correlation distance and spectral distance [0.03%]
基于相关距离和谱系距离的分子系统发生树分析方法研究
R Anu Sabarish,Tessamma Thomas
R Anu Sabarish
A wide range of methods with or without sequence alignment have been used to study molecular phylogeny for information on the evolution of species. Two approaches to construct the phylogenetic tree using (a) direct correlation of protein se...
Margin-maximised redundancy-minimised SVM-RFE for diagnostic classification of mammograms [0.03%]
基于边际最大化和冗余最小化的SVM-RFE乳腺X线片诊断分类方法
Saejoon Kim
Saejoon Kim
Classification techniques function as a main component in digital mammography for breast cancer treatment. While many classification techniques currently exist, recent developments in the derivatives of Support Vector Machines (SVM) with fe...
Mining gene-centric relationships from literature: the roles of gene mutation and gene expression in supporting drug discovery [0.03%]
从文献中挖掘以基因为中心的关系：基因突变和基因表达在支持药物发现中的作用
Luis Tari,Jagruti Patel,Jan Küntzer et al.
Luis Tari et al.
Identifying drug target candidates is an important task for early development throughout the drug discovery process. This process is supported by the development of new high-throughput technologies that enable better understanding of diseas...
The linked human imprintome v1.0: over 120 genes confirmed as imprinted impose a major review on previous censuses [0.03%]
人类印记基因组v1.0建立及文献回顾：超过120个印记基因的新列表
Samara Cardoso Da Silva-Santiago,Christina Pacheco,Tereza Cristina Lima Rocha et al.
Samara Cardoso Da Silva-Santiago et al.
The whole set of human imprinted genes, termed imprintome, is here analysed by means of a reasonable, valid application of the Semantic Web and Linked Data approaches to a few structured datasets in order to provide a comprehensive collecti...
Kalpana Raja,Suresh Subramani,Jeyakumar Natarajan
Kalpana Raja
The predominant step and pre-requisite in the analysis of scientific literature is the extraction of gene/protein names in biomedical texts. Though many taggers are available for this Named Entity Recognition (NER) task, we found none of th...
Automatic quantitative analysis and localisation of protein expression with GDF [0.03%]
基于GDF的蛋白质表达定量分析及定位方法
Shuliang Wang,Ying Li,Wenchen Tu et al.
Shuliang Wang et al.
When detecting the difference of protein expression between normal and cancerous tissues, the shape measurement of protein mostly depends on semi-automatic analysis of image software, which makes the results vulnerable to subjective factors...
Genome-wide nucleosome detection based on the dinucleotide position frequencies [0.03%]
基于二核苷酸位置频率的全基因组单核小体识别模型
Xing Huang,Jiajun Wang,Hong Yan
Xing Huang
It has been discovered that the properties of nucleosome-bound and linker DNA sequences have important effects on nucleosome positioning. On the other hand, the position frequencies of the nucleosome-bound and linker DNA reveal most of thei...
Identification of phage-induced genomic islands in the 13 Streptococcus pyogenes strains using genome barcodes [0.03%]
利用基因组条形码在13个链球菌咽峡炎中鉴定噬菌体诱导的基因组岛屿
Chunbao Zhou,Jiaxin Wang,Yao Wang et al.
Chunbao Zhou et al.
With the revolutionary invention of the high-throughput sequencing technique, the production of bacterial genomes is significantly sped up. The in silico characterisation of genomic islands (GIs) in the pathogenic bacterium becomes increasi...
Improving named entity recognition accuracy for gene and protein in biomedical text literature [0.03%]
提高生物医学文献中基因和蛋白质命名实体识别的精度
Hossein Tohidi,Hamidah Ibrahim,Masrah Azrifah Azmi Murad
Hossein Tohidi
The task of recognising biomedical named entities in natural language documents called biomedical Named Entity Recognition (NER) is the focus of many researchers due to complex nature of such texts. This complexity includes the issues of ch...
A hybrid of bees algorithm and flux balance analysis (BAFBA) for the optimisation of microbial strains [0.03%]
基于蜜蜂算法和通量平衡分析的杂化算法（BAFBA）优化微生物菌株
Yee Wen Choon,Mohd Saberi Mohamad,Safaai Deris et al.
Yee Wen Choon et al.
The development of microbial production system has become popular in recent years as microbial hosts offer a number of unique advantages for both native and heterologous small-molecules. However, the main drawback is low yield or productivi...