ATHENA: A knowledge-based hybrid backpropagation-grammatical evolution neural network algorithm for discovering epistasis among quantitative trait Loci [0.03%]
一种基于知识的混合算法在数量性状连锁位点中发现表型遗传互作效应精度较高
Stephen D Turner,Scott M Dudek,Marylyn D Ritchie
Stephen D Turner
Background: Growing interest and burgeoning technology for discovering genetic mechanisms that influence disease processes have ushered in a flood of genetic association studies over the last decade, yet little heritabili...
Stefan Enroth,Robin Andersson,Claes Wadelius et al.
Stefan Enroth et al.
Background: Massively parallel sequencing allows for genome-wide hypothesis-free investigation of for instance transcription factor binding sites or histone modifications. Although nucleotide resolution detailed informati...
Applications and methods utilizing the Simple Semantic Web Architecture and Protocol (SSWAP) for bioinformatics resource discovery and disparate data and service integration [0.03%]
利用简化语义网络架构和协议（SSWAP）进行生物信息资源发现及异构数据与服务集成的方法和应用
Rex T Nelson,Shulamit Avraham,Randy C Shoemaker et al.
Rex T Nelson et al.
Background: Scientific data integration and computational service discovery are challenges for the bioinformatic community. This process is made more difficult by the separate and independent construction of biological da...
Large scale analysis of positional effects of single-base mismatches on microarray gene expression data [0.03%]
单碱基错配在微阵列基因表达数据中的位置效应的规模分析
Fenghai Duan,Mark A Pauley,Eliot R Spindel et al.
Fenghai Duan et al.
Background: Affymetrix GeneChips utilize 25-mer oligonucleotides probes linked to a silica surface to detect targets in solution. Mismatches due to single nucleotide polymorphisms (SNPs) can affect the hybridization betwe...
Georgios A Pavlopoulos,Theodoros G Soldatos,Adriano Barbosa-Silva et al.
Georgios A Pavlopoulos et al.
The quantities of data obtained by the new high-throughput technologies, such as microarrays or ChIP-Chip arrays, and the large-scale OMICS-approaches, such as genomics, proteomics and transcriptomics, are becoming vast. Sequencing technolo...
A biclustering algorithm based on a bicluster enumeration tree: application to DNA microarray data [0.03%]
基于双聚类枚举树的双聚类算法及其在DNA微阵列数据分析中的应用研究
Wassim Ayadi,Mourad Elloumi,Jin-Kao Hao
Wassim Ayadi
Background: In a number of domains, like in DNA microarray data analysis, we need to cluster simultaneously rows (genes) and columns (conditions) of a data matrix to identify groups of rows coherent with groups of columns...
3PFDB--a database of best representative PSSM profiles (BRPs) of protein families generated using a novel data mining approach [0.03%]
3PFDB—一个利用新数据挖掘方法生成的蛋白质家族最佳代表性PSSM模式(BRPs)数据库
Khader Shameer,Paramasivam Nagarajan,Kumar Gaurav et al.
Khader Shameer et al.
Background: Protein families could be related to each other at broad levels that group them as superfamilies. These relationships are harder to detect at the sequence level due to high evolutionary divergence. Sequence se...
LD-spline: mapping SNPs on genotyping platforms to genomic regions using patterns of linkage disequilibrium [0.03%]
基于连锁不平衡模式将基因分型平台上的SNP映射到基因组区域的新方法(LD-样条)
William S Bush,Guanhua Chen,Eric S Torstenson et al.
William S Bush et al.
Background: Gene-centric analysis tools for genome-wide association study data are being developed both to annotate single locus statistics and to prioritize or group single nucleotide polymorphisms (SNPs) prior to analys...
Extraction of pure components from overlapped signals in gas chromatography-mass spectrometry (GC-MS) [0.03%]
基于气相色谱-质谱(GC-MS)数据纯组分的提取方法研究
Vladimir A Likić
Vladimir A Likić
Gas chromatography-mass spectrometry (GC-MS) is a widely used analytical technique for the identification and quantification of trace chemicals in complex mixtures. When complex samples are analyzed by GC-MS it is common to observe co-eluti...
Spatially uniform relieff (SURF) for computationally-efficient filtering of gene-gene interactions [0.03%]
用于基因-基因相互作用计算过滤的空域Relief（SURF）算法
Casey S Greene,Nadia M Penrod,Jeff Kiralis et al.
Casey S Greene et al.
Background: Genome-wide association studies are becoming the de facto standard in the genetic analysis of common human diseases. Given the complexity and robustness of biological networks such diseases are unlikely to be ...