Meta-regression of gene-environment interaction in genome-wide association studies [0.03%]
基因环境相互作用在全基因组关联研究中的元回归分析
Xiaoxiao Xu,Gang Shi,Arye Nehorai
Xiaoxiao Xu
Genome-wide association studies (GWAS) have created heightened interest in understanding the effects of gene-environment interaction on complex human diseases or traits. Applying methods for analyzing such interaction can help uncover novel...
Multiobjective binary biogeography based optimization for feature selection using gene expression data [0.03%]
基于基因表达数据的特征选择的多目标二进制生物地理学优化算法研究
Xiangtao Li,Minghao Yin
Xiangtao Li
Gene expression data play an important role in the development of efficient cancer diagnoses and classification. However, gene expression data are usually redundant and noisy, and only a subset of them present distinct profiles for differen...
Noreen Sher Akbar
Noreen Sher Akbar
This article deals with the influence of heat transfer and nanofluid on the peristaltic flow of a third order fluid. Numerical solutions are evaluated for temperature, nanofluid phenomenon, streamlines and pressure rise. Graphical illustrat...
ProMT: effective human promoter prediction using Markov chain model based on DNA structural properties [0.03%]
基于DNA结构属性的马尔可夫模型的有效人类启动子预测(ProMT)
Dapeng Xiong,Rongjie Liu,Fen Xiao et al.
Dapeng Xiong et al.
The core promoters play significant and extensive roles for the initiation and regulation of DNA transcription. The identification of core promoters is one of the most challenging problems yet. Due to the diverse nature of core promoters, t...
Fuzzy preference based feature selection and semisupervised SVM for cancer classification [0.03%]
基于模糊偏好的特征选择和半监督SVM在癌症分类中的应用研究
Ujjwal Maulik,Debasis Chakraborty
Ujjwal Maulik
DNA microarray data now permit scientists to screen thousand of genes simultaneously and determine whether those genes are active or silent in normal and cancerous tissues. With the advancement of microarray technology, new analytical metho...
Huiru Zheng,Haiying Wang,Hua Xu et al.
Huiru Zheng et al.
There is growing interest in investigating the biochemical pathways involved in cellular responses to drugs. Here we propose new methods to explore the relationships between drugs, biochemical pathways and adverse drug reactions (ADRs) at a...
Genealogical-based method for multiple ontology self-extension in MeSH [0.03%]
基于词表亲缘关系的MeSH多本体自我扩展方法研究
Yu-Wen Guo,Yi-Tsung Tang,Hung-Yu Kao
Yu-Wen Guo
During the last decade, the advent of Ontologies used for biomedical annotation has had a deep impact on life science. MeSH is a well-known Ontology for the purpose of indexing journal articles in PubMed, improving literature searching on m...
Dimension reduction for p53 protein recognition by using incremental partial least squares [0.03%]
基于增量偏最小二乘的p53蛋白序列降维方法研究
Xue-Qiang Zeng,Guo-Zheng Li
Xue-Qiang Zeng
As an important tumor suppressor protein, reactivating mutated p53 was found in many kinds of human cancers and that restoring active p53 would lead to tumor regression. In recent years, more and more data extracted from biophysical simulat...
Direct label-free electrical immunodetection of transplant rejection protein biomarker in physiological buffer using floating gate AlGaN/GaN high electron mobility transistors [0.03%]
生理缓冲液中移植排斥蛋白生物标志物的直接无标记免疫检测——使用浮动栅AlGaN/GaN高电子迁移率晶体管
Fahmida S Tulip,Edward Eteshola,Suchita Desai et al.
Fahmida S Tulip et al.
Monokine induced by interferon gamma (MIG/CXCL9) is used as an immune biomarker for early monitoring of transplant or allograft rejection. This paper demonstrates a direct electrical, label-free detection method of recombinant human MIG wit...
A novel protein complex identification algorithm based on Connected Affinity Clique Extension (CACE) [0.03%]
基于连接亲和力团扩展(CACE)的新型蛋白质复合物识别算法
Peng Li,Tingting He,Xiaohua Hu et al.
Peng Li et al.
A novel algorithm based on Connected Affinity Clique Extension (CACE) for mining overlapping functional modules in protein interaction network is proposed in this paper. In this approach, the value of protein connected affinity which is inf...