Tree-Based Methods for Discovery of Association between Flow Cytometry Data and Clinical Endpoints [0.03%]
基于树的方法发现流式细胞术数据与临床终点之间的关联
M Eliot,L Azzoni,C Firnhaber et al.
M Eliot et al.
We demonstrate the application and comparative interpretations of three tree-based algorithms for the analysis of data arising from flow cytometry: classification and regression trees (CARTs), random forests (RFs), and logic regression (LR)...
Automatic clustering of flow cytometry data with density-based merging [0.03%]
基于密度的聚类合并流动细胞数据分析的自动聚类方法
Guenther Walther,Noah Zimmerman,Wayne Moore et al.
Guenther Walther et al.
The ability of flow cytometry to allow fast single cell interrogation of a large number of cells has made this technology ubiquitous and indispensable in the clinical and laboratory setting. A current limit to the potential of this technolo...
Firas Swidan,Ron Shamir
Firas Swidan
Comparing genomes is an essential preliminary step to solve many problems in biology. Matching long similar segments between two genomes is a precondition for their evolutionary, genetic, and genome rearrangement analyses. Though various co...
Ali Bashashati,Ryan R Brinkman
Ali Bashashati
Flow cytometry (FCM) is widely used in health research and in treatment for a variety of tasks, such as in the diagnosis and monitoring of leukemia and lymphoma patients, providing the counts of helper-T lymphocytes needed to monitor the co...
Fluorescence intensity normalisation: correcting for time effects in large-scale flow cytometric analysis [0.03%]
荧光强度标准化：在大规模流式细胞分析中纠正时间效应
Calliope A Dendrou,Erik Fung,Laura Esposito et al.
Calliope A Dendrou et al.
A next step to interpret the findings generated by genome-wide association studies is to associate molecular quantitative traits with disease-associated alleles. To this end, researchers are linking disease risk alleles with gene expression...
Merging mixture components for cell population identification in flow cytometry [0.03%]
流动细胞术中用于识别细胞种群的混合物合并法
Greg Finak,Ali Bashashati,Ryan Brinkman et al.
Greg Finak et al.
We present a framework for the identification of cell subpopulations in flow cytometry data based on merging mixture components using the flowClust methodology. We show that the cluster merging algorithm under our framework improves model f...
iFlow: A Graphical User Interface for Flow Cytometry Tools in Bioconductor [0.03%]
iFlow：生物信息学中流式细胞仪工具的图形用户界面
Kyongryun Lee,Florian Hahne,Deepayan Sarkar et al.
Kyongryun Lee et al.
Flow cytometry (FCM) has become an important analysis technology in health care and medical research, but the large volume of data produced by modern high-throughput experiments has presented significant new challenges for computational ana...
Gail Rosen,Elaine Garbarine,Diamantino Caseiro et al.
Gail Rosen et al.
A vast amount of microbial sequencing data is being generated through large-scale projects in ecology, agriculture, and human health. Efficient high-throughput methods are needed to analyze the mass amounts of metagenomic data, all DNA pres...
Genevestigator v3: a reference expression database for the meta-analysis of transcriptomes [0.03%]
基因调控调查家v3：一个用于转录组元分析的参考表达数据库
Tomas Hruz,Oliver Laule,Gabor Szabo et al.
Tomas Hruz et al.
The Web-based software tool Genevestigator provides powerful tools for biologists to explore gene expression across a wide variety of biological contexts. Its first releases, however, were limited by the scaling ability of the system archit...
Tumor Classification Using High-Order Gene Expression Profiles Based on Multilinear ICA [0.03%]
基于多线性ICA的高阶表达谱的肿瘤分类方法
Ming-Gang Du,Shan-Wen Zhang,Hong Wang
Ming-Gang Du
Motivation. Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training gene expression profiles (GEP) ensemble, but it cannot distinguish relations between the different fac...