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检索条件"机构=Bioinformatics and Applied Statistics"
131 条 记 录,以下是21-30 订阅
排序:
A GENERAL MODEL-CHECKING PROCEDURE FOR SEMIPARAMETRIC ACCELERATED FAILURE TIME MODELS
arXiv
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arXiv 2023年
作者: Choi, Dongrak Bae, Woojung Yan, Jun Kang, Sangwook Department of Biostatistics and Bioinformatics Duke University DurhamNC United States Department of Statistics University of Florida GainesvilleFL United States Department of Statistics University of Connecticut StorrsCT United States Department of Applied Statistics Department of Statistics and Data Science Yonsei University Seoul Korea Republic of
We propose a set of goodness-of-fit tests for the semiparametric accelerated failure time (AFT) model, including an omnibus test, a link function test, and a functional form test. This set of tests is derived from a m... 详细信息
来源: 评论
Automated selection of reliable 16S rRNA gene sequence for phylogenetic tree construction
Automated selection of reliable 16S rRNA gene sequence for p...
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The 13th International Conference on Culture Collections(ICCC 13)第13届国际菌种保藏大会
作者: Wim De Smet Paul De Vos Peter Dawyndt Bernard De Baets Department of Applied Mathematics Computer Science and StatisticsGhent UniversityBelgium BCCM/LMG bacteria collection Laboratory of MicrobiologyGhent University(LM-UGent) Belgium Department of Mathematical ModellingStatistics and BioinformaticsGhent University Gent Belgium
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REFINING THE DRIFT BARRIER HYPOTHESIS: A ROLE OF RECESSIVE GENE COUNT AND AN INHOMOGENEOUS MULLER‘S RATCHET
arXiv
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arXiv 2024年
作者: La Rocca, Luis A. Gerischer, Konrad Bovier, Anton Krawitz, Peter M. Institut for Applied Mathematics University of Bonn Endenicher Allee 60 Bonn53115 Germany Institute for Genomic Statistics and Bioinformatics University of Bonn Venusberg-Campus 1 Bonn53127 Germany
The drift-barrier hypothesis states that random genetic drift constrains the refinement of a phenotype under natural selection. The influence of effective population size and the genome-wide deleterious mutation rate ... 详细信息
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Graduate Education in statistics and Data Science: The Why, When, Where, Who, and What
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statistics and Its Application 1000年 第1期8卷 25-39页
作者: Marc Aerts Geert Molenberghs Olivier Thas 1Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BioStat) Hasselt University BE3590 Hasselt Belgium email: marc.aerts@uhasselt.be 2Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BioStat) KU Leuven 3000 Leuven Belgium 4Department of Applied Mathematics Computer Science and Statistics Ghent University 9000 Ghent Belgium 3National Institute for Applied Statistics Research Australia (NIASRA) University of Wollongong Keiraville New South Wales 2500 Australia
Organizing a graduate program in statistics and data science raises many questions, offering a variety of opportunities while presenting a multitude of choices. The call for graduate programs in statistics and data sc...
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Parsimonious reconstruction of network evolution
Parsimonious reconstruction of network evolution
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Lecture Notes in Computer Science
作者: Patro, Rob Sefer, Emre Malin, Justin Marçais, Guillaume Navlakha, Saket Kingsford, Carl Center for Bioinformatics and Computational Biology University of Maryland College Park MD 20742 United States Department of Computer Science University of Maryland College Park MD 20742 United States Computational Biology Bioinformatics and Genomics Concentration Biological Sciences Graduate Program University of Maryland College Park MD 20742 United States Program in Applied Mathematics Statistics and Scientific Computation University of Maryland College Park MD 20742 United States School of Computer Science Carnegie Mellon University Pittsburgh PA 15213 United States
We consider the problem of reconstructing a maximally parsimonious history of network evolution under models that support gene duplication and loss and independent interaction gain and loss. We introduce a combinatori... 详细信息
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A Flow Artist for High-Dimensional Cellular Data  33
A Flow Artist for High-Dimensional Cellular Data
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33rd IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2023
作者: MacDonald, Kincaid Bhaskar, Dhananjay Thampakkul, Guy Nguyen, Nhi Zhang, Joia Perlmutter, Michael Adelstein, Ian Krishnaswamy, Smita Yale University Department of Mathematics United States Pomona College Department of Mathematics United States University of Washington Department of Statistics United States Boise State University Department of Mathematics United States Yale University Department of Computer Science United States Yale University Applied Mathematics Program United States Yale University Computational Biology and Bioinformatics Program United States
We consider the problem of embedding point cloud data sampled from an underlying manifold with an associated flow or velocity. Such data arises in many contexts where static snapshots of dynamic entities are measured,... 详细信息
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Biconic semi-copulas with a given section
Biconic semi-copulas with a given section
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8th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2013
作者: Jwaid, Tarad Baets, Bernard De Meyer, Hans De Mesiar, Radko Dept. of Mathematical Modelling Statistics and Bioinformatics Ghent University Coupure 653 B-9000 Gent Belgium Dept. of Applied Mathematics Computer Science Ghent University Krijgslaan 281 S9 B-9000 Gent Belgium Dep. of Mathematics and Descriptive Geometry Slovak University of Technology Radlinského 11 813 68 Bratislava Slovakia
Inspired by the notion of biconic semi-copulas, we introduce biconic semi-copulas with a given section. Such semi-copulas are constructed by linear interpolation on segments connecting the graph of a continuous and de... 详细信息
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Two-way interaction analysis of obesity trait from Korean population using generalized MDR
Two-way interaction analysis of obesity trait from Korean po...
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IEEE International Conference on bioinformatics and Biomedicine Workshops (BIBMW)
作者: Sungyoung Lee Sohee Oh Min-Seok Kwon Seungyeoun Lee Taesung Park Interdisciplinary Program in Bioinformatics Seoul National University Seoul South Korea Department of Statistics Seoul National University Seoul South Korea Department of Applied Mathematics Sejong University Seoul South Korea
Most common complex traits such as obesity, hypertension, diabetes, and cancers are known to be associated with multiple genes, environmental factors, and epistasis. Recently, the development of advanced genotyping te... 详细信息
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ON ESTIMATION OF OPTIMAL DYNAMIC TREATMENT REGIMES WITH MULTIPLE TREATMENTS FOR SURVIVAL DATA-WITH APPLICATION TO COLORECTAL CANCER STUDY
arXiv
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arXiv 2023年
作者: Liu, Zhishuai Zhan, Zishu Liu, Jian Yi, Danhui Lin, Cunjie Yang, Yufei Department of Biostatistics & Bioinformatics Duke University United States Department of Biostatistics School of Public Health Southern Medical University China School of Statistics Renmin University of China China Center for Applied Statistics School of Statistics Renmin University of China China Xiyuan Clinical Medical College Beijing University of Chinese Medicine China
Dynamic treatment regimes (DTR) are sequential decision rules corresponding to several stages of intervention. Each rule maps patients’ covariates to optional treatments. The optimal dynamic treatment regime is the o... 详细信息
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On the causes of outliers in Affymetrix GeneChip data
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Briefings in Functional Genomics and Proteomics 2009年 第3期8卷 199-212页
作者: Upton, Graham J.G. Sanchez-Graillet, Olivia Rowsell, Joanna Arteaga-Salas, Jose M. Graham, Neil S. Stalteri, Maria A. Memon, Farhat N. May, Sean T. Harrison, Andrew P. Departmet of Applied Statistics University of Essex Colchester Essex CO4 3SQ United Kingdom Departmet of Integrative Bioinformatics University of Essex Colchester Essex CO4 3SQ Wivenhoe Park United Kingdom University of Essex Colchester Essex CO4 3SQ Wivenhoe Park United Kingdom Department of Bioinformatics Nottingham Arabidopsis Stock Centre Nottingham United Kingdom Departmet of Bioinformatics University of Essex Colchester Essex CO4 3SQ Wivenhoe Park United Kingdom Nottingham Arabidopsis Stock Centre School of Biosciences University of Nottingham Nottingham United Kingdom Department of Mathematical Sciences Department of Biological Sciences University of Essex Colchester Essex CO4 3SQ Wivenhoe Park United Kingdom
We describe various types of outliers seen in Affymetrix GeneChip data. We have been able to utilise the data in the Gene Expression Omnibus to screen GeneChips across a range of scales, from single probes, to spatial... 详细信息
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