Multicolor Flow Cytometry and High-Dimensional Data Analysis to Probe Complex Questions in Vaccinology

Mapping Intimacies ◽

10.1007/978-1-0716-1900-1_23 ◽

2021 ◽

pp. 433-447

Author(s):

Megan E. Cole ◽

Yanping Guo ◽

Hannah M. Cheeseman ◽

Katrina M. Pollock

Keyword(s):

Flow Cytometry ◽

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

Multicolor Flow Cytometry ◽

High Dimensional Data Analysis

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High‐Dimensional Data Analysis Algorithms Yield Comparable Results for Mass Cytometry and Spectral Flow Cytometry Data

Cytometry Part A ◽

10.1002/cyto.a.24016 ◽

2020 ◽

Vol 97 (8) ◽

pp. 824-831 ◽

Author(s):

Laura Ferrer‐Font ◽

Johannes U. Mayer ◽

Samuel Old ◽

Ian F. Hermans ◽

Jonathan Irish ◽

...

Keyword(s):

Flow Cytometry ◽

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

Spectral Flow ◽

Mass Cytometry ◽

Flow Cytometry Data ◽

High Dimensional Data Analysis

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Characterization of the tumor immune infiltrate by multiparametric flow cytometry and unbiased high-dimensional data analysis

Methods in Enzymology - Tumor Immunology and Immunotherapy – Cellular Methods Part B ◽

10.1016/bs.mie.2019.11.012 ◽

2020 ◽

pp. 309-337 ◽

Author(s):

Romina E. Araya ◽

Romina S. Goldszmid

Keyword(s):

Flow Cytometry ◽

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

Immune Infiltrate ◽

Multiparametric Flow Cytometry ◽

High Dimensional Data Analysis

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Large Sample Covariance Matrices and High-Dimensional Data Analysis

10.1017/cbo9781107588080 ◽

2015 ◽

Author(s):

Jianfeng Yao ◽

Shurong Zheng ◽

Zhidong Bai

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

Covariance Matrices ◽

High Dimensional ◽

Large Sample ◽

Sample Covariance Matrices ◽

Sample Covariance ◽

High Dimensional Data Analysis

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Improved Nonnegative Matrix Factorization Based Feature Selection for High Dimensional Data Analysis

Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) ◽

10.2991/iccsee.2013.583 ◽

2013 ◽

Author(s):

Lincheng Jiang ◽

Wentang Tan ◽

Zhenwen Wang ◽

Fengjing Yin ◽

Bin Ge ◽

...

Keyword(s):

Feature Selection ◽

Data Analysis ◽

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

High Dimensional Data ◽

Nonnegative Matrix ◽

High Dimensional ◽

High Dimensional Data Analysis ◽

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Machine Learning and High-Dimensional Data Analysis

Principles of Clinical Cancer Research ◽

10.1891/9781617052392.0017 ◽

2018 ◽

Author(s):

Sanjay Aneja ◽

James B. Yu

Keyword(s):

Machine Learning ◽

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

High Dimensional Data Analysis

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From Data to the Physics Using Ultrametrics: New Results in High Dimensional Data Analysis

10.1063/1.2193119 ◽

2006 ◽

Author(s):

Fionn Murtagh

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

High Dimensional Data Analysis

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Fast and Positive Definite Estimation of Large Covariance Matrix for High-Dimensional Data Analysis

IEEE Transactions on Big Data ◽

10.1109/tbdata.2019.2937785 ◽

2019 ◽

pp. 1-1 ◽

Author(s):

Fei Wen ◽

Lei Chu ◽

Rendong Ying ◽

Peilin Liu

Keyword(s):

Data Analysis ◽

Covariance Matrix ◽

High Dimensional Data ◽

Positive Definite ◽

High Dimensional ◽

High Dimensional Data Analysis

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Bitmap Indices for Speeding Up High-Dimensional Data Analysis

Lecture Notes in Computer Science - Database and Expert Systems Applications ◽

10.1007/3-540-46146-9_87 ◽

2002 ◽

pp. 881-890 ◽

Author(s):

Kurt Stockinger

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

High Dimensional Data Analysis

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High Dimensional Data Analysis: Integrating Submodels

Contributions to Statistics - Big and Complex Data Analysis ◽

10.1007/978-3-319-41573-4_14 ◽

2017 ◽

pp. 285-304 ◽

Author(s):

Syed Ejaz Ahmed ◽

Bahadır Yüzbaşı

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

High Dimensional Data Analysis

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Projected Clustering with LASSO for High Dimensional Data Analysis

Advances in Intelligent Systems and Computing - Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014 ◽

10.1007/978-3-319-11933-5_23 ◽

2015 ◽

pp. 201-209

Author(s):

Lidiya Narayanan ◽

Anoop S. Babu ◽

M. R. Kaimal

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

Projected Clustering ◽

High Dimensional Data Analysis

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