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High-Dimensional Single Cell Analysis

2014-04-22 Medical
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Release : 2014-04-22
Genre : Medical
Kind : eBook
Book Rating : 27X/5 ( reviews)

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Book Synopsis High-Dimensional Single Cell Analysis by : Harris G. Fienberg

Download or read book High-Dimensional Single Cell Analysis written by Harris G. Fienberg. This book was released on 2014-04-22. Available in PDF, EPUB and Kindle. Book excerpt: This volume highlights the most interesting biomedical and clinical applications of high-dimensional flow and mass cytometry. It reviews current practical approaches used to perform high-dimensional experiments and addresses key bioinformatic techniques for the analysis of data sets involving dozens of parameters in millions of single cells. Topics include single cell cancer biology; studies of the human immunome; exploration of immunological cell types such as CD8+ T cells; decipherment of signaling processes of cancer; mass-tag cellular barcoding; analysis of protein interactions by proximity ligation assays; Cytobank, a platform for the analysis of cytometry data; computational analysis of high-dimensional flow cytometric data; computational deconvolution approaches for the description of intracellular signaling dynamics and hyperspectral cytometry. All 10 chapters of this book have been written by respected experts in their fields. It is an invaluable reference book for both basic and clinical researchers.

Learning Cell States from High-dimensional Single-cell Data

2016
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Release : 2016
Genre :
Kind : eBook
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Book Synopsis Learning Cell States from High-dimensional Single-cell Data by :

Download or read book Learning Cell States from High-dimensional Single-cell Data written by . This book was released on 2016. Available in PDF, EPUB and Kindle. Book excerpt: Recent developments in single-cell measurement technologies have yielded dramatic increases in throughput (measured cells per experiment) and dimensionality (measured features per cell). In particular, the introduction of mass cytometry has made possible the simultaneous quantification of dozens of protein species in millions of individual cells in a single experiment. The raw data produced by such high-dimensional single-cell measurements provide unprecedented potential to reveal the phenotypic heterogeneity of cellular systems. In order to realize this potential, novel computational techniques are required to extract knowledge from these complex data. Analysis of single-cell data is a new challenge for computational biology, as early development in the field was tailored to technologies that sacrifice single-cell resolution, such as DNA microarrays. The challenges for single-cell data are quite distinct and require multidimensional modeling of complex population structure. Particular challenges include nonlinear relationships between measured features and non-convex subpopulations.

Single Cell Sequencing and Systems Immunology

2015-03-27 Medical
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Release : 2015-03-27
Genre : Medical
Kind : eBook
Book Rating : 536/5 ( reviews)

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Book Synopsis Single Cell Sequencing and Systems Immunology by : Xiangdong Wang

Download or read book Single Cell Sequencing and Systems Immunology written by Xiangdong Wang. This book was released on 2015-03-27. Available in PDF, EPUB and Kindle. Book excerpt: The volume focuses on the genomics, proteomics, metabolomics, and bioinformatics of a single cell, especially lymphocytes and on understanding the molecular mechanisms of systems immunology. Based on the author’s personal experience, it provides revealing insights into the potential applications, significance, workflow, comparison, future perspectives and challenges of single-cell sequencing for identifying and developing disease-specific biomarkers in order to understand the biological function, activation and dysfunction of single cells and lymphocytes and to explore their functional roles and responses to therapies. It also provides detailed information on individual subgroups of lymphocytes, including cell characters, function, surface markers, receptor function, intracellular signals and pathways, production of inflammatory mediators, nuclear receptors and factors, omics, sequencing, disease-specific biomarkers, bioinformatics, networks and dynamic networks, their role in disease and future prospects. Dr. Xiangdong Wang is a Professor of Medicine, Director of Shanghai Institute of Clinical Bioinformatics, Director of Fudan University Center for Clinical Bioinformatics, Director of the Biomedical Research Center of Zhongshan Hospital, Deputy Director of Shanghai Respiratory Research Institute, Shanghai, China.

Analysis and Control of Cellular Ensembles. Exploiting dimensionality reduction in single-cell data and models

2020-11-20 Language Arts & Disciplines
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Release : 2020-11-20
Genre : Language Arts & Disciplines
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Book Rating : 09X/5 ( reviews)

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Book Synopsis Analysis and Control of Cellular Ensembles. Exploiting dimensionality reduction in single-cell data and models by : Karsten Kuritz

Download or read book Analysis and Control of Cellular Ensembles. Exploiting dimensionality reduction in single-cell data and models written by Karsten Kuritz. This book was released on 2020-11-20. Available in PDF, EPUB and Kindle. Book excerpt: An ensemble system is a collection of nearly identical dynamical systems which admit a certain degree of heterogeneity, and which are subject to the restriction that they may only be manipulated or observed as a whole. This thesis presents analysis and control methods for cellular ensembles by considering reduced 1-dimensional dynamics of biological processes in high-dimensional single-cell data and models. To be more specific, we address the quest for real-time analysis of biological processes within single-cell data by introducing the measure-preserving map of pseudotime into real-time, in short MAPiT. MAPiT enables the reconstruction of temporal and spatial dynamics from single-cell snapshot experiments. In addition, we propose a PDE-constrained learning algorithm which allows for efficient inference of changes in cell cycle progression from time series single-cell snapshot data. The second part of this thesis, is devoted to controlling a heterogeneous cell population, in the sense, that we aim at achieving a desired distribution of cellular oscillators on their periodic orbit. A systems theoretic approach to the ensemble control problem provides novel necessary and sufficient conditions for the control of phase distributions in terms of the Fourier coefficients of the phase response curve. This thesis establishes a connection between the previously separate areas of single cell analysis and ensemble control. Our holistic view opens new perspectives for theoretic concepts in basic research and therapeutic strategies in precision medicine.

Kernel Methods for Pattern Analysis

2004-06-28 Computers
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Release : 2004-06-28
Genre : Computers
Kind : eBook
Book Rating : 976/5 ( reviews)

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Book Synopsis Kernel Methods for Pattern Analysis by : John Shawe-Taylor

Download or read book Kernel Methods for Pattern Analysis written by John Shawe-Taylor. This book was released on 2004-06-28. Available in PDF, EPUB and Kindle. Book excerpt: Publisher Description

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