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Analysis Of Single Cell Data


Analysis Of Single Cell Data
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Computational Methods For Single Cell Data Analysis


Computational Methods For Single Cell Data Analysis
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Author : Guo-Cheng Yuan
language : en
Publisher: Humana Press
Release Date : 2019-02-14

Computational Methods For Single Cell Data Analysis written by Guo-Cheng Yuan and has been published by Humana Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-14 with Science categories.


This detailed book provides state-of-art computational approaches to further explore the exciting opportunities presented by single-cell technologies. Chapters each detail a computational toolbox aimed to overcome a specific challenge in single-cell analysis, such as data normalization, rare cell-type identification, and spatial transcriptomics analysis, all with a focus on hands-on implementation of computational methods for analyzing experimental data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Methods for Single-Cell Data Analysis aims to cover a wide range of tasks and serves as a vital handbook for single-cell data analysis.



Analysis Of Single Cell Data


Analysis Of Single Cell Data
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Author : Carolin Loos
language : en
Publisher: Springer
Release Date : 2016-03-17

Analysis Of Single Cell Data written by Carolin Loos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-17 with Mathematics categories.


Carolin Loos introduces two novel approaches for the analysis of single-cell data. Both approaches can be used to study cellular heterogeneity and therefore advance a holistic understanding of biological processes. The first method, ODE constrained mixture modeling, enables the identification of subpopulation structures and sources of variability in single-cell snapshot data. The second method estimates parameters of single-cell time-lapse data using approximate Bayesian computation and is able to exploit the temporal cross-correlation of the data as well as lineage information.



Single Cell Omics


Single Cell Omics
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Author : Debmalya Barh
language : en
Publisher: Academic Press
Release Date : 2019-06-06

Single Cell Omics written by Debmalya Barh and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-06 with Medical categories.


Single-Cell Omics: Volume 1: Technological Advances and Applications provides the latest technological developments and applications of single-cell technologies in the field of biomedicine. In the current era of precision medicine, the single-cell omics technology is highly promising due to its potential in diagnosis, prognosis and therapeutics. Sections in the book cover single-cell omics research and applications, diverse technologies applied in the topic, such as pangenomics, metabolomics, and multi-omics of single cells, data analysis, and several applications of single-cell omics within the biomedical field, for example in cancer, metabolic and neuro diseases, immunology, pharmacogenomics, personalized medicine and reproductive health. This book is a valuable source for bioinformaticians, molecular diagnostic researchers, clinicians and members of the biomedical field who are interested in understanding more about single-cell omics and its potential for research and diagnosis. - Covers not only the technological aspects, but also the diverse applications of single cell omics in the biomedical field - Summarizes the latest progress in single cell omics and discusses potential future developments for research and diagnosis - Written by experts across the world, bringing different points-of-view and case studies to give a comprehensive overview on the topic



Bioinformatics Analysis Of Single Cell Sequencing Data And Applications In Precision Medicine


Bioinformatics Analysis Of Single Cell Sequencing Data And Applications In Precision Medicine
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Author : Jialiang Yang
language : en
Publisher: Frontiers Media SA
Release Date : 2020-02-27

Bioinformatics Analysis Of Single Cell Sequencing Data And Applications In Precision Medicine written by Jialiang Yang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-27 with categories.




Single Cell Protein Analysis


Single Cell Protein Analysis
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Author : Anup K. Singh
language : en
Publisher: Humana
Release Date : 2015-11-07

Single Cell Protein Analysis written by Anup K. Singh and has been published by Humana this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-07 with Science categories.


This volume highlights recent developments in flow cytometry, affinity assays, imaging, mass spectrometry, microfluidics and other technologies that enable analysis of proteins at the single cell level. The book also includes chapters covering a suite of biochemical and biophysical methods capable of making an entire gamut of proteomic measurements, including analysis of protein abundance or expression, protein interaction networks, post-translational modifications, translocation and enzymatic activity. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols and tips on troubleshooting and avoiding known pitfalls. Authoritative and thorough, Single Cell Protein Analysis: Methods and Protocols is useful to researchers and students in biological and biomedical sciences who have an interest in proteomic measurements in cells.



Machine Learning In Single Cell Rna Seq Data Analysis


Machine Learning In Single Cell Rna Seq Data Analysis
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Author : Khalid Raza
language : en
Publisher: Springer Nature
Release Date : 2024-09-02

Machine Learning In Single Cell Rna Seq Data Analysis written by Khalid Raza and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-02 with Computers categories.


This book provides a concise guide tailored for researchers, bioinformaticians, and enthusiasts eager to unravel the mysteries hidden within single-cell RNA sequencing (scRNA-seq) data using cutting-edge machine learning techniques. The advent of scRNA-seq technology has revolutionized our understanding of cellular diversity and function, offering unprecedented insights into the intricate tapestry of gene expression at the single-cell level. However, the deluge of data generated by these experiments presents a formidable challenge, demanding advanced analytical tools, methodologies, and skills for meaningful interpretation. This book bridges the gap between traditional bioinformatics and the evolving landscape of machine learning. Authored by seasoned experts at the intersection of genomics and artificial intelligence, this book serves as a roadmap for leveraging machine learning algorithms to extract meaningful patterns and uncover hidden biological insights within scRNA-seq datasets.



Integrative Analysis Of Single Cell And Or Bulk Multi Omics Sequencing Data


Integrative Analysis Of Single Cell And Or Bulk Multi Omics Sequencing Data
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Author : Geng Chen
language : en
Publisher: Frontiers Media SA
Release Date : 2023-03-13

Integrative Analysis Of Single Cell And Or Bulk Multi Omics Sequencing Data written by Geng Chen and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-13 with Science categories.




Multimodal And Integrative Analysis Of Single Cell Or Bulk Sequencing Data


Multimodal And Integrative Analysis Of Single Cell Or Bulk Sequencing Data
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Author : Geng Chen
language : en
Publisher: Frontiers Media SA
Release Date : 2021-04-07

Multimodal And Integrative Analysis Of Single Cell Or Bulk Sequencing Data written by Geng Chen and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-07 with Science categories.




Machine Learning And Mathematical Models For Single Cell Data Analysis


Machine Learning And Mathematical Models For Single Cell Data Analysis
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Author : Le Ou-Yang
language : en
Publisher: Frontiers Media SA
Release Date : 2022-11-29

Machine Learning And Mathematical Models For Single Cell Data Analysis written by Le Ou-Yang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-29 with Science categories.




Single Cell Analysis On The Pathophysiology Of Autoimmune Diseases


Single Cell Analysis On The Pathophysiology Of Autoimmune Diseases
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Author : Shiang-Jong Tzeng
language : en
Publisher: Frontiers Media SA
Release Date : 2024-07-11

Single Cell Analysis On The Pathophysiology Of Autoimmune Diseases written by Shiang-Jong Tzeng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-11 with Medical categories.


Despite increasing research to facilitate the understanding of the pathophysiology of autoimmune disorders, the exact cause of the incident of autoimmunity is unknown. Current concepts on the occurrence of autoimmune diseases are thought to involve autoantigens, genetic predisposition, disease triggers, and the breakdown of immune tolerance. In addition to the breakdown of immunological tolerance, one key characteristic of autoimmune disease is that within a single disease there is considerable variability in the clinical manifestation and severity in patients. Single-cell omics have emerged as an effective means of unraveling the complexity and heterogeneity of chronic disease development and therapeutic responses. Recently, advances in cutting-edge spatial profiling of diverse cell types have increased our understanding of how distinct cells interact and orchestrate at specific locations across a tissue landscape in both physiological and pathological contexts at the single-cell level.