Benchmarking and Development of Computational Methods for Single Cell Data Analysis- Challenges and Opportunities

Benchmarking and Development of Computational Methods for Single Cell Data Analysis- Challenges and Opportunities

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Benchmarking Statistical and Machine-Learning Methods for Single-cell RNA Sequencing Data

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The large-scale, high-dimensional, and sparse single-cell RNA sequencing (scRNA-seq) data have raised great challenges in the pipeline of data analysis. A large

Computational Methods for Single-Cell Data Analysis

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This detailed book provides state-of-art computational approaches to further explore the exciting opportunities presented by single-cell technologies. Chapters

Development and Benchmarking of Imputation Methods for Micriobome and Single-cell Sequencing Data

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Next generation sequencing (NGS) has revolutionized biomedical research and has a broad impact and applications. Since its advent around 15 years ago, this high

Revealing Translational and Fundamental Insights Via Computational Analysis of Single-cell Sequencing Data

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Single-cell sequencing has emerged as a powerful tool for dissecting cellular heterogeneity and providing cell type-specific biological insights. Single-cell se