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The coverage of the material falls squarely into the following categories: (a) Survival analysis and multivariate survival analysis, (b) Time series and longitudinal data analysis, (c) Statistical model development and (d) Applied statistical modelling.
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This two-volume set takes an in-depth look at stress signaling in plants from a uniquely genomic and proteomic perspective and offers a comprehensive treatise that covers all of the signaling pathways and mechanisms that have been researched so far.
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This book provides a comprehensive overview of topics describing the earliest steps of fertilization, from egg activation and fertilization to the activation of the zygotic genome, in various studied vertebrate model systems.
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Altogether, the discoveriespresented provide a better understanding of B cell biology and help to explainsome B cell-mediated pathogenicities, like autoimmune phenomena or theformation of B cell tumors, whilealso paving the way for eventually combating thesediseases.
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This volume covers the topics presented at the 3rd International Conference on Tumor Microenvironment and Cellular Stress by an international community of researchers.
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This book explores Dental Stem Cell (DSC) biology, from a review of basic concepts for cell culture, to isolation, self-renewal, multipotency and differentiation, regulation by molecular medicine, and prospective research areas for regenerative medicine.
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This volumeprovides insights into current research on fungal populations, communities andtheir interactions with other organisms.
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From these perspectives, we intend to provide the emerging aspects of plant systems research based on omics and bioinformatics analyses together with their associated resources and technological advances.
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This book focuses on the basic aspects of dental stem cells (DSCs) as well as their clinical applications in tissue engineering and regenerative medicine.
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This timely volume explores the use of CRISPR-Cas9 for genome editing, presenting cutting-edge techniques and their applications in treatment of disease.