This book presents an anti-intellectualist view of how the cognitive-mental dimension of human intellect is rooted in and interwoven with our embodied-internal components including emotion, perception, desire, etc., by investigating practical forms of thinking such as deliberation, planning, decision-making, etc. With many thought-provoking statements, the book revises some classical notions of rationality with new interpretation: we are "rational animals", which means we have both rational capabilities, such as calculation, evaluation, justification, etc., and more animal aspects, like desire, emotion, and the senses. According to the traditional position of rationalism, we use well-grounded reason as the fundamental basis of our actions. But this book argues that we simply perform our practical intellect intuitively and spontaneously, just like playing music. By this the author turns the dominant metaphor of "architecture" in understanding of human rationality to that of "music-playing". This book presents a groundbreaking and compelling critique of today's pervasively reflective-intellectual culture, just as Bernard Williams, Charles Taylor and other philosophers diagnose, and makes any detached notion of rationality and formalized understanding of human intellect highly problematic.Methodologically, it not only reconciles the phenomenological-hermeneutic tradition with analytical approaches, but also integrates various theories, such as moral psychology, emotional studies, action theory, decision theory, performativity studies, music philosophy, tacit knowledge, collective epistemology and media theory. Further, its use of everyday cases, metaphors, folk stories and references to movies and literature make the book easy to read and appealing for a broad readership.

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.