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Nuclear Reprogramming Methods and Protocols 2nd Edition by Nathalie Beaujean, Helene Jammes, Alice Jouneau ISBN 1493915932 9781493915934

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Nuclear Reprogramming Methods and Protocols 2nd Edition Nathalie Beaujean Digital Instant Download

Author(s): Nathalie Beaujean, Hélène Jammes, Alice Jouneau (eds.)
ISBN(s): 9781493915934, 1493915932
Edition: 2
File Details: PDF, 11.12 MB
Year: 2015
Language: english
SKU: EB-4914196 Category: Tags: , ,

Nuclear Reprogramming Methods and Protocols 2nd Edition by Nathalie Beaujean, Helene Jammes, Alice Jouneau – Ebook PDF Instant Download/Delivery: 1493915932, 9781493915934
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Product details:

ISBN 10: 1493915932 
ISBN 13: 9781493915934
Author: Nathalie Beaujean, Helene Jammes, Alice Jouneau

This volume provides basic and advanced protocols on somatic cell nuclear transfer, induced pluripotent stem cells, and direct reprogramming of somatic cells into different functional cells. Chapters guide readers through methods on standardized procedures for characterization of induced pluripotent stem cells, as well as those for preparation of materials required for induction of pluripotent stem cells. 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, Nuclear Reprogramming: Methods and Protocols aims to ensure successful results in the further study of this vital field.

Nuclear Reprogramming Methods and Protocols 2nd Table of contents:

Part I: Introduction and Background

  1. Less Is More

  2. Unsupervised Feature Selection

  3. Randomized Feature Selection

  4. Causal Feature Selection

Part II: Extending Feature Selection

  1. Active Learning of Feature Relevance

  2. A Study of Feature Extraction Techniques Based on Decision Border Estimate

  3. Ensemble-Based Variable Selection Using Independent Probes

Part III: Weighting and Local Methods

  1. Non-Myopic Feature Quality Evaluation with ReliefF

  2. Weighting Method for Feature Selection in K-Means

  3. Local Feature Selection for Classification

  4. Feature Weighting through Local Learning

Part IV: Text Classification and Clustering

  1. Feature Selection for Text Classification

  2. A Bayesian Feature Selection Score Based on Naïve Bayes Models

  3. Pairwise Constraints-Guided Dimensionality Reduction

  4. Aggressive Feature Selection by Feature Ranking

Part V: Feature Selection in Bioinformatics

  1. Feature Selection for Genomic Data Analysis

  2. A Feature Generation Algorithm with Applications to Biological Sequence Classification

  3. An Ensemble Method for Identifying Robust Features for Biomarker Discovery

  4. Model Building and Feature Selection with Genomic Data

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Tags: Nathalie Beaujean, Helene Jammes, Alice Jouneau, Nuclear Reprogramming