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1.

図書
図書
1. Nuclear structure and gene expression
edited by R. Curtis Bird ... [et al.]
出版情報: San Diego ; Tokyo : Academic Press, c1997  xii, 304 p. ; 24 cm.
シリーズ名: Cell biology : a series of monographs
目次情報: 続きを見る
Introduction / S. Penman ; B.J. Blencowe ; J.A. Nickerson
The Nuclear Matrix: Past and Present
Nuclear Matrix Structure and Function / R. Berezney
The Nuclear Matrix: Mapping Genomic Organization and Function in the Cell Nucleus / K.A. Mattern ; R. van Driel ; L. de Jong
Composition and Structure of the Internal Nuclear Matrix / T. Kohwi-Shigematsu ; Y. Kohwi
High Unwinding Capability of Matrix Attachment Regions and ATC-Sequence Context-Specific MAR-Binding Proteins / R.C. Bird
The Cyclin/Cyclin-Dependent Kinase Complex: Regulation of Cell Cycle Progression and Nuclear Disassembly
Chromatin Structure and Transcritpion Complexes / G.S. Stein ; A.J. van Wijnen ; J. Stein ; J.B. Lian ; M. Montecino
Nuclear Architecture in Developmental Transcriptional Control of Cell Growth and Tissue-Specific Genes / D.G. Wansink
Transcription by RNA Polymerase II and Nuclear Architecture
Nuclear mRNP Complexes / S.A. Amero ; K.C. Sorensen
Protein Disposition on Nascent Pre-mRNA Transcripts
Chapter References
Subject Index
Introduction / S. Penman ; B.J. Blencowe ; J.A. Nickerson
The Nuclear Matrix: Past and Present
Nuclear Matrix Structure and Function / R. Berezney
2.

図書
図書
2. Gene structure and expression (: pbk.)
John D. Hawkins
出版情報: Cambridge [Cambridgeshire] ; New York : Cambridge University Press, 1985  xii, 173 p. ; 24 cm
3.

図書
図書
3. Molecular biology of aging : gene stability and gene expression
editors, R.S. Sohal, Linda S. Birnbaum, Richard G. Cutler
出版情報: New York : Raven Press, c1985  xiv, 351 p. ; 24 cm
シリーズ名: Aging ; v. 29
4.

図書
図書
4. Control of gene expression
Norman Maclean
出版情報: London ; New York : Academic Press, 1976  xi, 348 p. ; 24 cm
5.

図書
図書
5. Expression systems and processes for rDNA products
Randolph T. Hatch, editor ... [et al.]
出版情報: Washington, DC : American Chemical Society, 1991  x, 118 p. ; 24 cm
シリーズ名: ACS symposium series ; 477
目次情報: 続きを見る
Secondary Concerns of Recombinant Microorganism Processing
The Epsilon Translational Enhances: Application for Efficient Expression of
Foreign Genes in Escherichia coli
High-Cell-Density Fermentations Based on Culture Fluorescence: Applications for
Recombinant DNA Products in Escherichia coli
Mathematical Modeling and Optimization of Complex Biocatalysis: A Case Study of
Mercuric Reduction by Escherichia coli
Ubiquitin Fusion Approach to Heterologous Gene Expression in Yeast: High-Level
Production of Amino-Terminal Authentic Proteins
Constitutive and Regulated Expression of the Hepatitis B Virus (HBV) Pre
S2+SProtein in Recombinant Yeast
Engineering Studies of Protein Secretion in Recombinant Saccharomyces cerevisiae
Production of Antistasin Using the Baculovirus Expression System
Secondary Concerns of Recombinant Microorganism Processing
The Epsilon Translational Enhances: Application for Efficient Expression of
Foreign Genes in Escherichia coli
6.

図書
図書
6. Gene structure and expression. 2nd ed (: pbk.)
John D. Hawkins
出版情報: Cambridge ; New York : Cambridge University Press, 1991  xiii, 216 p. ; 23 cm
7.

図書
図書
7. Gene rearrangement (: hard ; : pbk)
edited by B.D. Hames and D.M. Glover
出版情報: Oxford [England] ; New York : IRL Press, c1990  xiii, 154 p. ; 23 cm
シリーズ名: Frontiers in molecular biology
目次情報:
Genomic Rearrangements in Prokaryotes / Douglas E. Berg1：
Antigenic Variation in African Trypanosomes: Genetic Recombination and Transcriptional Control of VSG Genes / Lexi J.T. Van der Ploeg2：
DNA Amplification in Eukaryotes / George R. Stark et al.3：
Genomic Rearrangements in Prokaryotes / Douglas E. Berg1：
Antigenic Variation in African Trypanosomes: Genetic Recombination and Transcriptional Control of VSG Genes / Lexi J.T. Van der Ploeg2：
DNA Amplification in Eukaryotes / George R. Stark et al.3：
8.

図書
図書
8. Free radicals and diseases : gene expression, cellular metabolism, and pathophysiology
edited by Tilman Grune
出版情報: Amsterdam : IOS Press, c2005  viii, 193 p. ; 25 cm
シリーズ名: NATO science series ; ser. 1 . Life and behavioural sciences ; v. 367
9.

図書
図書
9. Advanced analysis of gene expression microarray data
Aidong Zhang
出版情報: Hackensack, NJ : World Scientific, c2006  xv, 339 p. ; 24 cm
目次情報: 続きを見る
Preface
Introduction / 1：
The Microarray: Key to Functional Genomics and Systems Biology / 1.1：
Applications of Microarray / 1.2：
Gene Expression Profiles in Different Tissues / 1.2.1：
Developmental Genetics / 1.2.2：
Gene Expression Patterns in Model Systems / 1.2.3：
Differential Gene Expression Patterns in Diseases / 1.2.4：
Gene Expression Patterns in Pathogens / 1.2.5：
Gene Expression in Response to Drug Treatments / 1.2.6：
Genotypic Analysis / 1.2.7：
Mutation Screening of Disease Genes / 1.2.8：
Framework of Microarray Data Analysis / 1.3：
Summary / 1.4：
Basic Concepts of Molecular Biology / 2：
Cells / 2.1：
Proteins / 2.3：
Nucleic Acids / 2.4：
DNA / 2.4.1：
RNA / 2.4.2：
Central Dogma of Molecular Biology / 2.5：
Genes and the Genetic Code / 2.5.1：
Transcription and Gene Expression / 2.5.2：
Translation and Protein Synthesis / 2.5.3：
Genotype and Phenotype / 2.6：
Overview of Microarray Experiments / 2.7：
Microarray Chip Manufacture / 3.1：
Deposition-Based Manufacture / 3.2.1：
In Situ Manufacture / 3.2.2：
The Affymetrix GeneChip / 3.2.2.1：
Steps of Microarray Experiments / 3.3：
Sample Preparation and Labeling / 3.3.1：
Hybridization / 3.3.2：
Image Scanning / 3.3.3：
Image Processing / 3.4：
Microarray Data Cleaning and Preprocessing / 3.5：
Data Transformation / 3.5.1：
Missing Value Estimation / 3.5.2：
Data Normalization / 3.6：
Global Normalization Approaches / 3.6.1：
Standardization / 3.6.1.1：
Iterative linear regression / 3.6.1.2：
Intensity-Dependent Normalization / 3.6.2：
LOWESS: Locally weighted linear regression / 3.6.2.1：
Distribution normalization / 3.6.2.2：
Analysis of Differentially-Expressed Genes / 3.7：
Basic Concepts in Statistics / 4.1：
Statistical Inference / 4.2.1：
Hypothesis Test / 4.2.2：
Fold Change Methods / 4.3：
k-fold Change / 4.3.1：
Unusual Ratios / 4.3.2：
Model-Based Methods / 4.3.3：
Parametric Tests / 4.4：
Paired t-Test / 4.4.1：
Unpaired t-Test / 4.4.2：
Variants of t-Test / 4.4.3：
Non-Parametric Tests / 4.5：
Classical Non-Parametric Statistics / 4.5.1：
Other Non-Parametric Statistics / 4.5.2：
Bootstrap Analysis / 4.5.3：
Multiple Testing / 4.6：
Family-Wise Error Rate / 4.6.1：
Sidak correction and Bonferroni correction / 4.6.1.1：
Holm's step-wise correction / 4.6.1.2：
False Discovery Rate / 4.6.2：
Permutation Correction / 4.6.3：
SAM: Significance Analysis of Microarrays / 4.6.4：
ANOVA: Analysis of Variance / 4.7：
One-Way ANOVA / 4.7.1：
Two-Way ANOVA / 4.7.2：
Gene-Based Analysis / 4.8：
Proximity Measurement for Gene Expression Data / 5.1：
Euclidean Distance / 5.2.1：
Correlation Coefficient / 5.2.2：
Pearson's correlation coefficient / 5.2.2.1：
Jackknife correlation / 5.2.2.2：
Spearman's rank-order correlation / 5.2.2.3：
Kullback-Leibler Divergence / 5.2.3：
Partition-Based Approaches / 5.3：
K-means and its Variations / 5.3.1：
SOM and its Extensions / 5.3.2：
Graph-Theoretical Approaches / 5.3.3：
HCS and CLICK / 5.3.3.1：
CAST: Cluster affinity search technique / 5.3.3.2：
Model-Based Clustering / 5.3.4：
Hierarchical Approaches / 5.4：
Agglomerative Algorithms / 5.4.1：
Divisive Algorithms / 5.4.2：
DAA: Deterministic annealing algorithm / 5.4.2.1：
SPC: Super-paramagnetic clustering / 5.4.2.2：
Density-Based Approaches / 5.5：
DBSCAN / 5.5.1：
OPTICS / 5.5.2：
DENCLUE / 5.5.3：
GPX: Gene Pattern eXplorer / 5.6：
The Attraction Tree / 5.6.1：
The distance measure / 5.6.1.1：
The density definition / 5.6.1.2：
The attraction tree / 5.6.1.3：
An example of attraction tree / 5.6.1.4：
Interactive Exploration of Coherent Patterns / 5.6.2：
Generating the index list / 5.6.2.1：
The coherent pattern index and its graph / 5.6.2.2：
Drilling down to subgroups / 5.6.2.3：
Experimental Results / 5.6.3：
Interactive exploration of Iyer's data and Spellman's data / 5.6.3.1：
Comparison with other algorithms / 5.6.3.2：
Efficiency and Scalability / 5.6.4：
Cluster Validation / 5.7：
Homogeneity and Separation / 5.7.1：
Agreement with Reference Partition / 5.7.2：
Reliability of Clusters / 5.7.3：
P-value of a cluster / 5.7.3.1：
Prediction strength / 5.7.3.2：
Sample-Based Analysis / 5.8：
Selection of Informative Genes / 6.1：
Supervised Approaches / 6.2.1：
Differentially expressed genes / 6.2.1.1：
Gene pairs / 6.2.1.2：
Virtual genes / 6.2.1.3：
Genetic algorithms / 6.2.1.4：
Unsupervised Approaches / 6.2.2：
PCA: Principal component analysis / 6.2.2.1：
Gene shaving / 6.2.2.2：
Class Prediction / 6.3：
Linear Discriminant Analysis / 6.3.1：
Instance-Based Classification / 6.3.2：
KNN: k-Nearest Neighbor / 6.3.2.1：
Weighted voting / 6.3.2.2：
Decision Trees / 6.3.3：
Support Vector Machines / 6.3.4：
Class Discovery / 6.4：
Problem statement / 6.4.1：
CLIFF: CLustering via Iterative Feature Filtering / 6.4.2：
The sample-partition process / 6.4.2.1：
The gene-filtering process / 6.4.2.2：
ESPD: Empirical Sample Pattern Detection / 6.4.3：
Measurements for phenotype structure detection / 6.4.3.1：
Algorithms / 6.4.3.2：
Experimental results / 6.4.3.3：
Classification Validation / 6.5：
Prediction Accuracy / 6.5.1：
Prediction Reliability / 6.5.2：
Pattern-Based Analysis / 6.6：
Mining Association Rules / 7.1：
Concepts of Association-Rule Mining / 7.2.1：
The Apriori Algorithm / 7.2.2：
The FP-Growth Algorithm / 7.2.3：
The CARPENTER Algorithm / 7.2.4：
Generating Association Rules in Microarray Data / 7.2.5：
Rule filtering / 7.2.5.1：
Rule grouping / 7.2.5.2：
Mining Pattern-Based Clusters in Microarray Data / 7.3：
Heuristic Approaches / 7.3.1：
Coupled two-way clustering (CTWC) / 7.3.1.1：
Plaid model / 7.3.1.2：
Biclustering and 5-Clusters / 7.3.1.3：
Deterministic Approaches / 7.3.2：
[delta]-pCluster / 7.3.2.1：
OP-Cluster / 7.3.2.2：
Mining Gene-Sample-Time Microarray Data / 7.4：
Three-dimensional Microarray Data / 7.4.1：
Coherent Gene Clusters / 7.4.2：
Problem description / 7.4.2.1：
Maximal coherent sample sets / 7.4.2.2：
The mining algorithms / 7.4.2.3：
Tri-Clusters / 7.4.2.4：
The tri-cluster model / 7.4.3.1：
Properties of tri-clusters / 7.4.3.2：
Mining tri-clusters / 7.4.3.3：
Visualization of Microarray Data / 7.5：
Single-Array Visualization / 8.1：
Box Plot / 8.2.1：
Histogram / 8.2.2：
Scatter Plot / 8.2.3：
Gene Pies / 8.2.4：
Multi-Array Visualization / 8.3：
Global Visualizations / 8.3.1：
Optimal Visualizations / 8.3.2：
Projection Visualization / 8.3.3：
VizStruct / 8.4：
Fourier Harmonic Projections / 8.4.1：
Discrete-time signal paradigm / 8.4.1.1：
The Fourier harmonic projection algorithm / 8.4.1.2：
Properties of FHPs / 8.4.2：
Basic properties / 8.4.2.1：
Advanced properties / 8.4.2.2：
Harmonic equivalency / 8.4.2.3：
Effects of harmonic twiddle power index / 8.4.2.4：
Enhancements of Fourier Harmonic Projections / 8.4.3：
Exploratory Visualization of Gene Profiling / 8.4.4：
Microarray data sets for visualization / 8.4.4.1：
Identification of informative genes / 8.4.4.2：
Classifier construction and evaluation / 8.4.4.3：
Dimension arrangement / 8.4.4.4：
Visualization of various data sets / 8.4.4.5：
Comparison of FFHP to Sammon's mapping / 8.4.4.6：
Confirmative Visualization of Gene Time-series / 8.4.5：
Data sets for visualization / 8.4.5.1：
The harmonic projection approach / 8.4.5.2：
Rat kidney data set / 8.4.5.3：
Yeast-A data set / 8.4.5.4：
Yeast-B data set / 8.4.5.5：
New Trends in Mining Gene Expression Microarray Data / 8.5：
Meta-Analysis of Microarray Data / 9.1：
Meta-Analysis of Differential Genes / 9.2.1：
Meta-Analysis of Co-Expressed Genes / 9.2.2：
Semi-Supervised Clustering / 9.3：
General Semi-Supervised Clustering Algorithms / 9.3.1：
A Seed-Generation Approach / 9.3.2：
Seed-generation methods / 9.3.2.1：
Pattern-selection rules / 9.3.2.2：
The framework for the seed-generation approach / 9.3.2.3：
Integration of Gene Expression Data with Other Data / 9.4：
A Probabilistic Model for Joint Mining / 9.4.1：
A Graph-Based Model for Joint Mining / 9.4.2：
Conclusion / 9.5：
Bibliography
Index
Preface
Introduction / 1：
The Microarray: Key to Functional Genomics and Systems Biology / 1.1：
10.

図書
図書
10. DNA microarrays and gene expression : from experiments to data analysis and modeling (:pb)
Pierre Baldi and G. Wesley Hatfield
出版情報: Cambridge : Cambridge University Press, 2011  xvi, 213 p. ; 24 cm
目次情報: 続きを見る
Preface
A brief history of genomics / 1：
DNA array formats / 2：
DNA array readout methods / 3：
Gene expression profiling experiments: problems, pitfalls and solutions / 4：
Statistical analysis of array data: inferring changes / 5：
Statistical analysis of array data: dimensionality reduction, clustering, and regulatory regions / 6：
Survey of current DNA array applications / 7：
Systems biology: overview of regulatory, metabolic and signaling networks / 8：
Preface
A brief history of genomics / 1：
DNA array formats / 2：
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