Computational Biology of Embryonic Stem Cells

Editor(s): Ming Zhan

Indexed in: Book Citation Index, Science Edition, BIOSIS Previews, Scopus, EBSCO.

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Computational biology in combination with large-scale biology has played a critical role in exploring the great potentials of embryonic stem cells, resulting in significant discoveries. This e-book ...
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Foreword  promotion: free to download

Pp. i


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Pp. ii-iv (3)

Ming Zhan

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Pp. v-ix (5)

Ming Zhan

A Genetic Network Identification Algorithm Combining Experiment and Computation

Pp. 3-24 (22)

Ipsita Banerjee, Keith Task and Spandan Maiti

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Causality Reasoning and Discovery for Systems Biology Investigations

Pp. 25-43 (19)

Yi Liu, Hong Yu and Jing-Dong J. Han

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Exploring Stem Cell Gene Expression Signatures using AutoSOME Cluster Analysis

Pp. 44-70 (27)

Aaron M. Newman and James B. Cooper

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Transcriptional Co-Expression Analysis of Embryonic Stem Cells

Pp. 109-132 (24)

Yu Sun and Ming Zhan

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Genomics of Alternative Splicing in Stem Cells

Pp. 147-160 (14)

Stephanie C. Huelga and Gene W. Yeo

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Computational Biology of microRNA-Pluripotency Gene Networks in Embryonic Stem Cells

Pp. 161-179 (19)

Preethi H. Gunaratne and Jayantha B. Tennakoon

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Paired SAGE-microarray Expression Data Sets Reveal Antisense Transcripts Differentially Expressed in Embryonic Stem Cell Differentiation

Pp. 193-215 (23)

Reatha Sandie, Christopher J. Porter, Gareth A. Palidwor, Feodor Price, Paul M. Krzyzanowski, Enrique M. Muro, Sebastian Hoersch, Mandy Smith, Pearl A. Campbell, Carolina Perez-Iratxeta, Michael A. Rudnicki and Miguel A. Andrade-Navarro

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Pp. 246-250 (5)

Ming Zhan