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Books on the topic 'Gene expression pattern'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Krasnoshtein, Flora. Analysis of the pattern of expression of the fanconi anemia group C (Fac) gene during murine development. National Library of Canada, 1995.

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2

ISBRA 2010 (2010 Storrs, Conn.). Bioinformatics research and applications: 6th international symposium, ISBRA 2010, Storrs, CT, USA, May 23-26, 2010 : proceedings. Springer, 2010.

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3

1958-, Kimura Ren, ed. Genetic inheritance patterns. Nova Science Publishers, 2008.

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4

Biganzoli, Elia. Computational Intelligence Methods for Bioinformatics and Biostatistics: 8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 – July 2, 2011, Revised Selected Papers. Springer Berlin Heidelberg, 2012.

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5

Hodaie, Mojgan. The effect of patterns of electrical stimulation on the expression of the preprotachykinin gene in rat superior cervical ganglion neurons. National Library of Canada, 1994.

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6

Law, David To Sang. Temporal pattern of gene expression during sporulation in saccharomyces cerevisiae. 1993.

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7

Hess, Karla Ann. Pattern of expression of the 4F-rnp gene transcripts in Drosophila melanogaster. 1994.

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8

Neuronal Differentiation of Embryonic Carcinoma Cells: Differential gene expression pattern of key genes during differentiation regime. LAP Lambert Academic Publishing, 2011.

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9

Said, Harun M., Adrian Staab, and Carsten Hagemann. Brain-Cancer Associated Tumor Marker Genes Expression Pattern in Humans. Nova Science Publishers, Incorporated, 2011.

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10

Saner, Catherine. Characterization of Drosophila melanogaster cytochrome P450 6A2: Gene structure, expression pattern and metabolic capacity towards procarcinogens. 1995.

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11

Bandyopadhyay, Sanghamitra, Ujjwal Maulik, and Jason T. Wang. Computational Intelligence and Pattern Analysis in Biology Informatics. Wiley & Sons, Incorporated, John, 2011.

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12

Bandyopadhyay, Sanghamitra, Ujjwal Maulik, and Jason T. Wang. Computational Intelligence and Pattern Analysis in Biology Informatics. Wiley & Sons, Incorporated, John, 2011.

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13

Tremblay, Steve. A comparison of gene expression pattern in OSCC between young and older individuals, with emphasis on GSTP1 and the Fanconi anemia genes. 2006.

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14

Bandyopadhyay, Sanghamitra, Ujjwal Maulik, and Jason T. Wang. Computational Intelligence and Pattern Analysis in Biology Informatics. Wiley & Sons, Incorporated, John, 2010.

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15

Bandyopadhyay, Sanghamitra, Ujjwal Maulik, and Jason T. Wang. Computational Intelligence and Pattern Analysis in Biology Informatics. Wiley & Sons, Incorporated, John, 2010.

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16

Sim, Fraser J., and Steven A. Goldman. Gene Expression Patterns of Oligodendrocyte Progenitor Cells and Oligodendroglia. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199794591.003.0029.

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This is a digitally enhanced text. Readers can also see the coverage of this topic area in the second edition of Neuroglia. The second edition of Neuroglia was first published digitally in Oxford Scholarship Online and the bibliographic details provided, if cited, will direct people to that version of the text. Readers can also see the coverage of this topic area in the ...

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17

Biganzoli, Elia, Roberto Tagliaferri, Alfredo Vellido, and Federico Ambrogi. Computational Intelligence Methods for Bioinformatics and Biostatistics: 8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 - ... Springer, 2012.

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18

Reventar, Roddie D. Target-selected gene inactivation and gene expression patterns of ETS transcription factors in Caenorhabditis elegans. 2004.

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19

Expression patterns of matrix genes during human skeletal development. Gustav Fischer, 1994.

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20

Recent advances in functional data analysis and related topics. Physica-Verlag, 2011.

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21

Ferraty, Frédéric. Recent Advances in Functional Data Analysis and Related Topics. Springer, 2011.

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22

Sousek, Alexandra, and Mehdi Tafti. The genetics of sleep. Edited by Sudhansu Chokroverty, Luigi Ferini-Strambi, and Christopher Kennard. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199682003.003.0005.

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Although there is strong evidence for a genetic contribution to inter-individual variations in sleep, the underlying factors and their interaction remain largely elusive. Much effort has been expended in studying genetic variations contributing to circadian and sleep phenotypes, the individual pattern of the human sleep EEG, reactions to sleep loss, and the pathophysiology of sleep-related disorders. Certain sleep-related diseases may be caused by single genes, while the etiology of others seems to be variable and complex. This is especially the case when the immune system is involved. This ch

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23

Geri, Guillaume, and Jean-Paul Mira. Host–pathogen interactions in the critically ill. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0306.

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Infection by a pathogenic micro-organism triggers a coordinated activation of both innate and adaptive immune responses. The innate immune response quickly triggers an antimicrobial response that will initiate development of a pathogen-specific, long-lasting adaptive immune response. Accurate recognition of microbial-associated molecular patterns by pattern-recognition receptors (PRRs) is the cornerstone of this immediate response. Most studied PRRs are Toll-like receptors (TLRs) and their kinase signalling cascades that activate nuclear transcription factors, and induce gene expression and cy

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24

Vester, Udo, and Stefanie Weber. Renal coloboma syndrome. Edited by Adrian Woolf. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0360.

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Renal coloboma syndrome is characterized by hypodysplasia of the kidneys and optic never anomalies. Dominant mutations in the paired box PAX2 gene have been defined as the underlying cause. Paired box proteins are important proteins involved in early organogenesis and PAX2 is highly expressed in the kidney, eye, and ear. This pattern of expression explains the spectrum of anomalies observed in RCS patients. The phenotypic variability of mutation carriers is high but ocular anomalies are detectable in almost all affected individuals. In some patients hearing impairment is observed. End-stage re

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25

Walsh, Bruce, and Michael Lynch. The Neutral Divergence of Quantitative Traits. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0012.

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The joint action of genetic drift and mutation results in the divergence of trait means over time. This chapter examines the expected amount of divergence, which forms the basis for a number of tests on whether an observed pattern is either too large relative to drift (suggesting directional selection) or two small (suggesting stabilizing selection). It then applies these results to examine tests for selection over a very diverse range of data sets, ranging from a stratophenetic series of fossils to divergence in gene expression over time. It also examines a number of trait-augmented marked-ba

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26

Suffredini, Anthony F., and J. Perren Cobb. Genetic and molecular expression patterns in critical illness. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0031.

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Investigators who study RNA, proteins, or metabolites use analytic platforms that simultaneously measure changes in the relative abundance of thousands of molecules in a single biological sample. Over the last decade, the application of these high-throughput, genome-wide platforms to study critical illness and injury has generated huge quantities of data that require specialized computational skills for analysis. These investigations hold promise for improving our understanding of the host response, thereby transforming the practice of intensive care. This chapter summarizes recent technologic

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27

Bascomb, Newell F. Purification and partial kinetic and physical characterization of two NADP-specific glutamate dehydrogenase isoenzymes and their protein precursors, and measurement of the patterns of accumulation and rates of degradation of their nonidentical subunits in synchronized cells of Chlorella cultured in different concentrations of ammonia. 1985.

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28

Brail, Leslie Harris. Analysis of the expression patterns of plasminogen activator genes at the single cell level. 1999.

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29

Goring, Daphne Ruth *. Studies on the regulatory regions and expression patterns of the murine -crystalline gene family during lens development and growth. 1990.

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30

Khorana, Radhika. Effects of folate deficiency on endothelial cell biology: Folate deficiency induces profound effects on global patterns of gene expression in vascular endothelial cells. 2006.

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31

Mammoser, Aaron. Primary and Secondary Glioblastoma. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199937837.003.0127.

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Glioblastoma, formerly glioblastoma multiforme, is synonymous with WHO grade IV astrocytoma and is the most commonly diagnosed astrocytoma; it carries with it significant clinical, histologic, and molecular heterogeneity, with subtypes of the tumor and important new mutations associated with it characterized over the previous decade. Gene expression profiling has identified four tumor subgroups associated with specific mutational patterns, age of onset, and prognosis. The discovery of isocitrate dehydrogenase (IDH) mutations has led to further delineation between primary and secondary glioblas

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32

Andersson, Gunnar. Differentiation and Pathogenicity Within the Saprolegniaceae: Studies on Physiology and Gene Expression Patterns in Saprolegnia Parasitica and Aphanomyces ... the Faculty of Science and Technology, 680). Uppsala Universitet, 2001.

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33

Bittner, Edward A., and Shawn P. Fagan. The host response to trauma and burns in the critically ill. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0304.

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Following severe traumatic injury, patients enter a state of immune dysregulation consisting of both exaggerated inflammation and immune suppression. Traditionally, the host response has been viewed as an early systemic inflammatory response syndrome (SIRS) followed temporally by a compensatory anti-inflammatory or immune-suppressive response syndrome (CARS). While this paradigm has been widely accepted across both medical and scientific fields, recent advances have challenged this concept. The Glue grant investigators recently characterized both the initial inflammatory response to injury and

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34

Pechenik, Jan A., ed. Latent Effects: Surprising Consequences of Embryonic and Larval Experience on Life after Metamorphosis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198786962.003.0014.

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The coming years will apparently bring increases in seawater temperatures, salinity fluctuation, and ocean acidity, along with increasing pollution levels and increasing incidences of coastal hypoxic events. We can also expect to see shifting patterns of phytoplankton abundance and nutritional quality. Many such stresses experienced early in development—even among brooded embryos—have been found to influence growth rates, survival, and other fitness characteristics following metamorphosis, sometimes for months, both in laboratory studies and in those in which juveniles were transplanted to the

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35

Merl, Dan, Joseph Lucas, Joseph Nevins, Haige Shen, and Mike West. Trans-study projection of genomic biomarkers in analysis of oncogene deregulation and breast cancer. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.6.

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This article focuses on the use of Bayesian concepts and methods in the trans-study projection of genomic biomarkers for the analysis of oncogene deregulation in breast cancer. The objective of the study is to determine the extent to which patterns of gene expression associated with experimentally induced oncogene pathway deregulation can be used to investigate oncogene pathway activity in real human cancers. This is often referred to as the in vitro to in vivo translation problem, which is addressed using Bayesian sparse factor regression analysis for model-based translation and refinement of

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36

Steane, Andrew. Darwinian Evolution. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198824589.003.0008.

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Having asserted what Darwinian evolution is not, we next consider what it is. The aim is to get a reasonable overall judgement of what sort of process and sequence of events is found. The existence and role of randomness or openness is discussed. The text looks briefly at animal aggression. It is argued that the metaphor of ‘eagerness’ is better than the metaphor of ‘selfisheness’ when thinking about genes. The journey undergone by life on Earth has not been a mere sequence of events, but a story of noteable and genuine increase in richness of expression. Nor has it been merely haphazard, beca

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