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標(biāo)題: Titlebook: Marginal Models; For Dependent, Clust Jacques A.‘Hagenaars,Marcel A. Croon,Wicher Bergsm Book 2009 Springer-Verlag New York 2009 Fitting.In [打印本頁]

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書目名稱Marginal Models影響因子(影響力)




書目名稱Marginal Models影響因子(影響力)學(xué)科排名




書目名稱Marginal Models網(wǎng)絡(luò)公開度




書目名稱Marginal Models網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Marginal Models被引頻次




書目名稱Marginal Models被引頻次學(xué)科排名




書目名稱Marginal Models年度引用




書目名稱Marginal Models年度引用學(xué)科排名




書目名稱Marginal Models讀者反饋




書目名稱Marginal Models讀者反饋學(xué)科排名





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Statistics for Social and Behavioral Scienceshttp://image.papertrans.cn/m/image/623870.jpg
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978-1-4419-1873-4Springer-Verlag New York 2009
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2199-7357 i-level models or to GEE estimation to deal with these dependencies. Despite the enormous potential and applicability of these recent developments, they require restrictive assumptions on the n978-1-4419-1873-4978-0-387-09610-0Series ISSN 2199-7357 Series E-ISSN 2199-7365
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rk is that of cellular differentiation from omnipotent ES cells to terminally differentiated cells. Insight into this network is the basis for reprogramming of cells and the creation of iPS cells. An alternative example of a transcription factor network is that of NFKB and its regulation by IKBK pro
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Wicher Bergsma,Marcel Croon,Jacques A. Hagenaars. Transcription factories function as some sort of a “magnet” for commonly regulated genes with shared nuclear positions. This suggests that the transcriptional status of a gene is based on its position in the nucleus sphere. The transcription factory model is important for:.In this chapter, we will
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Wicher Bergsma,Marcel Croon,Jacques A. Hagenaars. Transcription factories function as some sort of a “magnet” for commonly regulated genes with shared nuclear positions. This suggests that the transcriptional status of a gene is based on its position in the nucleus sphere. The transcription factory model is important for:.In this chapter, we will
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Wicher Bergsma,Marcel Croon,Jacques A. Hagenaars is the central mechanism to control the general properties of a cell and its response to environmental perturbations. The latter applies both to healthy and disease conditions. A detailed insight into gene expression therefore bears the potential to understand not only the dys-regulation in disease
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Book 2009nd time two are compared in longitudinal studies. At present, researchers almost automatically turn to multi-level models or to GEE estimation to deal with these dependencies. Despite the enormous potential and applicability of these recent developments, they require restrictive assumptions on the n
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Causal Analyses: Structural Equation Models and (Quasi-)Experimental Designs,
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scades, which mostly start with an extracellular signaling molecule and end with an activated transcription factor. Latent transcription factors, such as SMAD, STAT, NFKB and others, are central to these pathways, as they are activated through different mechanisms of their translocation from the cyt
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Wicher Bergsma,Marcel Croon,Jacques A. Hagenaarsomatin domains are located in the nuclear interior, whereas silent domains reside at the nuclear periphery. Global changes in gene expression correlate with spatial chromatin reorganizations that play a significant role during development. Thus, transcriptionally active genes are involved in the pro
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Wicher Bergsma,Marcel Croon,Jacques A. Hagenaars, being used as a structural backbone of ribosomes (ribosomal RNA (rRNAs)), adaptor molecules in protein translation (transfer RNA (tRNAs)) and regulators of mRNA stability, protein translation and chromatin density (long ncRNAs and micro RNAs (miRNAs), for more details see Sect. 13.2). A gene is co
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Wicher Bergsma,Marcel Croon,Jacques A. Hagenaarsexpression is essential in shaping the various phenotypes of cells and tissues and as such, regulation of gene expression is a fundamental aspect of nearly all processes in physiology, both in healthy and in diseased states. Th is pivotal role for the regulation of gene expression makes this textboo
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Wicher Bergsma,Marcel Croon,Jacques A. Hagenaarsme is composed of some 20,000 protein-coding genes and an even higher number of genes for non-coding RNAs (ncRNAs) as well as a large number of pseudogenes. An essential condition that a gene can be expressed, ., transcribed into RNA, is that it its regulatory regions, such as transcription start si
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2199-7357 iew of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answering important research questions when dependent observations are involved, as the many real world examples in this book show...In the social, behavio
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