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21.
Brian?DM?TomEmail author Walter?R?Gilks Elizabeth?T?Brooke-Powell James?W?Ajioka 《BMC bioinformatics》2005,6(1):234
Background
A common feature of microarray experiments is the occurence of missing gene expression data. These missing values occur for a variety of reasons, in particular, because of the filtering of poor quality spots and the removal of undefined values when a logarithmic transformation is applied to negative background-corrected intensities. The efficiency and power of an analysis performed can be substantially reduced by having an incomplete matrix of gene intensities. Additionally, most statistical methods require a complete intensity matrix. Furthermore, biases may be introduced into analyses through missing information on some genes. Thus methods for appropriately replacing (imputing) missing data and/or weighting poor quality spots are required. 相似文献22.
Background
The taxonomic name of an organism is a key link between different databases that store information on that organism. However, in the absence of a single, comprehensive database of organism names, individual databases lack an easy means of checking the correctness of a name. Furthermore, the same organism may have more than one name, and the same name may apply to more than one organism. 相似文献23.
SMM?VerstappenEmail author AR?Poole M?Ionescu LE?King M?Abrahamowicz DM?Hofman JWJ?Bijlsma FPJG?Lafeber the Utrecht Rheumatoid Arthritis Cohort Study group 《Arthritis research & therapy》2005,8(1):R31
Introduction
The objective of this study was to determine whether serum biomarkers for degradation and synthesis of the extracellular matrix of cartilage are associated with, and can predict, radiographic damage in patients with rheumatoid arthritis (RA). 相似文献24.
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26.
Viktorian Miok Saskia M Wilting Mark A van de Wiel Annelieke Jaspers Paula I van Noort Ruud H Brakenhoff Peter JF Snijders Renske DM Steenbergen Wessel N van Wieringen 《BMC bioinformatics》2014,15(1)
Background
To determine which changes in the host cell genome are crucial for cervical carcinogenesis, a longitudinal in vitro model system of HPV-transformed keratinocytes was profiled in a genome-wide manner. Four cell lines affected with either HPV16 or HPV18 were assayed at 8 sequential time points for gene expression (mRNA) and gene copy number (DNA) using high-resolution microarrays. Available methods for temporal differential expression analysis are not designed for integrative genomic studies.Results
Here, we present a method that allows for the identification of differential gene expression associated with DNA copy number changes over time. The temporal variation in gene expression is described by a generalized linear mixed model employing low-rank thin-plate splines. Model parameters are estimated with an empirical Bayes procedure, which exploits integrated nested Laplace approximation for fast computation. Iteratively, posteriors of hyperparameters and model parameters are estimated. The empirical Bayes procedure shrinks multiple dispersion-related parameters. Shrinkage leads to more stable estimates of the model parameters, better control of false positives and improvement of reproducibility. In addition, to make estimates of the DNA copy number more stable, model parameters are also estimated in a multivariate way using triplets of features, imposing a spatial prior for the copy number effect.Conclusion
With the proposed method for analysis of time-course multilevel molecular data, more profound insight may be gained through the identification of temporal differential expression induced by DNA copy number abnormalities. In particular, in the analysis of an integrative oncogenomics study with a time-course set-up our method finds genes previously reported to be involved in cervical carcinogenesis. Furthermore, the proposed method yields improvements in sensitivity, specificity and reproducibility compared to existing methods. Finally, the proposed method is able to handle count (RNAseq) data from time course experiments as is shown on a real data set.Electronic supplementary material
The online version of this article (doi:10.1186/1471-2105-15-327) contains supplementary material, which is available to authorized users. 相似文献27.
Ribosomal RNA secondary structure: compensatory mutations and implications for phylogenetic analysis 总被引:6,自引:0,他引:6
Using sequence data from the 28S ribosomal RNA (rRNA) genes of selected
vertebrates, we investigated the effects that constraints imposed by
secondary structure have on the phylogenetic analysis of rRNA sequence
data. Our analysis indicates that characters from both base-pairing regions
(stems) and non-base-pairing regions (loops) contain phylogenetic
information, as judged by the level of support of the phylogenetic results
compared with a well-established tree based on both morphological and
molecular data. The best results (the greatest level of support of
well-accepted nodes) were obtained when the complete data set was used.
However, some previously supported nodes were resolved using either the
stem or loop bases alone. Stem bases sustain a greater number of
compensatory mutations than would be expected at random, but the number is
< 40% of that expected under a hypothesis of perfect compensation to
maintain secondary structure. Therefore, we suggest that in phylogenetic
analyses, the weighting of stem characters be reduced by no more than 20%,
relative to that of loop characters. In contrast to previous suggestions,
we do not recommend weighting of stem positions by one-half, compared with
that of loop positions, because this overcompensates for the constraints
that selection imposes on the secondary structure of rRNA.
相似文献
28.
Clara Correia‐Melo Francisco DM Marques Rhys Anderson Graeme Hewitt Rachael Hewitt John Cole Bernadette M Carroll Satomi Miwa Jodie Birch Alina Merz Michael D Rushton Michelle Charles Diana Jurk Stephen WG Tait Rafal Czapiewski Laura Greaves Glyn Nelson Mohammad Bohlooly‐Y Sergio Rodriguez‐Cuenca Antonio Vidal‐Puig Derek Mann Gabriele Saretzki Giovanni Quarato Douglas R Green Peter D Adams Thomas von Zglinicki Viktor I Korolchuk João F Passos 《The EMBO journal》2016,35(7):724-742
29.
Background and Aims
Nepenthes pitchers are sophisticated traps that employ a variety of mechanisms to attract, capture and retain prey. The underlying morphological structures and physiological processes are subject to change over the lifetime of a pitcher. Here an investigation was carried out on how pitcher properties and capture efficiency change over the first 2 weeks after pitcher opening.Methods
Prey capture, trapping efficiency, extrafloral nectar secretion, pitcher odour, as well as pH and viscoelasticity of the digestive fluid in N. rafflesiana pitchers were monitored in the natural habitat from pitcher opening up to an age of 2 weeks.Key Results
Pitchers not only increased their attractiveness over this period by becoming more fragrant and secreting more nectar, but also gained mechanical trapping efficiency via an enhanced wettability of the upper pitcher rim (peristome). Consistently, natural prey capture was initially low and increased 3–6 d after opening. It was, however, highly variable within and among pitchers. At the same time, the pH and viscoelasticity of the digestive fluid decreased, suggesting that the latter is not essential for effective prey capture.Conclusions
Prey capture and attraction by Nepenthes are dynamic processes strongly influenced by the changing properties of the pitcher. The results confirm insect aquaplaning on the peristome as the main capture mechanism in N. rafflesiana.Key words: Carnivorous plants, pitcher development, prey attraction, prey capture, insect aquaplaning, extrafloral nectar, Nepenthes rafflesiana 相似文献30.
B��atrice Bailly-Maitre Bengt F. Belgardt Sabine D. Jordan Beatrice Coornaert Miriam John von Freyend Andre Kleinridders Jan Mauer Michael Cuddy Christina L. Kress Diana Willmes Manuela Essig Brigitte Hampel Ulrike Protzer John C. Reed Jens C. Br��ning 《The Journal of biological chemistry》2010,285(9):6198-6207