نتایج جستجو برای: same spot software

تعداد نتایج: 1099203  

Journal: :Physiological genomics 2005
Zhongming Chen Lin Liu

The spot images from DNA microarray highly affect the discovery of biological knowledge from gene expression data. However, results from quality analysis, normalization, differential expression, and cluster analysis are rarely validated with spot images in current data analysis methods or software packages. We designed RealSpot, a software package, to validate the results by directly associatin...

2011
Klaus Mayer Thomas Schmid Florian Weber

Starting with the liberalization of electricity trading, this market grew rapidly over the last decade. However, while spot and future markets are rather liquid nowadays, option trading is still limited. One of the potential reasons for this is that the spot price process of electricity is still puzzling researchers and practitioners. In this paper, we propose an approach to model spot prices t...

2011
C. K. Woo I. Horowitz J. Moore A. Pacheco

The literature on renewable energy suggests that an increase in intermittent wind generation would reduce the spot electricity market price by displacing high fuel-cost marginal generation. Taking advantage of a large file of Texas-based 15-min data, we show that while rising wind generation does indeed tend to reduce the level of spot prices, it is also likely to enlarge the spot-price varianc...

Journal: :Nucleic acids research 2003
M Juanita Martinez Anthony D Aragon Angelina L Rodriguez Jose M Weber Jerilyn A Timlin Michael B Sinclair David M Haaland Margaret Werner-Washburne

Microarray analysis is a critically important technology for genome-enabled biology, therefore it is essential that the data obtained be reliable. Current software and normalization techniques for microarray analysis rely on the assumption that fluorescent background within spots is essentially the same throughout the glass slide and can be measured by fluorescence surrounding the spots. This a...

2002
M. Juanita Martinez Anthony D. Aragon Angelina L. Rodriguez Jose M. Weber Jerilyn A. Timlin Michael B. Sinclair David M. Haaland Margaret Werner-Washburne

Microarray analysis is a critically important technology for genome-enabled biology, therefore it is essential that the data obtained be reliable. Current software and normalization techniques for microarray analysis rely on the assumption that ̄uorescent background within spots is essentially the same throughout the glass slide and can be measured by ̄uorescence surrounding the spots. This ass...

2013
Priyakanta Nayak Ajay M. V. Kumar Mareli Claassens Donald A. Enarson Srinath Satyanarayana Debashish Kundu Kshitij Khaparde Tarun K. Agrawal Shankar Dapkekar Sachin Chandraker Sreenivas Achuthan Nair

BACKGROUND The World Health Organization (WHO) recommends same day sputum microscopy (spot-spot) in preference to conventional strategy (spot-morning) for the diagnosis of smear positive tuberculosis with the view that completing diagnosis on a single day may be more convenient to the patients and reduce pre-treatment losses to follow-up. METHODS We conducted a cross-sectional study in seven ...

Journal: :Bioinformatics 2007
Eugene Novikov Emmanuel Barillot

UNLABELLED Although various software solutions are currently available for microarray image analysis, one would still expect to develop algorithms ensuring higher level of intelligence and robustness. We present a fully functional software package for automatic processing of the two-color microarray images including spot localization, quantification and quality control. The developed algorithms...

2007
P. Miranda Carranza

The Spatial Positioning tool (SPOT) is an isovist-based spatial analysis software, and is written in Java working as a stand-alone program. SPOT differs from regular Space syntax software as it can produce integration graphs and intervisibility graphs from a selection of positions. The concept of the software originates from a series of field studies on building interiors highly influenced by o...

2007
Antonis Daskalakis Dionisis A. Cavouras Panagiotis Bougioukos Spiros Kostopoulos Ioannis Kalatzis George C. Kagadis George Nikiforidis

A new method is proposed for improving microarray spot segmentation for gene quantification. The method introduces a novel combination of three image processing stages, applied locally to each spot image: i/ Fuzzy C-Means unsupervised clustering, for automatic spot background noise estimation, ii/ power spectrum deconvolution filter design, employing background noise information, for spot image...

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