Pattern recognition techniques in microarray data analysis: a survey

F Valafar - Annals of the New York Academy of Sciences, 2002 - Wiley Online Library
Recent development of technologies (eg, microarray technology) that are capable of
producing massive amounts of genetic data has highlighted the need for new pattern …

Application of microarray technology in environmental and comparative physiology

AY Gracey, AR Cossins - Annual Review of Physiology, 2003 - annualreviews.org
▪ Abstract DNA microarray technology is revolutionizing many aspects of biological research,
allowing the expression of many thousands of gene transcripts to be monitored …

Microarray image enhancement by denoising using stationary wavelet transform

XH Wang, RSH Istepanian… - IEEE transactions on …, 2003 - ieeexplore.ieee.org
Microarray imaging is considered an important tool for large scale analysis of gene
expression. The accuracy of the gene expression depends on the experiment itself and …

Clustering-based hybrid inundation model for forecasting flood inundation depths

LC Chang, HY Shen, YF Wang, JY Huang, YT Lin - Journal of hydrology, 2010 - Elsevier
Estimation of flood depths and extents may provide disaster information for dealing with
contingency and alleviating risk and loss of life and property. We present a two-stage …

Donuts, scratches and blanks: robust model-based segmentation of microarray images

Q Li, C Fraley, RE Bumgarner, KY Yeung… - …, 2005 - academic.oup.com
Motivation: Inner holes, artifacts and blank spots are common in microarray images, but
current image analysis methods do not pay them enough attention. We propose a new …

Single sample expression-anchored mechanisms predict survival in head and neck cancer

X Yang, K Regan, Y Huang, Q Zhang, J Li… - PLoS computational …, 2012 - journals.plos.org
Gene expression signatures that are predictive of therapeutic response or prognosis are
increasingly useful in clinical care; however, mechanistic (and intuitive) interpretation of …

[BOK][B] Protein microarray technology

D Kambhampati - 2006 - books.google.com
This book is the first of its kind in the field of protein microarrays and addresses novel
strategies for constructing highly functional and biocompatible microarrays for screening …

Methods for automatic microarray image segmentation

M Katzer, F Kummert, G Sagerer - IEEE Transactions on …, 2003 - ieeexplore.ieee.org
This paper describes image processing methods for automatic spotted microarray image
analysis. Automatic gridding is important to achieve constant data quality and is, therefore …

Individual variability in delayed auditory feedback effects on speech fluency and rate in normally fluent adults

HC Chon, SJ Kraft, J Zhang, T Loucks, NG Ambrose - 2013 - pubs.asha.org
Purpose Delayed auditory feedback (DAF) is known to induce stuttering-like disfluencies
(SLDs) and cause speech rate reductions in normally fluent adults, but the reason for …

Automatic microarray image segmentation with clustering-based algorithms

G Shao, D Li, J Zhang, J Yang, Y Shangguan - PloS one, 2019 - journals.plos.org
Image segmentation, as a key step of microarray image processing, is crucial for obtaining
the spot expressions simultaneously. However, state-of-art clustering-based segmentation …