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Earlier: A1, A3, A2:
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Bhandarkar, S.M.[Suchendra M.],
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Damiance, Jr., A.P.G.[Antonio P.G.],
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0506
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Earlier:
Signal discrimination using a support vector machine for genetic
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IEEE DOI Link
0409
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Blekas, K.,
Galatsanos, N.P.,
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Mixture model analysis of DNA microarray images,
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IEEE DOI Link
0508
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Hengerer, A.,
Wunder, A.,
Wagenaar, D.J.,
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From Genomics to Clinical Molecular Imaging,
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0504
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Marias, K.,
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Ntziachristos, V.,
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MedImg(24), No. 7, July 2005, pp. 894-900.
IEEE DOI Link
0508
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Volkovich, Z.,
Kirzhner, V.,
Bolshoy, A.,
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PR(38), No. 11, November 2005, pp. 1902-1912.
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Wang, H.Q.A.[Hong-Qi-Ang],
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PRL(27), No. 2, 15 January 2006, pp. 116-122.
WWW Version.
0512
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Jacob, M.,
Blu, T.,
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3-D Shape Estimation of DNA Molecules From Stereo Cryo-Electron
Micro-Graphs Using a Projection-Steerable Snake,
IP(15), No. 1, January 2006, pp. 214-227.
IEEE DOI Link
0601
BibRef
Jacob, M.,
Blu, T.,
Unser, M.,
Shape estimation of 3-D DNA molecules from stereo cryo-electron
micro-graphs,
ICIP04(III: 1883-1886).
IEEE DOI Link
0505
BibRef
Zhang, Q.[Qiong],
Zhang, Y.S.[Ying-Sha],
Hierarchical clustering of gene expression profiles with graphics
hardware acceleration,
PRL(27), No. 6, 15 April 2006, pp. 676-681.
WWW Version. Hierarchical clustering; Graphics processing units (GPUs); Gene expression profile; Microarray
0604
BibRef
Samavi, S.,
Shirani, S.,
Karimi, N.,
Real-Time Processing and Compression of DNA Microarray Images,
IP(15), No. 3, March 2006, pp. 754-766.
IEEE DOI Link
0604
BibRef
Jiao, S.H.[Shu-Hong],
Goutte, R.[Robert],
Genetic coding of image on synthetic peptides,
IJIST(15), No. 3, 2005, pp. 168-171.
WWW Version.
0510
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Mitra, S.[Sushmita],
Banka, H.[Haider],
Multi-objective evolutionary biclustering of gene expression data,
PR(39), No. 12, December 2006, pp. 2464-2477.
WWW Version.
0609
Multi-objective optimization; Microarray; Genetic algorithms;
Knowledge discovery
BibRef
Adjeroh, D.A.[Donald A.],
Zhang, Y.[Yong],
Parthe, R.[Rahul],
On denoising and compression of DNA microarray images,
PR(39), No. 12, December 2006, pp. 2478-2493.
WWW Version.
0609
DNA microarrays; Microarray gene clustering; Image context modeling
BibRef
Lee, J.G.[Jian-Guo],
Zhang, C.S.[Chang-Shui],
Classification of gene-expression data:
The manifold-based metric learning way,
PR(39), No. 12, December 2006, pp. 2450-2463.
WWW Version.
0609
Gene expression; Metric learning; Manifold learning; Nearest neighbor
BibRef
Wu, X.T.[Xin-Tao],
Ye, Y.[Yong],
Exploring gene causal interactions using an enhanced constraint-based
method,
PR(39), No. 12, December 2006, pp. 2439-2449.
WWW Version.
0609
Causal modeling; Microarray; Interaction analysis
BibRef
Lin, T.C.[Tsun-Chen],
Liu, R.S.[Ru-Sheng],
Chen, C.Y.[Chien-Yu],
Chao, Y.T.[Ya-Ting],
Chen, S.Y.[Shu-Yuan],
Pattern classification in DNA microarray data of multiple tumor types,
PR(39), No. 12, December 2006, pp. 2426-2438.
WWW Version.
0609
Gene expression profiling; Cancer classification;
Genetic algorithm; Silhouette statistics
BibRef
Mamitsuka, H.[Hiroshi],
Selecting features in microarray classification using ROC curves,
PR(39), No. 12, December 2006, pp. 2393-2404.
WWW Version.
0609
Feature subset selection; cDNA microarray; ROC;
Non-parametric hypothesis testing; Binary classification
BibRef
Rovetta, S.[Stefano],
Masulli, F.[Francesco],
Shared farthest neighbor approach to clustering of high dimensionality,
low cardinality data,
PR(39), No. 12, December 2006, pp. 2415-2425.
WWW Version.
0609
Data clustering; Similarity-based clustering; High-dimensional data analysis;
DNA microarray data analysis
BibRef
Zahid, M.A.H.,
Mittal, A.[Ankush],
Joshi, R.C.,
A pattern recognition-based approach for phylogenetic network
construction with constrained recombination,
PR(39), No. 12, December 2006, pp. 2312-2322.
WWW Version.
0609
Evolutionary relationship; Phylogenetic network; Recombination;
SNP; Gall trees; Pattern recognition
BibRef
Ruiz, R.[Roberto],
Riquelme, J.C.[José C.],
Aguilar-Ruiz, J.S.[Jesús S.],
Incremental wrapper-based gene selection from microarray data for
cancer classification,
PR(39), No. 12, December 2006, pp. 2383-2392.
WWW Version.
0609
Microarray; Gene selection; Classification; Feature selection
BibRef
Ceccarelli, M.[Michele],
Antoniol, G.[Giuliano],
A Deformable Grid-Matching Approach for Microarray Images,
IP(15), No. 10, October 2006, pp. 3178-3188.
IEEE DOI Link
0609
BibRef
Antoniol, G.[Giuliano],
Ceccarelli, M.[Michele],
Microarray image gridding with stochastic search based approaches,
IVC(25), No. 2, February 2007, pp. 155-163.
WWW Version.
0701
Markov random fields; Gridding; Genetic algorithm; Microarray
BibRef
Novikov, E.[Eugene],
Barillot, E.[Emmanuel],
A noise-resistant algorithm for grid finding in microarray image
analysis,
MVA(17), No. 5, October 2006, pp. 337-345.
Springer DOI Link
0609
BibRef
Pham, T.D.[Tuan D.],
Spectral distortion measures for biological sequence comparisons and
database searching,
PR(40), No. 2, February 2007, pp. 516-529.
WWW Version.
0611
Distortion measures; DNA sequences; Protein sequences; Bioinformatics
BibRef
Niijima, S.[Satoshi],
Kuhara, S.[Satoru],
Gene subset selection in kernel-induced feature space,
PRL(27), No. 16, December 2006, pp. 1884-1892.
WWW Version.
0611
Keywords: Microarray; Gene selection; Cancer classification; Kernel methods
BibRef
Lee, A.J.T.[Anthony J.T.],
Lin, C.W.[Chao-Wen],
Lo, W.H.[Wen-Hsing],
Chen, C.C.[Chieh-Chun],
Chen, J.X.[Jia-Xin],
A novel filtration method in biological sequence databases,
PRL(28), No. 4, 1 March 2007, pp. 447-458.
WWW Version.
0701
Bioinformatics; Sequence comparison; Filtration method
BibRef
Lukac, R.[Rastislav],
Plataniotis, K.N.[Konstantinos N.],
cDNA microarray image segmentation using root signals,
IJIST(16), No. 2, 2006, pp. 51-64.
WWW Version.
0703
BibRef
Earlier:
Vector Median Root Signals Determination for cDNA Microarray Image
Segmentation,
ICIAR05(879-885).
Springer DOI Link
0509
BibRef
Lukac, R.[Rastislav],
Plataniotis, K.N.[Konstantinos N.],
Smolka, B.[Bogdan],
Venetsanopoulos, A.N.[Anastasios N.],
An Automated Multichannel Procedure for cDNA Microarray Image
Processing,
ICIAR04(II: 1-8).
WWW Version.
0409
BibRef
Liang, F.[Faming],
Wang, N.[Naisyin],
Dynamic agglomerative clustering of gene expression profiles,
PRL(28), No. 9, 1 July 2007, pp. 1062-1076.
WWW Version.
0704
Dynamic agglomerative clustering; Gene expression profile;
Mini-cluster gene; Scattered gene; Silhouette width; Singleton gene
BibRef
Bello, M.[Musodiq],
Ju, T.[Tao],
Carson, J.[James],
Warren, J.[Joe],
Chiu, W.[Wah],
Kakadiaris, I.A.[Ioannis A.],
Learning-Based Segmentation Framework for Tissue Images Containing Gene
Expression Data,
MedImg(26), No. 5, May 2007, pp. 728-744.
IEEE DOI Link
0705
BibRef
Ray, S.S.,
Bandyopadhyay, S.,
Pal, S.K.,
Dynamic Range-Based Distance Measure for Microarray Expressions and a
Fast Gene-Ordering Algorithm,
SMC-B(37), No. 3, June 2007, pp. 742-749.
IEEE DOI Link
0706
BibRef
Kaban, A.[Ata],
On Bayesian classification with Laplace priors,
PRL(28), No. 10, 15 July 2007, pp. 1271-1282.
WWW Version.
0706
Laplace prior; Variational Bayes; Sparsity; Shrinkage effect;
Predictive features; Microarray gene expressions
BibRef
Cao, K.[Kajia],
Zhu, Q.M.[Qiu-Ming],
Iqbal, J.[Javeed],
Chan, J.W.C.[John W.C.],
A trend pattern assessment approach to microarray gene expression
profiling data analysis,
PRL(28), No. 12, 1 September 2007, pp. 1472-1482.
WWW Version.
0707
Gene expression profiling; Microarray data analysis; Boundary points;
Dynamical patterns; Trend evaluations; Fisher's discriminate criterion
BibRef
Li, J.[Jie],
Tang, X.L.[Xiang-Long],
Zhao, W.[Wei],
Huang, J.H.[Jian-Hua],
A new framework for identifying differentially expressed genes,
PR(40), No. 11, November 2007, pp. 3249-3262.
WWW Version.
0707
Microarray data; t-Test; Wilcoxon rank sum test; KS-test;
Differentially expressed genes; "Outlier" gene; Regression model;
Window of confidence level
BibRef
Zhu, Z.X.[Ze-Xuan],
Ong, Y.S.[Yew-Soon],
Dash, M.[Manoranjan],
Markov blanket-embedded genetic algorithm for gene selection,
PR(40), No. 11, November 2007, pp. 3236-3248.
WWW Version.
0707
Microarray; Feature selection; Markov blanket; Genetic algorithm (GA);
Memetic algorithm (MA)
BibRef
Wang, H.Q.A.[Hong-Qi-Ang],
Wong, H.S.[Hau-San],
Huang, D.S.A.[De-Shu-Ang],
Shu, J.[Jun],
Extracting gene regulation information for cancer classification,
PR(40), No. 12, December 2007, pp. 3379-3392.
WWW Version.
0709
Cancer classification; Gene expression levels; Gene regulation;
Microarray; Prediction strength
BibRef
Napoletani, D.,
Struppa, D.C.,
Sauer, T.,
Morozov, V.,
Vsevolodov, N.,
Bailey, C.,
Functional dissipation microarrays for classification,
PR(40), No. 12, December 2007, pp. 3393-3400.
WWW Version.
0709
Features enhancement; Matching pursuit; Classification;
Non-linear iterative maps; Wavelet transforms
BibRef
Groot, P.[Perry],
Gilissen, C.[Christian],
Egmont-Petersen, M.[Michael],
Error probabilities for local extrema in gene expression data,
PRL(28), No. 15, 1 November 2007, pp. 2133-2142.
WWW Version.
0711
Statistics; Scale-space theory; Bivariate Gaussian integration; Gene expression
BibRef
Ridgway, G.R.,
Godsill, S.J.,
Bayesian Image Modeling of cDNA Microarray Spots,
SPLetters(14), No. 10, October 2007, pp. 653-656.
IEEE DOI Link
0711
BibRef
Hoogeboom, H.,
Kosters, W.,
Laros, J.,
Selection of DNA Markers,
SMC-C(38), No. 1, January 2008, pp. 26-32.
IEEE DOI Link
0712
BibRef
Morris, D.,
Blind Microarray Gridding: A New Framework,
SMC-C(38), No. 1, January 2008, pp. 33-41.
IEEE DOI Link
0712
BibRef
Son, Y.S.[Young Sook],
Baek, J.S.[Jang-Sun],
A modified correlation coefficient based similarity measure for
clustering time-course gene expression data,
PRL(29), No. 3, 1 February 2008, pp. 232-242.
WWW Version.
0801
Pearson's correlation coefficient; Spearmann's correlation coefficient;
Modified correlation coefficient; Similarity; Clustering;
Time-course gene expression data
BibRef
Mancuso, K.[Katherine],
Hendrickson, A.E.[Anita E.],
Connor, Jr., T.B.[Thomas B.],
Mauck, M.C.[Matthew C.],
Kinsella, J.J.[James J.],
Hauswirth, W.W.[William W.],
Neitz, J.[Jay],
Neitz, M.[Maureen],
Recombinant adeno-associated virus targets passenger gene expression to
cones in primate retina,
JOSA-A(24), No. 5, May 2007, pp. 1411-1416.
WWW Version.
0801
BibRef
Li, J.,
Tang, X.,
Liu, J.,
Huang, J.,
Wang, Y.,
A novel approach to feature extraction from classification models based
on information gene pairs,
PR(41), No. 6, June 2008, pp. 1975-1984.
WWW Version.
0802
Feature extraction; Information gene pair; Microarray data;
Cancer classification; Genetic algorithm
BibRef
Cho, H.,
Lee, J.K.,
Error-Pooling Empirical Bayes Model for Enhanced Statistical Discovery
of Differential Expression in Microarray Data,
SMC-A(38), No. 2, March 2008, pp. 425-436.
IEEE DOI Link
0803
BibRef
Nilsson, B.[Bjorn],
A compression algorithm for pre-simulated Monte Carlo p-value
functions: Application to the ontological analysis of microarray
studies,
PRL(29), No. 6, 15 April 2008, pp. 768-772.
WWW Version.
0803
Biomedical pattern recognition; Bioinformatics; Microarrays;
Ontological analysis; Data compression
BibRef
Liu, E.T.,
Gene Array Technologies in Biological Investigations,
PIEEE(93), No. 4, April 2005, pp. 737-749.
IEEE DOI Link
0504
BibRef
Liu, J.,
Demirci, O.,
Calhoun, V.D.,
A Parallel Independent Component Analysis Approach to Investigate
Genomic Influence on Brain Function,
SPLetters(15), No. 1, 2008, pp. 413-416.
IEEE DOI Link
0804
BibRef
Calhoun, V.D.[Vince D.],
Does the Brain Rest?: An Independent Component Analysis of Temporally
Coherent Brain Networks at Rest and During a Cognitive Task,
Southwest08(201-204).
IEEE DOI Link
0803
BibRef
Zacharia, E.,
Maroulis, D.,
An Original Genetic Approach to the Fully Automatic Gridding of
Microarray Images,
MedImg(27), No. 6, June 2008, pp. 805-813.
IEEE DOI Link
0711
BibRef
Ho, J.[Jinn],
Hwang, W.L.[Wen-Liang],
Lu, H.H.S.,
Lee, D.T.,
Gridding Spot Centers of Smoothly Distorted Microarray Images,
IP(15), No. 2, February 2006, pp. 342-353.
IEEE DOI Link
0602
BibRef
Ho, J.[Jinn],
Hwang, W.L.[Wen-Liang],
Automatic Microarray Spot Segmentation Using a Snake-Fisher Model,
MedImg(27), No. 6, June 2008, pp. 847-857.
IEEE DOI Link
0711
BibRef
Earlier:
Segmenting Microarray Image Spots using an Active Contour Approach,
ICIP07(VI: 273-276).
IEEE DOI Link
0709
BibRef
Meyer, M.G.[Michael G.],
Fauver, M.[Mark],
Rahn, J.R.[J. Richard],
Neumann, T.[Thomas],
Patten, F.W.[Florence W.],
Seibel, E.J.[Eric J.],
Nelson, A.C.[Alan C.],
Automated cell analysis in 2D and 3D: A comparative study,
PR(42), No. 1, January 2009, pp. 141-146.
WWW Version.
0809
Automated classification; 3D; Cancer diagnosis; Tomography
BibRef
Hua, J.P.[Jian-Ping],
Tembe, W.D.[Waibhav D.],
Dougherty, E.R.[Edward R.],
Performance of feature-selection methods in the classification of
high-dimension data,
PR(42), No. 3, March 2009, pp. 409-424.
WWW Version.
0811
Classification; Feature selection; Microarray
BibRef
Fraser, K.[Karl],
Wang, Z.D.[Zi-Dong],
Li, Y.M.[Yong-Min],
Kellam, P.[Paul],
Liu, X.H.[Xiao-Hui],
Can graph-cutting improve microarray gene expression reconstructions?,
PRL(29), No. 16, 1 December 2008, pp. 2129-2136.
WWW Version.
0811
cDNA; Two channel; Microarrays; Background reconstruction; Graph-edge cuts
BibRef
Yu, D.G.[Dong-Gang],
Pham, T.D.[Tuan D.],
Zhou, X.B.[Xiao-Bo],
Wong, S.T.C.[Stephen T.C.],
Recognition and analysis of cell nuclear phases for high-content
screening based on morphological features,
PR(42), No. 4, April 2009, pp. 498-508.
Elsevier DOI Link
WWW Version.
0812
Nuclei phases; Cell screening; Feature extraction; Morphological
feature; Feed-forward detection; Feed-back detection; Shape
recognition; Normal cellular cycle
BibRef
Pham, T.D.[Tuan D.],
Beck, D.[Dominik],
Brandl, M.[Miriam],
Zhou, X.B.[Xiao-Bo],
Classification of Proteomic Signals by Block Kriging Error Matching,
ICISP08(281-288).
Springer DOI Link
0807
BibRef
Yin, Z.[Zheng],
Zhou, X.B.[Xiao-Bo],
Sun, Y.X.[You-Xian],
Wong, S.T.C.[Stephen T.C.],
Online phenotype discovery based on minimum classification error model,
PR(42), No. 4, April 2009, pp. 509-522.
Elsevier DOI Link
WWW Version.
0812
Online phenotype discovery; Minimum classification error; RNA
interference; High content screen; Gap statistics
BibRef
Foret, S.[Sylvain],
Wilson, S.R.[Susan R.],
Burden, C.J.[Conrad J.],
Empirical distribution of k-word matches in biological sequences,
PR(42), No. 4, April 2009, pp. 539-548.
Elsevier DOI Link
WWW Version.
0812
Alignment-free sequence comparison; Biological sequences; Genomic data
BibRef
Liew, A.W.C.[Alan Wee-Chung],
Law, N.F.[Ngai-Fong],
Cao, X.Q.[Xiao-Qin],
Yan, H.[Hong],
Statistical power of Fisher test for the detection of short periodic
gene expression profiles,
PR(42), No. 4, April 2009, pp. 549-556.
Elsevier DOI Link
WWW Version.
0812
Gene expression profiles; Periodicity detection; Fisher exact test;
g-Statistic; Short signal
BibRef
Geng, B.[Bo],
Zhou, X.B.[Xiao-Bo],
Hung, Y.S.,
Growing enzyme gene networks by integration of gene expression, motif
sequence, and metabolic information,
PR(42), No. 4, April 2009, pp. 557-561.
Elsevier DOI Link
WWW Version.
0812
Gene networks; Gene expression; Motif sequence; Metabolic reaction
BibRef
Neves, A.J.R.[António J.R.],
Pinho, A.J.[Armando J.],
Lossless Compression of Microarray Images Using Image-Dependent
Finite-Context Models,
MedImg(28), No. 2, February 2009, pp. 194-201.
IEEE DOI Link
0902
BibRef
Earlier:
Lossless Compression of Microarray Images,
ICIP06(2505-2508).
0610
IEEE DOI Link See also Lossy-to-Lossless Compression of Images Based on Binary Tree Decomposition.
BibRef
Ju, W.[Wen],
Shan, J.[Juan],
Yan, C.H.[Chang-Hui],
Cheng, H.D.,
Discrimination of disease-related non-synonymous single nucleotide
polymorphisms using multi-scale RBF kernel fuzzy support vector machine,
PRL(30), No. 4, 1 March 2009, pp. 391-396.
Elsevier DOI Link
WWW Version.
0903
Multi-scale RBF kernel; Membership function; Fuzzy support vector
machine (FSVM); Non-synonymous single nucleotide polymorphisms
(nsSNPs)
BibRef
Namati, E.,
Thiesse, J.,
de Ryk, J.,
McLennan, G.,
In vivo assessment of alveolar morphology using a flexible
catheter-based confocal microscope,
IET-CV(2), No. 4, December 2008, pp. 228-235.
WWW Version.
0905
BibRef
Hong, J.H.[Jin-Hyuk],
Cho, S.B.[Sung-Bae],
Gene boosting for cancer classification based on gene expression
profiles,
PR(42), No. 9, September 2009, pp. 1761-1767.
Elsevier DOI Link
WWW Version.
0905
Gene selection; Cancer classification; Wrapper method; Filter method; Boosting
BibRef
Kim, H.K.[Hyun-Ki],
Chen, S.S.[Su-Shing],
Associative Naive Bayes classifier:
Automated linking of gene ontology to medline documents,
PR(42), No. 9, September 2009, pp. 1777-1785.
Elsevier DOI Link
WWW Version.
0905
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Chromosome Analysis and Extraction .