Treffer 1 - 20
von 119.545
- 1
- 2
Seite in der Trefferliste auswählen
Key aspects of analyzing microarray gene-expression data.
Chen JJ
Publisher: Taylor & Francis Country of Publication: England NLM ID: 100897350 Publication Model: Print Cited Medium: Internet ISSN: 1744-8042 (Electronic) Linking ISSN: 14622416 NLM ISO Abbreviation: Pharmacogenomics Subsets: MEDLINE
Simulated annealing based automatic fuzzy clustering combined with ANN classification for analyzing microarray data
Maulik, Ujjwal ; Mukhopadhyay, Anirban
In Computers and Operations Research 2010 37(8):1369-1380
Biclustering of DNA microarray data using artificial immune system
Abohamad, Waleed ; Korayem, Mohammed ; Moustafa, Khaled
2010 10th International Conference on Intelligent Systems Design and Applications Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on. :1223-1228 Nov, 2010
Robust complementary hierarchical clustering for gene expression data analysis by β-divergence
Badsha, Md. Bahadur ; Mollah, Md. Nurul Haque ; Jahan, Nusrat ; et al.
In Journal of Bioscience and Bioengineering September 2013 116(3):397-407
Statistical methods for pre-processing microarray gene expression data
Khondoker, Md. Mizanur Rahman
Analyzing Microarray Gene Expression Data G. J. McLachlan K. -A. Do C. Ambroise
Lewin, Alex ; Hein, Anne-Mette
Journal of the Royal Statistical Society. Series A (Statistics in Society), 2005 Jan 01. 168(4), 876-877.
Analyzing Microarray Gene Expression Data Geoffrey J. McLachlan Kim-Anh Do Christophe Ambroise
Goldstein, Darlene R.
Journal of the American Statistical Association, 2005 Dec 01. 100(472), 1464-1465.
Clustering analysis of microarray gene expression data by splitting algorithm
Wang, Ruye ; Scharenbroich, Lucas ; Hart, Christopher ; et al.
In Journal of Parallel and Distributed Computing 2003 63(7):692-706
Nonparametric Methods for Microarray Data Based on Exchangeability and Borrowed Power.
Ting Lee, Mei-Ling ; Whitmore, G.A. ; Björkbacka, Harry ; et al.
Journal of Biopharmaceutical Statistics. Oct2005, Vol. 15 Issue 5, p783-797. 15p.
Mining Top-K Frequent Closed Patterns from Gene Expression Data
Ji, Shufan ; Wang, Xuejiao ; Zong, Yi ; et al.
2014 IEEE International Conference on Data Mining Workshop Data Mining Workshop (ICDMW), 2014 IEEE International Conference on. :732-739 Dec, 2014
Book Review Analyzing Microarray Gene Expression Data
Werner-Washburne, M.
DRUG DEVELOPMENT AND INDUSTRIAL PHARMACY. 32(1):137-138
Interval Type-2 Enhanced Possibilistic Fuzzy C-Means Clustering for Gene Expression Data Analysis
Sotudian, Shahabeddin ; Zarandi, Mohammad Hossein Fazel
CRCView: a web server for analyzing and visualizing microarray gene expression data using model-based clustering
Xiang, Z. ; Qin, Z. S. ; He, Y.
BIOINFORMATICS -OXFORD-. 23(14):1843-1845
An Evolutional Neural Network Framework for Classification of Microarray Data
Evari, Maryam Eshraghi ; Sulaiman, Md Nasir ; Behjat, Amir Rajabi
Analysing gene expression data from DNA microarrays to identify candidate genes
Wu, T. D.
JOURNAL OF PATHOLOGY. 195(1):53-65
Polynomial equation models for yeast cell-cycle time series microarray data by analysing fidelity matrices of gene expression values
Barman, Bandana ; Mukhopadhyay, Anirban
International journal of bioinformatics research and applications. 12(3):194-210
Analyzing Illumina Gene Expression Microarray Data Obtained From Human Whole Blood Cell and Blood Monocyte Samples
Teumer, Alexander ; Schurmann, Claudia ; Schillert, Arne ; et al.
Methods in molecular biology. 1368:85-98
Computational Strategies for Analyzing Data in Gene Expression Microarray Experiments
Aittokallio, T. ; Kurki, M. ; Nevalainen, O. ; et al.
INTERNATIONAL JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY. 1(3):541-586
A Review of: “Analyzing Microarray Gene Expression Data”.
Werner-Washburne, Margaret
Drug Development & Industrial Pharmacy. Jan2006, Vol. 32 Issue 1, p137-137. 1p.
Multivariate multi-scale Gaussian for microarray unsupervised classification
King, Amelia ; Yang, ZiHua ; Yang, Zheng Rong
2014 International Joint Conference on Neural Networks (IJCNN) Neural Networks (IJCNN), 2014 International Joint Conference on. :2458-2463 Jul, 2014
- 1
- 2