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papers
Papers
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A Ranking Method to Improve Detection of Disease Using Selectively Expressed Genes in Microarray Data.
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- Virginie Aris and Michael Recce
- (presentation)
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Application of Discretization and Association Algorithms in Analysis of High Throughput Gene Expression Profiles for Modelling Leukemia and Neurodegenerative Disease
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- Bijlani RR1, Cheng Y1, Brooks AI2,3, Pearce D2, Federoff HJ2,3,Ogihara M1
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Mining Gene Expression Data using Rough Set Theory
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- S. Bulashevska, W. Dubitzky, R. Eils (corresponding author)
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A Filtering Method of Gene Expression Data for Multi-type Disease Classification
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- Tzu-Ming Chu and B.S. Weir
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Analysis of Gene Expression Data with GeneSpring and MetaMine
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- Andrew Conway
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A Linear Systems Analysis of Expression Time Series
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- T. Gregory Dewey and Ashish Bhan
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Tumor Tissue Classification Using Support Vector Machines and k-Nearest Neighbor Methods
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- Chris H.Q. Ding
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Statistical Analysis of Microarray Data
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- Tom Downey
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Datamining DNA microarray data: separating the wheat from the chaff
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- Draghici Sorin, Hoff Bruce, Shams Soheil
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Symbolic and Subsymbolic Machine Learning Approaches for Molecular Classification of Cancer and Ranking of Genes
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- W. Dubitzky, M. Granzow, D. Berrar, S. Bulashevska, C. Conrad, D. Gerlich, R. Eils (corresponding author)
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Iterative Linear Regression by Sector: Renormalization of cDNA Microarray Data and Cluster Analysis Weighted by Cross Homology
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- Finkelstein David B., Gollub Jeremy, Ewing Rob, Sterky Fredrik, Somerville Shauna, Cherry Michael J
- (presentation)
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Using Non-parametric Methods in the Context of Multiple Testing to Determine Differentially Expressed Genes
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- Gregory Grant, Elisabetta Manduchi, Christian Stoeckert
- (presentation)
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Robust Model-Based Clustering of Genes in Microarray Data: Are there Gene Clusters?
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- Johanna Hardin, David M. Rocke, Davis David, L. Woodruff
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Modified multi-dimensional scaling (MDS) algorithm for mining gene expression patterns
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- Xijin Ge, Shin-ichi Yonamine, Yiming Mi, Shuichi Tsutsumi, Yuko Kobune, Hiroyuki Aburatani, and Shichi Iwata
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Improved 2-Color "Exponential" Normalization for Microarray Analyses Employing Cyanine Dyes
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- Thomas Houts
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Applying Machine Learning Techniques to Analysis of Gene Expression Data: Cancer Diagnosis
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- Kyu-Baek Hwang, Dong-Yeon Cho, Sang-Wook Park, Sung-Dong Kim, Byoung-Tak Zhang
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Quantifying the Discrimination Power of Various Conditions in the Yeast Data Set
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- Jagota Arun, Masso Majid, Van Osdol William W
- (presentation)
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A Heuristic Search for Discovering Classifier Gene-Sets
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- Goutham Kurra, Wen Niu, Raj Bhatnagar
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Application of a Bayesian Latent Class Model
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- Emmanuel N. Lazaridis
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Computational Analysis of Leukemia Microarray Expression Data Using the GA/KNN Method and Other Existing Tools
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- Leping Li, Pierre Bushel, Lee Pedersen, Thomas Darden, Hisham Hamadeh, Lee Bennett, Cindy Afshari, Rick Paules, David Umbach and Clarice Weinberg
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How Many Genes Are Needed for a Discriminant Microarray Data Analysis?
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- Wentian Li, Yaning Yang
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Classical Statistical Approaches to Molecular Classification of Cancer From Gene expression Profiling.
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- J. Lu, S. Hardy, W. Tao, S. Muse, B. Weir and S. Spruill
- (presentation)
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Identifying statistically significant patterns of expression via Bayesian Infinite Mixture Models
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- Mario Medvedovic
- (presentation)
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Symbolic Discriminant Analysis for Mining Gene Expression Patterns
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- Jason H. Moore, Joel S. Parker, Lance W. Hahn
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Classification of Acute Leukemia Based on Gene Expression from DNA Microarrays Using Partial Least Squares
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- Danh V. Nguyen and David M. Rocke
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A Nearest Neighbor Clustering Algorithm for Gene Expression Data based on Iterative Sampling
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- Anca Ralescu and Waibhav Tembe
- (presentation)
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HCV: A Microarray Data Visualization Tool Integrating Biological Information and Expression Data
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- Robinson Jim, Fleming James, Riordan Dan, Blackman Ronald K
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Tumor Identification by Gene Expression Profiles: A Comparison of Five Different Clustering Methods
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- A. Schuster, W. Dubitzky, F. J. Azuaje, M. Granzow, D. Berrar, R. Eils
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Probabilistic Models for Clustering Cell Cycle-Regulated Genes in the Yeast
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- Hyung-Joo Shin, Jeong-Ho Chang, Jin-San Yang, Byoung-Tak Zhang, Sirk June Augh
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Exploring Class Prediction for Leukemia Gene Expression Data
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- Alex Smith Jaya Satagopan Mithat Gonen Colin B. Begg
- (presentation)
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Resampling-based analysis of micro-array data
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- S. Stanley Young, Michael Emptage, Eric Yount, Peter Westfall
- (presentation)
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Applying Classification Separability Analysis to Microarray Data
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- Zhen Zhang, Grier Page, and Hong Zhang
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