Gaussian mixture clustering and imputation of microarray data

Ouyang, Ming, Welsh, William J., Georgopoulos, Panos·2004·Bioinformatics

Cited by (202)

Items 101–200 of 202

  1. Learning Associations between Features and Clusters: An Interpretable Deep Clustering Method
    Hao Huang, Feng Xue, Weizhong Yan, Tianyi Wang, Shinjae Yoo, Chenxiao Xu · 2021 · International Joint Conference on Neural Networks (IJCNN)
  2. Quantitative analysis of high‐throughput biological data
    Hsueh‐Fen Juan, Hsuan‐Cheng Huang · 2023 · Wiley Interdisciplinary Reviews Computational Molecular Science
  3. Gaussian Mixture Decomposition of Time-Course DNA Microarray Data
    Joanna Polańska, Piotr Widłak, Joanna Rzeszowska‐Wolny, Marek Kimmel, Andrzej Polański · 2007 · Birkhäuser Boston eBooks
  4. Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer
    Mohan Timilsina, Dirk Fey, Samuele Buosi, Adrianna Janik, Luca Costabello, Enric Carcereny, Delvys Rodríguez‐Abreu, Manuel Cobo, Rafael López Castro, Reyes Bernabé et al. · 2023 · Journal of Biomedical Informatics
  5. Mixtures of restricted skew-t factor analyzers with common factor loadings
    Wan‐Lun Wang, Luis M. Castro, Yen-Ting Chang, Tsung‐I Lin · 2018 · Advances in Data Analysis and Classification
  6. A novel distance-based iterative sequential KNN algorithm for estimation of missing values in microarray gene expression data
    Chandra Das, Shilpi Bose, Matangini Chattopadhyay, Samiran Chattopadhyay · 2016 · International Journal of Bioinformatics Research and Applications
  7. How to Improve Postgenomic Knowledge Discovery Using Imputation
    Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence Sean Dooley, Ross L. Coppel · 2009 · EURASIP Journal on Bioinformatics and Systems Biology
  8. An Unsupervised Approach to Predict Functional Relations between Genes Based on Expression Data
    Md. Altaf‐Ul‐Amin, Tetsuo Katsuragi, Tetsuo Sato, Naoaki Ono, Shigehiko Kanaya · 2014 · BioMed Research International
  9. Iterative Clustering Analysis for Grouping Missing Data in Gene Expression Profiles
    Dae‐Won Kim, Bo‐Yeong Kang · 2006 · Lecture notes in computer science
  10. Comparing Imputation Procedures for Affymetrix Gene Expression Datasets Using MAQC Datasets
    Sreevidya Sadananda Sadasiva Rao, Lori A. Shepherd, Andrew E. Bruno, Song Liu, Jeffrey C. Miecznikowski · 2013 · Advances in Bioinformatics
  11. Imputation of missing data using Bayesian Principal Component Analysis on TEC ionospheric satellite dataset
    Parthasarathy Subashini, Marimuthu Krishnaveni · 2011 · Conference proceedings - Canadian Conference on Electrical and Computer Engineering
  12. A Collateral Missing Value Estimation Algorithm for DNA Microarrays
    Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence Sean Dooley · 2006 · IEEE International Conference on Acoustics Speech and Signal Processing
  13. Novel multimodal sensing and machine learning strategies to classify cognitive workload in laparoscopic surgery
    Ravi Naik, Adrian Rubio-Solis, Kaizhe Jin, George P. Mylonas · 2024 · European Journal of Surgical Oncology
  14. Soft Neighbors Supported Contrastive Clustering
    Yu Duan, Huimin Chen, Runxin Zhang, Rong Wang, Feiping Nie, Xuelong Li · 2025 · IEEE Transactions on Image Processing
  15. Two‐way Gaussian mixture models for high dimensional classification
    Mu Qiao, Jia Li · 2010 · Statistical Analysis and Data Mining The ASA Data Science Journal
  16. Mining Gene Expression Profile with Missing Values: An Integration of Kernel PCA and Robust Singular Values Decomposition
    Md. Saimul Islam, Md. Aminul Hoque, Md. Sahidul Islam, Mohammad Ali, Md. Bipul Hossen, Md. Binyamin, Amir Feisal Merican, Kohei Akazawa, Nishith Kumar, Masahiro Sugimoto · 2018 · Current Bioinformatics
  17. A non-local grouping tensor train decomposition model for travel demand analysis concerning categorical independent variables
    Zheng Zhu, Meng Xu, Kehua Wang, Chenyuan Lei, Yingji Xia, Xiqun Michael Chen · 2023 · Transportation Research Part C Emerging Technologies
  18. Quality determination and the repair of poor quality spots in array experiments
    Brian D. M. Tom, Walter R. Gilks, Elizabeth T. Brooke‐Powell, James W. Ajioka · 2005 · BMC Bioinformatics
  19. Coresets for Time Series Clustering
    Ling-Xiao Huang, K. Sudhir, Nisheeth K. Vishnoi · 2021 · Neural Information Processing Systems
  20. A Prediction Model with Multi-Pattern Missing Data Imputation for Medical Dataset
    K. Jegadeeswari, R. Ragunath, R. Rathipriya · 2023 · Communications in computer and information science
  21. Prediction of regulatory gene pairs using dynamic time warping and gene ontology
    Andy C. Yang, Hui-Huang Hsu, Ming-Da Lu, Vincent S. M. Tseng, Timothy K. Shih · 2014 · International Journal of Data Mining and Bioinformatics
  22. Rasgele Orman Yönteminde Eksik Veri Probleminin İncelenmesi
    Hülya Özen, Cengiz Bal · 2019 · OSMANGAZİ JOURNAL OF MEDICINE
  23. Mapping QTL for Multiple Traits
    Shizhong Xu · 2012 · Springer eBooks
  24. TV-DCT: Method to Impute Gene Expression Data Using DCT Based Sparsity and Total Variation Denoising
    Akanksha Farswan, Anubha Gupta · 2019 · IEEE International Conference on Acoustics Speech and Signal Processing
  25. Improving Missing Value Imputation in Microarray Data by Using Gene Regulatory Information
    Qian Xiang, Xianhua Dai · 2008 · International Conference on Bioinformatics and Biomedical Engineering
  26. Bayesian model-based tight clustering for time course data
    Yongsung Joo, George Casella, James P. Hobert · 2009 · Computational Statistics
  27. Microarray Gene Expression Data Analysis
    Alan Wee‐Chung Liew, Xiangchao Gan · 2010
  28. Development of a method for heat shock stress assessment in yeast based on transcription of specific genes
    Eugenio Meza, Ana Joyce Muñoz‐Arellano, Magnus Johansson, Xin Chen, Dina Petranović · 2021 · Yeast
  29. Clustering of Functional Data by Band Depth
    Amy M. Kwon, Ming Ouyang · 2016 · International Conference on Bio-Inspired Models of Network, Information and Computing Systems (BIONETICS)
  30. Impute Gene Expression Missing Values via Biological Networks: Optimal Fusion of Data and Knowledge
    Mingrong Xiang, Jingyu Hou, Wei Luo, Wenjing Tao, Deshou Wang · 2021 · International Joint Conference on Neural Networks (IJCNN)
  31. Analysis of imputation algorithms for microarray gene expression data
    Hosahalli Lakshmaiah Shashirekha, Agaz Hussain Wani · 2015 · International Conference on Applied and Theoretical Computing and Communication Technology
  32. Recombination Fraction
    Shizhong Xu · 2012 · Springer eBooks
  33. Scalable Data Quality for Big Data: The Pythia Framework for Handling Missing Values
    Atoshum Cahsai, Christos B. Anagnostopoulos, Peter Triantafillou · 2015 · Big Data
  34. Pattern Recognition with Gaussian Mixture Models of Marginal Distributions
    Masako Omachi, Shinichiro Omachi · 2011 · IEICE Transactions on Information and Systems
  35. Quality Weighted Mean and T-test in Microarray Analysis Lead to Improved Accuracy in Gene Expression Measurements and Reduced Type I and II Errors in Differential Expression Detection
    Shouguo Gao · 2008 · Journal of Computer Science & Systems Biology
  36. ESTIMATION OF MISSING VALUES USING OPTIMISED HYBRID FUZZY C-MEANS AND MAJORITY VOTE FOR MICROARRAY DATA
    Shamini Raja Kumaran, Mohd Shahizan Othman, Lizawati Mi Yusuf · 2020 · Journal of Information and Communication Technology
  37. A Hybrid Approach for Missing Data Imputation in Gene Expression Dataset Using Extra Tree Regressor and a Genetic Algorithm
    Amarjeet Yadav, Akhtar Rasool, Aditya Dubey, Nilay Khare · 2023 · Lecture notes in electrical engineering
  38. Self-Expressive Network-Based Subspace Clustering for Deep Embedding
    Tingting Leng, Ling Zhao, Xiaolong Xiong, Peng Cheng, Jun Zhou · 2023 · Frontiers in artificial intelligence and applications
  39. Modelling Gene Networks by a Dynamic Bayesian Network-Based Model with Time Lag Estimation
    Lian En Chai, Mohd Saberi Mohamad, Safaai Deris, Chuii Khim Chong, Yee Wen Choon · 2013 · Lecture notes in computer science
  40. Genome Scanning for Quantitative Trait Loci
    Shizhong Xu · 2012 · Springer eBooks
  41. Combined expression data with missing values and gene interaction network analysis: a Markovian integrated approach
    Juliette Blanchet, Matthieu Vignes · 2007 · IEEE International Conference on Bioinformatics and Bioengineering (BIBE)
  42. Time-Course Microarray Data Analysis
    Shizhong Xu · 2012 · Springer eBooks
  43. Major Gene Detection
    Shizhong Xu · 2012 · Springer eBooks
  44. Bayesian Multiple QTL Mapping
    Shizhong Xu · 2012 · Springer eBooks
  45. Statistical methods for the analysis of RNA sequencing data
    Man-Kee Chu · 2014 · Scholarship@Western (Western University)
  46. A Direct Clustering Method for Imperfect Microarray Data without Imputation
    Taegyun Yun, Suyoung Kim, Taeho Hwang, Gwan‐Su Yi · 2007 · Frontiers in Convergence of Bioscience and Information Technologies
  47. Advanced Clustering Techniques
    Sumeet Dua, Pradeep Chowriappa · 2012 · CRC Press eBooks
  48. Advanced Clustering Techniques
    2012 · CRC Press eBooks
  49. Research and Application Based on Probability Statistics and Gaussian Mixture Clustering
    Siyue Wang, Fangtong Liu, Xiaojun Niu · 2024 · International Conference on Computers, Information Processing and Advanced Education (CIPAE)
  50. Microarray Differential Expression Analysis
    Shizhong Xu · 2012 · Springer eBooks
  51. Statistical Dependence in Imputed High-Dimensional Data for a Colorectal Cancer Study
    Anvar Suyundikov · 2021 · Digital Commons - USU (Utah State University)
  52. Hierarchical Clustering of Microarray Data
    Shizhong Xu · 2012 · Springer eBooks
  53. Identifying Functional Modules of Diffuse Large B-cell Lymphoma Gene Co-expression networks by Hierarchical Clustering Method Based on Random Matrix Theory
    Jian Chen, Kaiwang Zhang, Jianxin Zhong · 2011 · Nano Biomedicine and Engineering
  54. QTL Mapping in Other Populations
    Shizhong Xu · 2012 · Springer eBooks
  55. Discovery of tourists' movement patterns in venice from public transport data
    Héctor Cogollos-Adrián, Santiago Porras, Bruno Baruque, Alessandra Raffaetà, Filippo Zanatta · 2022 · ACM Symposium on Applied Computing
  56. Missing values imputation for cDNA microarray data using ranked covariance vectors
    Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence Sean Dooley · 2006 · International Journal of Hybrid Intelligent Systems
  57. Bioinformatics and Public Access Resources
    Yue Wang, Huai Li, David Jonathan Miller, Jianhua Xuan · 2010
  58. Context-specific independence mixture models for cluster analysis of biological data
    Benjamin Georgi · 2009 · Universitätsbibliothek der FU Berlin Hochschulschriftenstelle u. Dokumentenserver
  59. Weighted Local Least Squares Imputation Method for Missing Value Estimation
    Wai‐Ki Ching, Kwai-Wa Cheng, Li-Min Li, Nam‐Kiu Tsing, Alice S.T. Wong · 2007
  60. Heuristic Non Parametric Collateral Missing Value Imputation: A Step Towards Robust Post-genomic Knowledge Discovery
    Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence Sean Dooley, Ross L. Coppel · 2008 · Lecture notes in computer science
  61. Semi-Parametric Model-Based Clustering for DNA Microarray Data
    Bohyung Han, L.S. Davis · 2006 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  62. An Imputation-Consistency Algorithm for High-Dimensional Missing Data Problems and Beyond
    Faming Liang, Bochao Jia, Jingnan Xue, Qizhai Li, Ye Luo · 2018 · arXiv (Cornell University)
  63. Missing Value Estimation Algorithms on Cluster and Representativeness Preservation of Gene Expression Microarray Data
    Marie Li · 2018 · arXiv (Cornell University)
  64. Random Model Approach to QTL Mapping
    Shizhong Xu · 2012 · Springer eBooks
  65. Gene-Specific Analysis of Variances
    Shizhong Xu · 2012 · Springer eBooks
  66. Mapping Segregation Distortion Loci
    Shizhong Xu · 2012 · Springer eBooks
  67. Empirical Bayesian QTL Mapping
    Shizhong Xu · 2012 · Springer eBooks
  68. Ocena skokowych zmian procesu losowego z wykorzystaniem algorytmu Expectation-Maximization (EM) na przykładzie zmiennych w czasie profili ekspresji genów bakterii deinococcus radiodurans
    Maria Łuszczkiewicz-Piątek, Andrzej Polański · 2006 · Zeszyty Naukowe. Automatyka / Politechnika Śląska
  69. Model-Based Clustering of Microarray Data
    Shizhong Xu · 2012 · Springer eBooks
  70. Inferring E. coli SOS Response Pathway from Gene Expression Data Using IST-DBN with Time Lag Estimation
    Lian En Chai, Mohd Saberi Mohamad, Safaai Deris, Chuii Khim Chong, Yee Wen Choon · 2013 · Studies in computational intelligence
  71. Interval Mapping for Ordinal Traits
    Shizhong Xu · 2012 · Springer eBooks
  72. DTW-GO Based Microarray Time Series Data Analysis for Gene-Gene Regulation Prediction
    Andy C. Yang, Hui-Huang Hsu · 2011 · Studies in computational intelligence
  73. EFFECTS OF MISSING VALUE IMPUTATION ON DOWN-STREAM ANALYSES IN MICROARRAY DATA
    Sunghee Oh · 2009 · D-Scholarship@Pitt (University of Pittsburgh)
  74. Pattern recognition using boundary data of component distributions
    Masako Omachi, Shinichiro Omachi, Hirotomo Aso, Tsuneo Saito · 2010 · Computers & Industrial Engineering
  75. Statistical Applications in Genetics and Molecular Biology
    Guri Feten, Trygve Almøy, ARE HALVOR AASTVEIT · 2005
  76. Multiscale Integration of Toxicokinetic and Toxicodynamic Processes: From Cell and Tissue to Organ and “Whole Body” Models
    Panos G. Georgopoulos, Sastry Isukapalli, Ioannis P. Androulakis, Marianthi Ierapetritou, William Jeffrey Welsh · 2009 · General, Applied and Systems Toxicology
  77. Quantitative Trait-Associated Microarray Data Analysis
    Shizhong Xu · 2012 · Springer eBooks
  78. Mapping Expression Quantitative Trait Loci
    Shizhong Xu · 2012 · Springer eBooks
  79. Factor Analysis of Microarray Data
    Shizhong Xu · 2012 · Springer eBooks
  80. Basic Concepts of Quantitative Genetics
    Shizhong Xu · 2012 · Springer eBooks
  81. SelvarClustMV: Variable selection approach in model-based clustering allowing for missing values Titre : SelvarClustMV : sélection de variables pour la classification non supervisée avec données manquantes
    Cathy Maugis-Rabusseau, Marie‐Laure Martin‐Magniette, Sandra Pelletier · 2012
  82. Acquisition of Accurate Gene Expression Information from Microarray Measurements
    Shuang Jia, Shouguo Gao, Martin J. Hessner, Xujing Wang · 2007 · WORLD SCIENTIFIC eBooks
  83. A GRAPH REGULARIZATION BASED APPROACH FOR GENE SCORING AND GENE SET SELECTION AS APPLIED TO GLIOBLASTOMA MULTIFORME
    Daphne Koller · 2012
  84. Deep Clustering based on Bi-Space Association Learning
    Hao Huang, Shinjae Yoo, Chenxiao Xu · 2021 · ACM International Conference on Multimedia (ACM MM)
  85. Classification of Tissue Samples Using Microarrays
    Shizhong Xu · 2012 · Springer eBooks
  86. Multipoint Analysis of Mendelian Loci
    Shizhong Xu · 2012 · Springer eBooks
  87. Segregation Analysis
    Shizhong Xu · 2012 · Springer eBooks
  88. Interval Mapping
    Shizhong Xu · 2012 · Springer eBooks
  89. Current awareness on comparative and functional genomics
    2004 · Comparative and Functional Genomics
  90. Map Functions
    Shizhong Xu · 2012 · Springer eBooks
  91. Biological response to environmental stress. Environmental similarity and hierarchical, scale-dependant segregation of biotic signatures for prediction purposes
    David Bedoya Ribó · 2008
  92. A DIAGNOSTICS AND PROGNOSTICS FRAMEWORK FOR MULTI-COMPONENT SYSTEMS WITH WEAR INTERACTIONS: APPLICATION TO A GEARBOX-PLATFORM
    Roy Assaf, Phuc Do, Phil Scarf · 2022 · Pesquisa Operacional
  93. Adoption of Artificial Intelligence in Human and Clinical Genomics
    Deepak Kumar Jain, Li Zhang, Guangming Zhang, Piyush Kumar Shukla · 2023 · Frontiers research topics
  94. Investigação do uso de clusterização para o gerenciamento de perdas técnicas em alimentadores de distribuição de energia elétrica
    Gabriel Fraga Torrezan · 2022
  95. Short-term muscle loss after gastrointestinal cancer surgery: A two-phase study
    Xinyi Xu · 2024 · Queensland University of Technology
  96. Data Cleaning
    Barbara Calabrese · 2019 · Elsevier eBooks
  97. Use of artificial intelligence and machine learning for multiomics
    Kanita Karađuzović-Hadžiabdić, Aleksandra Gruca · 2025 · Elsevier eBooks
  98. Genetic Map Construction
    Shizhong Xu · 2012 · Springer eBooks
  99. REDUCING EDGE NETWORK LATENCY WITH SPATIAL CLUSTERING OF SERVICE NODES: A COMPARATIVE EVALUATION
    Alsarhan Mohammed Qahtan · 2026 · Telecommunications and Radio Engineering
  100. Tabular data integration for multidimensional data warehouse
    Yuzhao Yang · 2022