All Stories

  1. Cell type identification via convolutional neural networks and self-organizing maps on single-cell RNA-seq data

    Article • August 2021, ACM (Association for Computing Machinery)

    Luis Rueda, li zhou

  2. Deep Learning Approach for Breast Cancer InClust 5 Prediction based on Multiomics Data Integration

    Article • September 2020, ACM (Association for Computing Machinery)

    Luis Rueda, li zhou

  3. iSOM-GSN

    Article • September 2020, ACM (Association for Computing Machinery)

    Luis Rueda

  4. A Gene-disease-based Machine Learning Approach to Identify Prostate Cancer Biomarkers

    Article • September 2019, ACM (Association for Computing Machinery)

    Luis Rueda

  5. A Deep Learning Model to Identify a Genomic Signature Driving Sporadic Colorectal Cancer in Young Adults

    Article • September 2019, ACM (Association for Computing Machinery)

    Luis Rueda

  6. A Machine Learning Model for Discovery of Protein Isoforms as Biomarkers

    Article • October 2016, ACM (Association for Computing Machinery)

    Dr Iman Rezaeian, Luis Rueda

  7. Prediction of hormone and chemotherapy in breast cancer

    Article • F1000Research, August 2016, Faculty of 1000, Ltd.

    Dr Peter K Rogan, Luis Rueda, Dr Alioune Ngom, Mr Huy Q Pham, Dr Iman Rezaeian, Dr Peter K Rogan

  8. Cost-sensitive classification on class-balanced ensembles for imbalanced non-coding RNA data

    Article • May 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  9. A new clustering method using wavelet based probability density functions for identifying patterns in time-series data

    Article • May 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  10. Structural Domains in Prediction of Biological Protein-Protein Interactions

    Article • December 2015, Wiley

    Luis Rueda

  11. ZSeq 2.0: A fully automatic preprocessing method for next generation sequencing data

    Article • November 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  12. Obtaining biomarkers in cancer progression from outliers of time-series clusters

    Article • November 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  13. A new compact set of biomarkers for distinguishing among ten breast cancer subtypes

    Article • November 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  14. Classification via correlation-based feature grouping

    Article • August 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  15. A novel approach for finding informative genes in ten subtypes of breast cancer

    Article • August 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  16. Prediction of high-throughput protein-protein interactions based on protein sequence information

    Article • August 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  17. Pattern classification using a new border identification paradigm: The nearest border technique

    Article • Neurocomputing, June 2015, Elsevier

    Luis Rueda

  18. A Computational Domain-Based Feature Grouping Approach for Prediction of Stability of SCF Ligases

    Article • January 2015, Springer Science + Business Media

    Luis Rueda

  19. Breast cancer subtype identification using machine learning techniques

    Article • June 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  20. A new multi-level thresholding algorithm for finding peaks in ChIP-Seq data

    Article • June 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  21. A model based on minimotifs for classification of stable protein-protein complexes

    Article • May 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  22. CMT: A Constrained Multi-Level Thresholding Approach for ChIP-Seq Data Analysis

    Article • PLoS ONE, April 2014, PLOS

    Luis Rueda

  23. Computational analysis of the stability of SCF ligases employing domain information

    Article • January 2014, ACM (Association for Computing Machinery)

    Luis Rueda

  24. Using desolvation energies of structural domains to predict stability of protein complexes

    Article • Network Modeling Analysis in Health Informatics and Bioinformatics, September 2013, Springer Science + Business Media

    Luis Rueda

  25. A New Paradigm for Pattern Classification: Nearest Border Techniques

    Article • January 2013, Springer Science + Business Media

    Luis Rueda

  26. Identifying Informative Genes for Prediction of Breast Cancer Subtypes

    Article • January 2013, Springer Science + Business Media

    Luis Rueda

  27. MicroRNA identification using linear dimensionality reduction with explicit feature mapping

    Article • BMC Proceedings, January 2013, Springer Science + Business Media

    Luis Rueda

  28. The role of electrostatic energy in prediction of obligate protein-protein interactions

    Article • Proteome Science, January 2013, Springer Science + Business Media

    Luis Rueda

  29. A model to predict and analyze protein-protein interaction types using electrostatic energies

    Article • October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  30. Finding genomic features from enriched regions in ChlP-Seq data

    Article • October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  31. Prediction of crystal packing and biological protein-protein interactions

    Article • May 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  32. Using structural domains to predict obligate and non-obligate protein-protein interactions

    Article • May 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  33. A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm

    Article • January 2012, Springer Science + Business Media

    Luis Rueda

  34. A new algorithm for finding enriched regions in ChIP-Seq data

    Article • January 2012, ACM (Association for Computing Machinery)

    Luis Rueda

  35. Multi-level structural domain-domain interactions for prediction of obligate and non-obligate protein-protein interactions

    Article • January 2012, ACM (Association for Computing Machinery)

    Luis Rueda

  36. A Novel Recursive Feature Subset Selection Algorithm

    Article • October 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  37. Prediction of biological protein-protein interactions using atom-type and amino acid properties

    Article • PROTEOMICS, August 2011, Wiley

    Luis Rueda

  38. Biofilm Image Analysis

    Article • May 2011, Taylor & Francis

    Luis Rueda

  39. Alignment-Based Clustering of Gene Expression Time-Series Data

    Article • May 2011, Taylor & Francis

    Luis Rueda

  40. Image segmentation of biofilm structures using optimal multi-level thresholding

    Article • International Journal of Data Mining and Bioinformatics, January 2011, Inderscience Publishers

    Luis Rueda

  41. A fully automatic gridding method for cDNA microarray images

    Article • BMC Bioinformatics, January 2011, Springer Science + Business Media

    Luis Rueda

  42. New Gene Subset Selection Approaches Based on Linear Separating Genes and Gene-Pairs

    Article • January 2011, Springer Science + Business Media

    Luis Rueda

  43. Applications of Multilevel Thresholding Algorithms to Transcriptomics Data

    Article • January 2011, Springer Science + Business Media

    Luis Rueda

  44. Biological assessment of grid and spot detection in cDNA microarray images

    Article • January 2011, ACM (Association for Computing Machinery)

    Luis Rueda

  45. Analysis of obligate and non-obligate complexes using desolvation energies in domain-domain interactions

    Article • January 2011, ACM (Association for Computing Machinery)

    Luis Rueda

  46. A parameterless automatic spot detection method for cDNA microarray images

    Article • December 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  47. Protein-protein interaction prediction using desolvation energies and interface properties

    Article • December 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  48. Selection based heuristics for the non-unique oligonucleotide probe selection problem in microarray design

    Article • Pattern Recognition Letters, October 2010, Elsevier

    Luis Rueda

  49. Alignment versus variation methods for clustering microarray time-series data

    Article • July 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  50. Multi-class pairwise linear dimensionality reduction using heteroscedastic schemes

    Article • Pattern Recognition, July 2010, Elsevier

    Luis Rueda

  51. Missing value imputation methods for gene-sample-time microarray data analysis

    Article • May 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  52. New approaches to clustering microarray time-series data using multiple expression profile alignment

    Article • May 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  53. Biofilm growth kinetics of a monomethylamine producing Alphaproteobacteria strain isolated from an anaerobic reactor

    Article • Anaerobe, February 2010, Elsevier

    Luis Rueda

  54. Sub-grid and Spot Detection in DNA Microarray Images Using Optimal Multi-level Thresholding

    Article • January 2010, Springer Science + Business Media

    Luis Rueda

  55. Alignment-based versus variation-based transformation methods for clustering microarray time-series data

    Article • January 2010, ACM (Association for Computing Machinery)

    Luis Rueda

  56. Biofilm Image Segmentation Using Optimal Multi-level Thresholding

    Article • November 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  57. Clustering microarray time-series data using expectation maximization and multiple profile alignment

    Article • November 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  58. A Pattern Classification Approach to DNA Microarray Image Segmentation

    Article • January 2009, Springer Science + Business Media

    Luis Rueda

  59. An Evolutionary Approach for Correcting Random Amplified Polymorphism DNA Images

    Article • January 2009, Springer Science + Business Media

    Luis Rueda

  60. Microarray Time-Series Data Clustering via Multiple Alignment of Gene Expression Profiles

    Article • January 2009, Springer Science + Business Media

    Luis Rueda

  61. Efficient Optimal Multi-level Thresholding for Biofilm Image Segmentation

    Article • January 2009, Springer Science + Business Media

    Luis Rueda

  62. A theoretical comparison of two-class Fisher’s and heteroscedastic linear dimensionality reduction schemes

    Article • Pattern Recognition Letters, December 2008, Elsevier

    Luis Rueda

  63. Linear dimensionality reduction by maximizing the Chernoff distance in the transformed space

    Article • Pattern Recognition, October 2008, Elsevier

    Luis Rueda

  64. An efficient compression scheme for data communication which uses a new family of self-organizing binary search trees

    Article • International Journal of Communication Systems, October 2008, Wiley

    Luis Rueda

  65. Evolution strategy with greedy probe selection heuristics for the non-unique oligonucleotide probe selection problem

    Article • September 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  66. An Efficient Algorithm for Optimal Multilevel Thresholding of Irregularly Sampled Histograms

    Article • January 2008, Springer Science + Business Media

    Luis Rueda

  67. An Evolutionary Approach to the Non-unique Oligonucleotide Probe Selection Problem

    Article • January 2008, Springer Science + Business Media

    Luis Rueda

  68. Clustering Time-Series Gene Expression Data with Unequal Time Intervals

    Article • January 2008, Springer Science + Business Media

    Luis Rueda

  69. Clustering temporal gene expression data with unequal time intervals

    Article • December 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  70. A new approach to adaptive encoding data using self-organizing data structures

    Article • November 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  71. Advances in Image and Video Technology

    Article • January 2007

    Luis Rueda

  72. Progress in Pattern Recognition, Image Analysis and Applications

    Article • January 2007

    Luis Rueda

  73. Prediction of Biological Protein-protein Interaction Types Using Short-Linear Motifs

    Article • January 2007, ACM (Association for Computing Machinery)

    Luis Rueda

  74. Clustering Temporal Gene Expression Data with Unequal Time Intervals

    Article • January 2007, Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (ICST)

    Luis Rueda

  75. Geometric visualization of clusters obtained from fuzzy clustering algorithms

    Article • Pattern Recognition, August 2006, Elsevier

    Luis Rueda

  76. Stochastic learning-based weak estimation of multinomial random variables and its applications to pattern recognition in non-stationary environments

    Article • Pattern Recognition, March 2006, Elsevier

    Luis Rueda

  77. A New Profile Alignment Method for Clustering Gene Expression Data

    Article • January 2006, Springer Science + Business Media

    Luis Rueda

  78. Toward New Paradigms to Combating Internet Child Pornography

    Article • January 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Luis Rueda

  79. A Theoretical Comparison of Two Linear Dimensionality Reduction Techniques

    Article • January 2006, Springer Science + Business Media

    Luis Rueda

  80. A New Approach to Multi-class Linear Dimensionality Reduction

    Article • January 2006, Springer Science + Business Media

    Luis Rueda

  81. A New Linear Dimensionality Reduction Technique Based on Chernoff Distance

    Article • January 2006, Springer Science + Business Media

    Luis Rueda

  82. On the Performance of Chernoff-Distance-Based Linear Dimensionality Reduction Techniques

    Article • January 2006, Springer Science + Business Media

    Luis Rueda

  83. A one-dimensional analysis for the probability of error of linear classifiers for normally distributed classes

    Article • Pattern Recognition, August 2005, Elsevier

    Luis Rueda

  84. A formal analysis of why heuristic functions work

    Article • Artificial Intelligence, May 2005, Elsevier

    Luis Rueda

  85. A New Approach to Automatically Detecting Grids in DNA Microarray Images

    Article • January 2005, Springer Science + Business Media

    Luis Rueda

  86. A New Method for DNA Microarray Image Segmentation

    Article • January 2005, Springer Science + Business Media

    Luis Rueda

  87. Spot Detection and Image Segmentation in DNA??Microarray Data

    Article • Applied Bioinformatics, January 2005, Springer Science + Business Media

    Luis Rueda

  88. Fast Protein Superfamily Classification Using Principal Component Null Space Analysis

    Article • January 2005, Springer Science + Business Media

    Luis Rueda

  89. Efficient Adaptive Data Compression Using Fano Binary Search Trees

    Article • January 2005, Springer Science + Business Media

    Luis Rueda

  90. On Utilizing Stochastic Learning Weak Estimators for Training and Classification of Patterns with Non-stationary Distributions

    Article • January 2005, Springer Science + Business Media

    Luis Rueda

  91. An efficient approach to compute the threshold for multi-dimensional linear classifiers

    Article • Pattern Recognition, April 2004, Elsevier

    Luis Rueda

  92. A nearly-optimal Fano-based coding algorithm

    Article • Information Processing & Management, March 2004, Elsevier

    Luis Rueda

  93. An Improved Clustering-Based Approach for DNA Microarray Image Segmentation

    Article • January 2004, Springer Science + Business Media

    Luis Rueda

  94. Selecting the best hyperplane in the framework of optimal pairwise linear classifiers

    Article • Pattern Recognition Letters, January 2004, Elsevier

    Luis Rueda

  95. A New Family of Weak Estimators for Training in Non-stationary Distributions

    Article • January 2004, Springer Science + Business Media

    Luis Rueda

  96. New Bounds and Approximations for the Error of Linear Classifiers

    Article • January 2004, Springer Science + Business Media

    Luis Rueda

  97. On Families of New Adaptive Compression Algorithms Suitable for Time-Varying Source Data

    Article • January 2004, Springer Science + Business Media

    Luis Rueda

  98. On optimal pairwise linear classifiers for normal distributions: the d-dimensional case

    Article • Pattern Recognition, January 2003, Elsevier

    Luis Rueda

  99. A New Approach That Selects a Single Hyperplane from the Optimal Pairwise Linear Classifier

    Article • January 2003, Springer Science + Business Media

    Luis Rueda

  100. Resolving Minsky’s Paradox : The d-Dimensional Normal Distribution Case

    Article • January 2001, Springer Science + Business Media

    Luis Rueda

  101. The Foundational Theory of Optimal Bayesian Pairwise Linear Classifiers

    Article • January 2000, Springer Science + Business Media

    Luis Rueda

  102. Sub-grid Detection in DNA Microarray Images

    Article • Springer Science + Business Media

    Luis Rueda

  103. Stochastic Learning-based Weak Estimation and Its Applications

    Article • IGI Global

    Luis Rueda

  104. Processing Random Amplified Polymorphysm DNA Images Using the Radon Transform and Mathematical Morphology

    Article • Springer Science + Business Media

    Luis Rueda

  105. Chernoff-Based Multi-class Pairwise Linear Dimensionality Reduction

    Article • Springer Science + Business Media

    Luis Rueda

  106. Sequential Forward Selection Approach to the Non-unique Oligonucleotide Probe Selection Problem

    Article • Springer Science + Business Media

    Luis Rueda