Lista de obras - Alan Wee-chung Liew - Dominio Público Uruguay

A new geometric biclustering algorithm based on the Hough transform for analysis of large-scale microarray data.

artículo científico publicado en 2007

A stochastic automaton model for simulating kinesin processivity

artículo científico publicado en 2014

Aggregation of Classifiers: A Justifiable Information Granularity Approach

artículo científico publicado en 2018

An adaptive spatial fuzzy clustering algorithm for 3-D MR image segmentation.

artículo científico publicado en 2003

An interactive user interface prototype design for enhancing on-site museum and art gallery experience through digital technology

Brain symmetry plane detection based on fractal analysis.

artículo científico publicado en 2013

Classification of short human exons and introns based on statistical features

artículo científico publicado en 2003

Cluster analysis of gene expression data based on self-splitting and merging competitive learning.

artículo científico publicado en 2004

Computational modeling of kinesin stepping.

artículo científico publicado en 2014

Discovering biclusters in gene expression data based on high-dimensional linear geometries

artículo científico publicado en 2008

Dominant spectral component analysis for transcriptional regulations using microarray time-series data.

artículo científico publicado en 2004

Effective statistical features for coding and non-coding DNA sequence classification for yeast, C. elegans and human

scientific article published on 01 January 2005

Eukaryotic promoter prediction based on relative entropy and positional information.

artículo científico publicado en 2007

General retinal vessel segmentation using regularization-based multiconcavity modeling

artículo científico publicado en 2010

Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate visualization.

artículo científico publicado en 2008

Microarray Gene Expression Data Analysis

article

Microarray missing data imputation based on a set theoretic framework and biological knowledge

artículo científico publicado en 2006

Missing value imputation for gene expression data: computational techniques to recover missing data from available information.

artículo científico publicado en 2010

Multiconstrained gene clustering based on generalized projections ⬇️

artículo científico publicado en 2010

Neurocognitive dysfunction and grey matter density deficit in children with obstructive sleep apnoea

artículo científico publicado en 2014

Parallelized evolutionary learning for detection of biclusters in gene expression data.

artículo científico publicado en 2011

Recent patents on biclustering algorithms for gene expression data analysis.

artículo científico publicado en 2011

Seed-based biclustering of gene expression data

artículo científico publicado en 2012

Spectral estimation in unevenly sampled space of periodically expressed microarray time series data

artículo científico publicado en 2007

Synthetic microbleeds generation for classifier training without ground truth

artículo científico publicado en 2021

Lista de obras de Alan Wee-chung Liew

A new geometric biclustering algorithm based on the Hough transform for analysis of large-scale microarray data.

A stochastic automaton model for simulating kinesin processivity

Aggregation of Classifiers: A Justifiable Information Granularity Approach

An adaptive spatial fuzzy clustering algorithm for 3-D MR image segmentation.

An interactive user interface prototype design for enhancing on-site museum and art gallery experience through digital technology

Brain symmetry plane detection based on fractal analysis.

Classification of short human exons and introns based on statistical features

Cluster analysis of gene expression data based on self-splitting and merging competitive learning.

Computational modeling of kinesin stepping.

Discovering biclusters in gene expression data based on high-dimensional linear geometries

Dominant spectral component analysis for transcriptional regulations using microarray time-series data.

Effective statistical features for coding and non-coding DNA sequence classification for yeast, C. elegans and human

Eukaryotic promoter prediction based on relative entropy and positional information.

General retinal vessel segmentation using regularization-based multiconcavity modeling

Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate visualization.

Microarray Gene Expression Data Analysis

Microarray missing data imputation based on a set theoretic framework and biological knowledge

Missing value imputation for gene expression data: computational techniques to recover missing data from available information.

Multiconstrained gene clustering based on generalized projections ⬇️

Neurocognitive dysfunction and grey matter density deficit in children with obstructive sleep apnoea

Parallelized evolutionary learning for detection of biclusters in gene expression data.

Recent patents on biclustering algorithms for gene expression data analysis.

Seed-based biclustering of gene expression data

Spectral estimation in unevenly sampled space of periodically expressed microarray time series data

Synthetic microbleeds generation for classifier training without ground truth