Advanced Computational Methods for Biocomputing and Bioimaging
Tuan D. Pham, Hong Yan, Denis Crane
Nova Science Publishers, 2007 - Computers - 215 pages
Computational models have been playing a significant role for the computer-based analysis of biological and biomedical data. Given the recent availability of genomic sequences and microarray gene expression data, there is an increasing demand for developing and applying advanced computational techniques for exploring these types of data such as functional interpretation of gene expression data, deciphering of how genes and proteins work together in pathways and networks, extracting and analysing phenotypic features of mitotic cells for high throughput screening of novel anti-mitotic drugs. Successful applications of advanced computational algorithms to solving modern life-science problems will make significant impacts on several important and promising issues related to genomic medicine, molecular imaging, and the scientific knowledge of the genetic basis of diseases.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Microarray Image Analysis and Spot Segmentation
A General FDRBased Computational Framework for Sample Size
7 other sections not shown
alignment alignment-free anchor spots applications approach automatic Bayesian block breast cancer calculation cDNA cDNA microarray cell phases change point classification rate clustering codeset complexity composite image correlation corresponding data sets defined detection differentially expressed digital mammograms dissimilarity distance distribution DNA computing DNA microarray DNA sequence entropy error estimate false discovery rate FDR control feature extraction feature selection filtering frequencies function fuzzy c-means fuzzy entropy GC-content gene expression Gene Ontology Genetic Algorithms genome sequences given Google grid hidden Markov models identify IEEE Journal mammograms Mammography Markov chain measure methodologies microarray data microarray experiments microarray image microarray studies microcalcifications Molecular morphological neural network normalization Nucleic Acids nucleotide obtained optimal parameters pixels probability problem proposed protein query recursive segmentation sample Section segmentation method sequence analysis snippet spikes spot segmentation spot separation statistical strands structure subregion subset techniques threshold image tuples values WebProt