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» Selection of DNA Markers
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MICCAI
2010
Springer
14 years 8 months ago
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
Li Shen, Yuan Qi, Sungeun Kim, Kwangsik Nho, Jing ...
BMCBI
2007
159views more  BMCBI 2007»
14 years 9 months ago
Computational genes: a tool for molecular diagnosis and therapy of aberrant mutational phenotype
Background: A finite state machine manipulating information-carrying DNA strands can be used to perform autonomous molecular-scale computations at the cellular level. Results: We ...
Israel Mark Martínez-Pérez, Gong Zha...
BMCBI
2004
120views more  BMCBI 2004»
14 years 9 months ago
Optimal cDNA microarray design using expressed sequence tags for organisms with limited genomic information
Background: Expression microarrays are increasingly used to characterize environmental responses and hostparasite interactions for many different organisms. Probe selection for cD...
Yian A. Chen, David J. Mckillen, Shuyuan Wu, Matth...
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BMCBI
2008
129views more  BMCBI 2008»
14 years 9 months ago
Prediction of the outcome of preoperative chemotherapy in breast cancer using DNA probes that provide information on both comple
Background: DNA microarray technology has emerged as a major tool for exploring cancer biology and solving clinical issues. Predicting a patient's response to chemotherapy is...
René Natowicz, Roberto Incitti, Euler Guima...
DNA
2003
Springer
101views Bioinformatics» more  DNA 2003»
15 years 2 months ago
A Lab-on-a-Chip Module for Bead Separation in DNA-Based Concept Learning
Affinity separation with magnetic beads is an important and widely used technique for DNA computing. We have designed and implemented an experimental lab-on-a-chip module for affin...
Hee-Woong Lim, Hae-Man Jang, Sung-Mo Ha, Young-Gyu...