• Publications
  • Influence
Cryptococcus neoformans Chemotyping by Quantitative Analysis of 1H Nuclear Magnetic Resonance Spectra of Glucuronoxylomannans with a Computer-Simulated Artificial Neural Network
ABSTRACT The complete assignment of the proton chemical shifts obtained by nuclear magnetic resonance (NMR) spectroscopy of de-O-acetylated glucuronoxylomannans (GXMs) from CryptococcusExpand
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Pattern Recognition Techniques in Microarray Data Analysis
Abstract: Recent development of technologies (e.g., microarray technology) that are capable of producing massive amounts of genetic data has highlighted the need for new pattern recognitionExpand
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Empirical comparison of cross-platform normalization methods for gene expression data
TLDR
Cross-platform normalization methods are compared based on inter-platform concordance and on the consistency of gene lists obtained with transformed data. Expand
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A Gene Wiki for Community Annotation of Gene Function
This manuscript describes the creation of comprehensive gene wiki, seeded with data from public domain sources, which will enable and encourage community annotation of gene function.
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Systematic Review of Mutations in Pyrazinamidase Associated with Pyrazinamide Resistance in Mycobacterium tuberculosis Clinical Isolates
ABSTRACT Pyrazinamide (PZA) is an important first-line drug in the treatment of tuberculosis (TB) and of significant interest to the HIV-infected community due to the prevalence of TB-HIV coinfectionExpand
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Novel katG mutations causing isoniazid resistance in clinical M. tuberculosis isolates
We report the discovery and confirmation of 23 novel mutations with previously undocumented role in isoniazid (INH) drug resistance, in catalase-peroxidase (katG) gene of Mycobacterium tuberculosisExpand
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Improving reverse vaccinology with a machine learning approach.
Reverse vaccinology aims to accelerate subunit vaccine design by rapidly predicting which proteins in a pathogenic bacterial proteome are putative protective antigens. Support vector machineExpand
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Pattern recognition techniques in microarray data analysis: a survey.
  • F. Valafar
  • Medicine
  • Annals of the New York Academy of Sciences
  • 2002
Recent development of technologies (e.g., microarray technology) that are capable of producing massive amounts of genetic data has highlighted the need for new pattern recognition techniques that canExpand
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The Global Consortium for Drug-resistant Tuberculosis Diagnostics (GCDD): design of a multi-site, head-to-head study of three rapid tests to detect extensively drug-resistant tuberculosis
BackgroundDrug-resistant tuberculosis (DR-TB) remains a threat to global public health, owing to the complexity and delay of diagnosis and treatment. The Global Consortium for Drug-resistantExpand
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Functional Connectivities Are More Informative Than Anatomical Variables in Diagnostic Classification of Autism
TLDR
We combined anatomical MRI (aMRI), diffusion weighted imaging (DWI), and functional connectivity MRI (fcMRI), using conditional random forest (CRF) for supervised learning to compare how informative each modality was in diagnostic classification. Expand
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