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Dr. Gerard G. Dumancas
  • Male
  • United States
  • Chemistry Instructor
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Dr. Gerard G. Dumancas and Renato Zenobi are now friends
Mar 9, 2015
Dr. Gerard G. Dumancas and Innovation Director are now friends
Mar 4, 2015
Dr. Gerard G. Dumancas and Laszlo Prokai are now friends
Feb 16, 2015
Dr. Gerard G. Dumancas updated their profile
Dec 27, 2014
A blog post by Dr. Gerard G. Dumancas was featured

Submit Papers: Bioinformatics & Biology Insights

We invite you to submit a paper for a supplement to be published in Bioinformatics and Biology Insights in the next twelve months. The journal is extensively indexed and all published papers appear in Pubmed. The supplement focuses on current developments in machine learning techniques in biological data mining. In this supplement, we will discuss the use of machine-learning techniques to extract meaningful information from genetic and clinical data with the primary objective of answering…See More
Oct 19, 2014
Dr. Gerard G. Dumancas is now friends with Faculty Row Support and Faculty Row Director
Oct 17, 2014
Dr. Gerard G. Dumancas posted a blog post

Submit Papers: Bioinformatics & Biology Insights

We invite you to submit a paper for a supplement to be published in Bioinformatics and Biology Insights in the next twelve months. The journal is extensively indexed and all published papers appear in Pubmed. The supplement focuses on current developments in machine learning techniques in biological data mining. In this supplement, we will discuss the use of machine-learning techniques to extract meaningful information from genetic and clinical data with the primary objective of answering…See More
Oct 17, 2014
Dr. Gerard G. Dumancas is now a member of FacultyRow
Oct 5, 2014

Profile Information

Job Title
Chemistry Instructor
School
Oklahoma Baptist University
Areas of Expertise/Research Interests (List All Please)
1. Proficient in the use of bioinformatics tools for analyzing genetic
(next generation sequencing), microbiome, viral, mitochondrial,
and clinical data:
• PLINK: quality control, pruning, population stratification, logistic
and linear regression associations
• Impute2/gtool: genetic data imputation
• Efficient and Parallelizable Association Container Toolbox
(EPACTS), Emmax: rare, common, and single variant tests
• Locus Zoom, Encode Genome Browser, SNPnexus, Scandb.org:
genetic data regional plot viewing
• Genomatix, GenGen: genetic pathway analyses
• Haploview: haplotype association tests
• HIBAG: imputation of HLA allele types
• Genetic power calculator, GWAPower: power calculations
• HMP: microbiome power calculations
• Virusfinder: identification of virus sequences and their integration
sites in the human genome
• Mitoseek: extraction of mitochondrial DNA information
• Amelia: general imputation of missing data
• R and Prism: general statistical analyses
• Mplus: structural equation modeling
• Galgo: genetic algorithm feature selection and classification
prediction
• Encore: Genetic network analyses

2. Proficient in the use of chemometric techniques for examining
spectral data:
• Chemometrics Toolbox (MATLAB): direct calibration, indirect
calibration, ridge regression, partial least squares, principal
component regression
• Genetic Algorithm Toolbox: feature selection
• JMP: pattern recognition, artificial neural networks, mixture
designs, cluster analyses

3. Skilled in the use of several analytical instruments:
• Fourier transform infrared spectroscopy (FTIR)
• Atomic absorption spectrophotometer (AAS)
• Ultraviolet visible spectroscopy (UV-VIS)
• Gas chromatography mass spectrophotometer (GC-MS)
• Gas chromatography flame ionization detector (GC-FID)
• High performance liquid chromatography (HPLC)

http://dumancas.weebly.com

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Dr. Gerard G. Dumancas's Blog

Submit Papers: Bioinformatics & Biology Insights

We invite you to submit a paper for a supplement to be published in Bioinformatics and Biology Insights in the next twelve months. The journal is extensively indexed and all published papers appear in Pubmed. The supplement focuses on current developments in machine learning techniques in biological data mining. In this supplement, we will discuss the use of machine-learning techniques to extract meaningful information from genetic and clinical data with the primary objective of…

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Posted on October 17, 2014 at 7:45pm

 
 
 

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