Computational and Mathematical Methods in Medicine

Statistical Genetics and Its Applications in Medical Studies


Publishing date
27 Dec 2013
Status
Published
Submission deadline
09 Aug 2013

Lead Editor

1National Human Genome Center, School of Medicine, Howard University, 2216 Sixth Street NW, Suite 206, Washington, DC 20059, USA

2Department of Statistics and Actuarial Science, University of Western Ontario, London, ON, Canada

3Department of Mathematics and Statistics, Georgia State University, Atlanta, GA 30303-3083, USA

4Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China


Statistical Genetics and Its Applications in Medical Studies

Description

Statistical genetics is a classical branch of applied probability and statistics, which has recently gained much momentum, due to the significant breakthroughs in genetics. With the modern techniques, new methods, and significantly increased data information, it is imperative to study the relationship between diseases and other traits and genetic susceptibilities in an unprecedented manner. This area is among the hottest topics in applied statistics, applied mathematics, biological/medical studies, and other related sciences.

The main aim of this special issue will focus on the new applications of existing computational, mathematical, and statistical methods in genetic disease study. The special issue will become an international forum for researchers to discuss the most recent developments and ideas in the field. Potential topics include, but are not limited to:

  • Case-control genetic association
  • Common and rare variants
  • DNA and chromosome
  • Population genetics
  • Recombination and linkage
  • SNP analysis
  • New statistical methods in diagnostic medicine
  • Gene expression
  • Gene mutation
  • Gene regulation
  • Genetic diseases: cancer, cardiovascular, diabetes, HIV, obesity, schizophrenia, and so forth

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/cmmm/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/cmmm/sg/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2014
  • - Article ID 712073
  • - Editorial

Statistical Genetics and Its Applications in Medical Studies

Ao Yuan | Wenqing He | ... | Qizhai Li
  • Special Issue
  • - Volume 2014
  • - Article ID 194202
  • - Research Article

On Coalescence Analysis Using Genealogy Rooted Trees

Ao Yuan | Gengsheng Qin | ... | Qizhai Li
  • Special Issue
  • - Volume 2013
  • - Article ID 420412
  • - Research Article

Applications of Bayesian Gene Selection and Classification with Mixtures of Generalized Singular -Priors

Wen-Kuei Chien | Chuhsing Kate Hsiao
  • Special Issue
  • - Volume 2013
  • - Article ID 917502
  • - Research Article

Modified Logistic Regression Models Using Gene Coexpression and Clinical Features to Predict Prostate Cancer Progression

Hongya Zhao | Christopher J. Logothetis | ... | Jianguo Dai
  • Special Issue
  • - Volume 2013
  • - Article ID 610297
  • - Research Article

Power and Stability Properties of Resampling-Based Multiple Testing Procedures with Applications to Gene Oncology Studies

Dongmei Li | Timothy D. Dye
  • Special Issue
  • - Volume 2013
  • - Article ID 854710
  • - Research Article

Transcriptional Protein-Protein Cooperativity in POU/HMG/DNA Complexes Revealed by Normal Mode Analysis

Debby D. Wang | Hong Yan
  • Special Issue
  • - Volume 2013
  • - Article ID 436493
  • - Research Article

Variable Selection in ROC Regression

Binhuan Wang
  • Special Issue
  • - Volume 2013
  • - Article ID 843563
  • - Research Article

Robust Joint Analysis with Data Fusion in Two-Stage Quantitative Trait Genome-Wide Association Studies

Dong-Dong Pan | Wen-Jun Xiong | ... | Wing-Kam Fung
  • Special Issue
  • - Volume 2013
  • - Article ID 732989
  • - Research Article

A Statistical Method for Synthesizing Meta-Analyses

Liansheng Larry Tang | Michael Caudy | Faye Taxman
  • Special Issue
  • - Volume 2013
  • - Article ID 340678
  • - Research Article

SNP Selection in Genome-Wide Association Studies via Penalized Support Vector Machine with MAX Test

Jinseog Kim | Insuk Sohn | ... | Sin-Ho Jung
Computational and Mathematical Methods in Medicine
 Journal metrics
Acceptance rate34%
Submission to final decision77 days
Acceptance to publication41 days
CiteScore1.840
Impact Factor1.563
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