Hybrid Conferencee

International Conference on Statistical Genetics and Methodology (ICSGM - 27)

30th - 31st March 2027 | Malaga, Spain

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Malaga. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Malaga event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Malaga conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Malaga, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Malaga."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICSGM aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Statistics,Genetics, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Statistical methods in genetic epidemiology
02
Bayesian approaches to genetic analysis
03
Genome-wide association studies methodology
04
Statistical models for complex traits
05
Data integration in statistical genetics
06
Statistical genetics of rare diseases
07
Machine learning applications in genetics
08
Statistical challenges in genomic data
09
Population genetics and statistical inference
10
Quantitative trait locus mapping techniques
11
Statistical genetics in personalized medicine
12
Ethical issues in genetic data analysis
13
Statistical approaches to gene-environment interactions
14
Longitudinal data analysis in genetics
15
Statistical tools for genomic prediction
16
Genetic epidemiology of infectious diseases
17
Statistical methods for gene expression analysis
18
Genetic data visualization techniques
19
Statistical genetics in agriculture
20
Future trends in statistical genetics