Hybrid Conferencee

International Conference on Statistical Methods for Computational Biology (ICSMCB - 27)

17th - 18th June 2027 | Rijeka, Croatia
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

Journal consideration and publication are subject to editorial review, peer review and applicable journal policies.

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 Rijeka. 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 Rijeka 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 Rijeka conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Rijeka, 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 Rijeka."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICSMCB 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, 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 computational biology
02
Applications of bioinformatics in statistics
03
Statistical challenges in biological research
04
Genomic data analysis techniques
05
Statistical modeling in epidemiology studies
06
Ethics in computational biology research
07
Statistical software for biological analysis
08
Data visualization in computational biology
09
Statistical methods for clinical trials
10
Meta-analysis of biological findings
11
Future trends in statistical biology
12
Collaborative approaches in bioinformatics
13
Statistical power in biological studies
14
Applications of machine learning in biology
15
Statistical methods for systems biology
16
Data management techniques in bioinformatics
17
Statistical analysis of high-throughput data
18
Statistical learning in genomics research
19
Applications of statistics in public health
20
Statistical methods for ecological studies