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Hybrid Event

6th - 7th July 2026 | Vatican City, Vatican City

International Conference on Statistical Methods for Computational Biology (ICSMCB - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICSMCB) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Statistics, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.