1 Jan 2026
Deep Early Identification of Intestinal Cancer Based on SNP Protein Mutations of the Tumor Suppressor Genes APC and TP53Publisher siteActive, last published 2026
In fractal and dna sequence analysis
Imen
Messaoudi
Scholar“Research focused on Fractal and DNA sequence analysis and adjacent fields.”
University of Tunis El Manar
Tunisia
Claim Your ProfileTunisia9
H-index
217
Citations
Imen has not officially claimed their profile. If you are Imen, claim it free.
Claim Your Profile
Pioneer
LOCKED
Pathfinder
LOCKED
Scholar
EARNED
Innovator
LOCKED
Inventor
LOCKED
Catalyst
LOCKED
Expert
UPGRADE
01 · About the work
What I study
men Messaoudi is a researcher working on Fractal and DNA sequence analysis. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Imen's work has been cited 217 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Fractal and DNA sequence analysis×22RNA and protein synthesis mechanisms×16Machine Learning in Bioinformatics×15Genomics and Phylogenetic Studies×11MicroRNA in disease regulation×5
04 · Where I am
Affiliations
Affiliation on published researchTunis University, TunisiaDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
3 works19 Nov 2025
Boosting Cancer Disease Detection Based on SVM and TwinSVM Classifications of MIRNA ExpressionPublisher site31 Oct 20232cites
Human disease prediction based on deep and machine learning classification of genes with miRNA binding sitesPublisher siteMultimedia Tools and Applications, Machine Learning in Bioinformatics
Expert Academic Profiles go further
Citation trend analytics, exportable publication records, and direct enquiry routing from industry and funders.
Are you Imen?
Claim it to verify your details, connect with industry partners, and explore Fractional Domain Expert opportunities through MARATTO™.
African researchers are full of potential that too often goes unrecognised. Your MARATTO™ profile gives your work the commercial pathway it deserves.
Claim Your Profile
Free to claim · takes a minute to verify it’s you