Publication2026
Mocoa-fs: a multi-objective feature selection approach for genetic cancer classification using microarray data
The record
- Type
- Publication
- Date
- 1 April 2026
- Level
- International — held abroad
- Journal
- Evolutionary Intelligence
- Volume
- 19
- Issue
- 2
- Published
- 1 April 2026
- DOI
- 10.1007/s12065-026-01177-4
- Scopus ID
- 105035254001
- ISSN
- 18645909
- Authors
- 6
- Open access
- No
- Citations
- 1
- International co-authorship
- Yes
- Co-author countries
- GR, IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
3.4 Reduce premature mortality from non-communicable diseases and promote mental health and well-being
Develops multi-objective feature selection approach using crayfish optimization for microarray gene expression data analysis in cancer classification.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Bioinformatics research advancing multi-objective optimization algorithms for identifying informative gene subsets in cancer diagnosis applications.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing
Structural signal: co-authorship outside India.
- Rule-derived
- Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
- Produced by
- sdg17-structural-v1, under kortex-publication-v1
Viksit Bharat @2047
vb-3.1 Research and development
Research capacity in computational genomics through novel optimization techniques for improved cancer biomarker discovery and classification.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “Mocoa-fs: a multi-objective feature selection approach for genetic cancer classification using microarray data”. Kortex.