Publication2017
An ensemble model using genetic algorithm for feature selection and rule mining using apriori and FP-growth from cancer microarray data
The record
- Type
- Publication
- Date
- 1 January 2017
- Level
- National
- Journal
- International Journal of Applied Engineering Research
- Volume
- 12
- Issue
- 10
- Pages
- 2391-2408
- Published
- 1 January 2017
- Scopus ID
- 85020878283
- ISSN
- 09734562
- Authors
- 3
- Open access
- No
- Citations
- 2
- International co-authorship
- No
- Co-author countries
- 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 Ensure healthy lives and promote well-being for all at all ages
Genetic algorithm ensemble feature selection identifies cancer-related genes from microarray data
- 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
Advanced computational genomics research supports understanding of cancer molecular biology
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
Cancer gene discovery research supports development of targeted therapies and precision medicine
- 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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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “An ensemble model using genetic algorithm for feature selection and rule mining using apriori and FP-growth from cancer microarray data”. Kortex.