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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2018

A study on the relevance of feature selection methods in microarray data

The record

Type
Publication
Date
1 January 2018
Level
National
Journal
Open Bioinformatics Journal
Volume
11
Issue
1
Pages
117-139
Published
1 January 2018
DOI
10.2174/1875036201811010117
Scopus ID
85051251741
ISSN
18750362
Authors
3
Open access
Yes
Citations
41
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetPrimaryHigh confidenceJudged

    Review of feature selection algorithms for microarray data analysis advancing data mining and bioinformatics research methodologies.

    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

Viksit Bharat @2047

  1. vb-3 Innovation, Science and Technology

    ThemePrimaryHigh confidenceJudged

    Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 9 label. Review of feature selection algorithms for microarray data analysis advancing data mining and bioinformatics research methodologies.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “A study on the relevance of feature selection methods in microarray data”. Kortex.

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A study on the relevance of feature selection methods in microarray data · Kortex