Modified LDA Approach For Cluster Based Gene Classification Using K-Mean Method Article Swipe
Reva Joshi
,
Ritu Prasad
,
Pradeep Mewada
,
Praneet Saurabh
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.procs.2020.04.270
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.procs.2020.04.270
Role of gene expression in cancer and cellular process is a complex problem that continues to haunt and challenge researchers. Sheer number of genes and inter related biological processes make the process of identifying more complex. Gene classification and analysis is a very difficult task for data scientists, as it requires various data, information and facts for making different quality articulation. Latent Dirichlet Allocation (LDA) has shown its compatibility for investigation and quality articulation in solid and malignant growth tissues. LDA is used to connect or grouping of genomic data and results are subsequently used for investigation. This work proposes A Modified Latent Dirichlet Allocation (MLDA) for gene classification and achieves quality articulation. The proposed MLDA identify and group differentially expressed genes between healthy and cancer tissues of various types. Experimental results report better performance of MLDA as compared to current state of art methods over Breast and Lung cancer data sets.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.procs.2020.04.270
- OA Status
- diamond
- Cited By
- 13
- References
- 21
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3033348432Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.procs.2020.04.270Digital Object Identifier
- Title
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Modified LDA Approach For Cluster Based Gene Classification Using K-Mean MethodWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-01-01Full publication date if available
- Authors
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Reva Joshi, Ritu Prasad, Pradeep Mewada, Praneet SaurabhList of authors in order
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https://doi.org/10.1016/j.procs.2020.04.270Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.1016/j.procs.2020.04.270Direct OA link when available
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Latent Dirichlet allocation, Computer science, Artificial intelligence, Machine learning, Data mining, Pattern recognition (psychology), Topic modelTop concepts (fields/topics) attached by OpenAlex
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13Total citation count in OpenAlex
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2024: 1, 2023: 3, 2022: 4, 2021: 3, 2020: 2Per-year citation counts (last 5 years)
- References (count)
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21Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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