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EnsemBic: An effective ensemble of biclustering to identify potential biomarkers of esophageal squamous cell carcinoma.
Baruah, Bikash; Dutta, Manash P; Banerjee, Subhasish; Bhattacharyya, Dhruba K.
Afiliación
  • Baruah B; Dept. of Computer Science and Engineering, NIT Arunachal Pradesh, India.
  • Dutta MP; Dept. of Computer Science & Information Technology, Cotton University, Guwahati, Assam, India. Electronic address: manashpdutta@gmail.com.
  • Banerjee S; Dept. of Computer Science and Engineering, NIT Arunachal Pradesh, India.
  • Bhattacharyya DK; Dept. of Computer Science and Engineering, Tezpur University, School of Engineering, Tezpur, India.
Comput Biol Chem ; 110: 108090, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38759483
ABSTRACT
The development of functionally enriched and biologically competent biclustering algorithm is essential for extracting hidden information from massive biological datasets. This paper presents a novel biclustering ensemble called EnsemBic based on p-value, which calculates the functional similarity of genetic associations. To validate the effectiveness and robustness of EnsemBic, we apply three well-known biclustering techniques, viz. Laplace Prior, iBBiG, and xMotif to implement EnsemBic and have been compared using different leading parameters. It is observed that the EnsemBic outperforms its competing algorithms in several prominent functional and biological measures. Next, the biclusters obtained from EnsemBic are used to identify potential biomarkers of Esophageal Squamous Cell Carcinoma (ESCC) by exploring topological and biological relevance with reference to the elite genes, attained from genecards. Finally, we discover that the genes F2RL3, APPL1, CALM1, IFNGR1, LPAR1, ANGPT2, ARPC2, CGN, CLDN7, ATP6V1C2, CEACAM1, FTL, PLAU,PSMB4, and EPHB2 carry both the topological and biological significance of previously established ESCC elite genes. Therefore, we declare the aforementioned genes as potential biomarkers of ESCC.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Esofágicas / Biomarcadores de Tumor / Carcinoma de Células Escamosas de Esófago Límite: Humans Idioma: En Revista: Comput Biol Chem Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA / QUIMICA Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Esofágicas / Biomarcadores de Tumor / Carcinoma de Células Escamosas de Esófago Límite: Humans Idioma: En Revista: Comput Biol Chem Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA / QUIMICA Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido