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- research-articleJune 2023
Comprehensive analysis of lncRNA-mRNA co-expression networks in HPV-driven cervical cancer reveals the pivotal function of LINC00511-PGK1 in tumorigenesis
Computers in Biology and Medicine (CBIM), Volume 159, Issue Chttps://doi.org/10.1016/j.compbiomed.2023.106943Abstract BackgroundMounting evidence suggests that noncoding RNAs (lncRNAs) were involved in various human cancers. However, the role of these lncRNAs in HPV-driven cervical cancer (CC) has not been extensively studied. Considering ...
Highlights
- LncRNA-mRNA plays a crucial role in tumor carcinogenesis.
- The function of ...
- research-articleDecember 2022
The LCNetWork: An electronic representation of the mRNA-lncRNA-miRNA regulatory network underlying mechanisms of non-small cell lung cancer in humans, and its explorative analysis
Computational Biology and Chemistry (COBC), Volume 101, Issue Chttps://doi.org/10.1016/j.compbiolchem.2022.107781AbstractAdvancement in genomics technologies have made it possible to identify the genes and their interaction/regulation involved in NSCLC, but the interaction information are scattered over the literature. Thus, there is a need of assembling ...
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Highlights- Integrated all the experimentally reported knowledge on the NSCLC mechanisms into a single conceptual platform.
- research-articleNovember 2020
Three Co-expression Pattern Types across Microbial Transcriptional Networks of Plankton in Two Oceanic Waters
BCB '20: Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health InformaticsArticle No.: 14, Pages 1–10https://doi.org/10.1145/3388440.3412485Patterns of two molecules across biological systems are often labeled as conserved or differential. We argue that this classification is insufficient. Here, we introduce three types of relationships across systems. Upon stimuli, a type-0 pattern arises ...
- research-articleApril 2020
RNA-Seq analysis reveals pluripotency-associated genes and their interaction networks in human embryonic stem cells
Computational Biology and Chemistry (COBC), Volume 85, Issue Chttps://doi.org/10.1016/j.compbiolchem.2020.107239Graphical abstractDisplay Omitted
Highlights- Transcriptome profiles of human pluripotent and non-pluripotent samples were compared.
Insight into the key genes of pluripotency in human and their interrelationships is necessary for understanding the underlying mechanism of pluripotency and hence their successful application in regenerative medicine. The recent ...
- ArticleDecember 2019
Biomarker Identification for ESCC Using Integrative DEA
Pattern Recognition and Machine IntelligencePages 156–164https://doi.org/10.1007/978-3-030-34872-4_18AbstractThis paper investigates a fatal disease called Esophageal Squamous Cell Carcinoma (ESCC) and is ranked as sixth leading cancer all over the world. The method of integrative analysis is used to identify a set of most responsible genes that may ...
- research-articleJune 2019
CAMIRADA: Cancer microRNA association discovery algorithm, a case study on breast cancer
Journal of Biomedical Informatics (JOBI), Volume 94, Issue Chttps://doi.org/10.1016/j.jbi.2019.103180Graphical abstractDisplay Omitted
Highlights- microRNA can be used as biomarkers for early diagnosis and treatment of cancer.
In recent studies, non-coding protein RNAs have been identified as microRNA that can be used as biomarkers for early diagnosis and treatment of cancer, that decrease mortality in cancer. A microRNA may target hundreds or thousands of ...
- research-articleOctober 2016
An integrative approach predicted co-expression sub-networks regulating properties of stem cells and differentiation
Computational Biology and Chemistry (COBC), Volume 64, Issue CPages 250–262https://doi.org/10.1016/j.compbiolchem.2016.07.006Display Omitted Seven genes are predicted contributing to precise hESCs-transcription-network.FGF2 helps in stemness and promotes differentiation forming different sub-networks.FGF2 modulates ECM helping in cell proliferation of hESCs and migration of ...
- research-articleJune 2015
Gene expression patterns combined with network analysis identify hub genes associated with bladder cancer
Computational Biology and Chemistry (COBC), Volume 56, Issue CPages 71–83https://doi.org/10.1016/j.compbiolchem.2015.04.001Display Omitted We identified 332 global DEGs and DEGs in different stages and grades of BC.Hub genes of complex networks were explored based on these DEGs.UBE2C, ACTA2, FABP4, CKS2, FN1 and TOP2A were hub genes of networks.ECM-receptor interaction and ...