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MicroRNAs play critical roles in many physiological processes. Their dysregulations are also closely related to the development and progression of various human diseases, including cancer. Therefore, identifying new microRNAs that are…

Quantitative Methods · Quantitative Biology 2016-06-02 Claude Pasquier , Julien Gardès

Biomedical research has revealed the crucial role of miRNAs in the progression of many diseases, and computational prediction methods are increasingly proposed for assisting biological experiments to verify miRNA-disease associations…

Computational Engineering, Finance, and Science · Computer Science 2023-08-29 Yi Zhou , Meixuan Wu , Chengzhou Ouyang , Min Zhu

Growing evidence from recent studies implies that microRNA or miRNA could serve as biomarkers in various complex human diseases. Since wet-lab experiments are expensive and time-consuming, computational techniques for miRNA-disease…

Quantitative Methods · Quantitative Biology 2021-11-30 Thi Ngan Dong , Megha Khosla

Drug repositioning, that is finding new uses for existing drugs to treat more patients. Cumulative studies demonstrate that the mature miRNAs as well as their precursors can be targeted by small molecular drugs. At the same time, human…

Genomics · Quantitative Biology 2017-08-07 Liang Yu , Jin Zhao , Lin Gao

MicroRNAs play an indispensable role in numerous biological processes ranging from organismic development to tumor progression.In oncology,these microRNAs constitute a fundamental regulation role in the pathology of cancer that provides the…

Quantitative Methods · Quantitative Biology 2022-01-17 Dietrich Kong , Ke Wang , Qiu-Ning Zhang , Zhi-Tong Bing

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 genes…

Genomics · Quantitative Biology 2019-03-06 Sepideh Shamsizadeh , Sama Goliaei , Zahra Razaghi Moghadam

MicroRNAs (miRNAs) are small non-coding RNAs that function as regulators of gene expression. In recent years, there has been a tremendous and growing interest among researchers to investigate the role of miRNAs in normal cellular as well as…

Applications · Statistics 2018-04-13 Noirrit Kiran Chandra , Richa Singh , Sourabh Bhattacharya

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 genes…

Computational Engineering, Finance, and Science · Computer Science 2018-06-20 Sepideh Shamsizadeha , Sama Goliaea , Zahra Razaghi Moghadamb

The emerging research shows that lncRNA has crucial research value in a series of complex human diseases. Therefore, the accurate identification of lncRNA-disease associations (LDAs) is very important for the warning and treatment of…

Machine Learning · Computer Science 2024-06-06 Wen-Yu Xi , Juan Wang , Yu-Lin Zhang , Jin-Xing Liu , Yin-Lian Gao

MicroRNAs play important roles in many biological processes. Their aberrant expression can have oncogenic or tumor suppressor function directly participating to carcinogenesis, malignant transformation, invasiveness and metastasis. Indeed,…

Extracting entity pairs along with relation types from unstructured texts is a fundamental subtask of information extraction. Most existing joint models rely on fine-grained labeling scheme or focus on shared embedding parameters. These…

Artificial Intelligence · Computer Science 2020-10-16 Bin-Bin Zhao , Liang Li , Hui-Dong Zhang

Background: MicroRNAs (miRNAs) play multiple roles in tumor biology [1]. Interestingly, reports from multiple groups suggest that miRNA targets may be coupled through competitive stoichiometric sequestration [2]. Specifically, computational…

miRNA mRNA relations are closely linked to several biological processes and disease mechanisms In a recent study we tested the performance of large language models LLMs on extracting miRNA mRNA relations from PubMed PubMedBERT achieved the…

Background: The expanding research in the field of long non-coding RNAs(lncRNAs) showed abnormal expression of lncRNAs in many complex diseases. Accurately identifying lncRNA-disease association is essential in understanding lncRNA…

Quantitative Methods · Quantitative Biology 2020-06-24 Manu Madhavan , Gopakumar G

Boolean tensor decomposition approximates data of multi-way binary relationships as product of interpretable low-rank binary factors, following the rules of Boolean algebra. Here, we present its first probabilistic treatment. We facilitate…

Machine Learning · Statistics 2018-05-15 Tammo Rukat , Chris C. Holmes , Christopher Yau

MicroRNAs (miRNAs) are small non-coding RNAs that control gene expression at the post-transcriptional level through complementary base pairing with the target mRNA, leading to mRNA degradation and blocking translation process. Any…

Genomics · Quantitative Biology 2020-05-01 Muniba Faiza , Khushnuma Tanveer , Saman Fatihi , Yonghua Wang , Khalid Raza

MicroRNAs (miRNAs) are endogenous small non-coding RNAs that play an important role in post-transcriptional gene regulation. However, the experimental determination of miRNA sequence and structure is both expensive and time-consuming.…

Genomics · Quantitative Biology 2021-06-30 Shyaman Jayasundara , Sandali Lokuge , Puwasuru Ihalagedara , Damayanthi Herath

Motivation: MicroRNAs (miRNAs) play pivotal roles in gene expression regulation by binding to target sites of messenger RNAs (mRNAs). While identifying functional targets of miRNAs is of utmost importance, their prediction remains a great…

Genomics · Quantitative Biology 2021-10-14 Seonwoo Min , Byunghan Lee , Sungroh Yoon

A novel group of small non-coding RNA, known as microRNA (miRNA) is predicted to regulate as high as 90% of the coding genes in human. The diversity and abundance of miRNA targets offer an enormous level of combinatorial possibilities and…

Genomics · Quantitative Biology 2010-09-03 Sushmita Mookherjee , Mithun Sinha , Saikat Mukhopadhyay , Nitai P. Bhattacharyya , P. K. Mohanty

We introduce a tensor-based clustering method to extract sparse, low-dimensional structure from high-dimensional, multi-indexed datasets. This framework is designed to enable detection of clusters of data in the presence of structural…

Quantitative Methods · Quantitative Biology 2019-02-11 Anna Seigal , Mariano Beguerisse-Díaz , Birgit Schoeberl , Mario Niepel , Heather A. Harrington
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