AIMC Topic: RNA, Untranslated

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FexRNA: Exploratory Data Analysis and Feature Selection of Non-Coding RNA.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2021
Non-coding RNA (ncRNA) is involved in many biological processes and diseases in all species. Many ncRNA datasets exist that provide ncRNA data in FASTA format which is well suited for biomedical purposes. However, for ncRNA analysis and classificatio...
Machine Learning Sequence Analysis, RNA RNA, Untranslated Databases, Nucleic Acid Algorithms Computational Biology Software
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ncRDense: A novel computational approach for classification of non-coding RNA family by deep learning.

Genomics Jul 7, 2021
With the rapidly growing importance of biological research, non-coding RNAs (ncRNA) attract more attention in biology and bioinformatics. They play vital roles in biological processes such as transcription and translation. Classification of ncRNAs is...
Computational Biology RNA, Untranslated Machine Learning Deep Learning Humans
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Role of Regulatory Non-Coding RNAs in Aggressive Thyroid Cancer: Prospective Applications of Neural Network Analysis.

Molecules (Basel, Switzerland) May 19, 2021
Thyroid cancer (TC) is the most common endocrine malignancy. Most TCs have a favorable prognosis, whereas anaplastic thyroid carcinoma (ATC) is a lethal form of cancer. Different genetic and epigenetic alterations have been identified in aggressive f...
Neural Networks, Computer Thyroid Neoplasms RNA, Untranslated Humans Neoplasm Metastasis
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ncRFP: A Novel end-to-end Method for Non-Coding RNAs Family Prediction Based on Deep Learning.

IEEE/ACM transactions on computational biology and bioinformatics Apr 6, 2021
Evidence has accumulated enough to prove non-coding RNAs (ncRNAs) play important roles in cellular biological processes and disease pathogenesis. High throughput techniques have produced a large number of ncRNAs whose function remains unknown. Since ...
Nucleic Acid Conformation Computational Biology RNA, Untranslated Sequence Analysis, RNA Software Deep Learning
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Machine Learning Reduced Gene/Non-Coding RNA Features That Classify Schizophrenia Patients Accurately and Highlight Insightful Gene Clusters.

International journal of molecular sciences Mar 25, 2021
RNA-seq has been a powerful method to detect the differentially expressed genes/long non-coding RNAs (lncRNAs) in schizophrenia (SCZ) patients; however, due to overfitting problems differentially expressed targets (DETs) cannot be used properly as bi...
Machine Learning Humans Algorithms Computational Biology RNA, Messenger Factor Analysis, Statistical Schizophrenia RNA, Long Noncoding Prefrontal Cortex Diagnosis, Computer-Assisted RNA-Seq Biomarkers Transcriptome Multigene Family RNA, Untranslated
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EDLMFC: an ensemble deep learning framework with multi-scale features combination for ncRNA-protein interaction prediction.

BMC bioinformatics Mar 19, 2021
BACKGROUND: Non-coding RNA (ncRNA) and protein interactions play essential roles in various physiological and pathological processes. The experimental methods used for predicting ncRNA-protein interactions are time-consuming and labor-intensive. Ther...
Neural Networks, Computer Software Animals RNA, Untranslated Mice Computational Biology Deep Learning
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Deep learning predicts short non-coding RNA functions from only raw sequence data.

PLoS computational biology Nov 11, 2020
Small non-coding RNAs (ncRNAs) are short non-coding sequences involved in gene regulation in many biological processes and diseases. The lack of a complete comprehension of their biological functionality, especially in a genome-wide scenario, has dem...
Neural Networks, Computer Deep Learning Humans RNA, Untranslated Databases, Nucleic Acid Exome Sequencing High-Throughput Nucleotide Sequencing Nucleic Acid Conformation Monte Carlo Method Computational Biology Sequence Analysis, RNA
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ncRDeep: Non-coding RNA classification with convolutional neural network.

Computational biology and chemistry Aug 27, 2020
A non-coding RNA (ncRNA) is a kind of RNA that is not converted into protein, however, it is involved in many biological processes, diseases, and cancers. Numerous ncRNAs have been identified and classified with high throughput sequencing technology....
Databases, Genetic RNA, Untranslated Humans Neural Networks, Computer
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Application of Machine Learning in Developing a Novelty Five-Pseudogene Signature to Predict Prognosis of Head and Neck Squamous Cell Carcinoma: A New Aspect of "Junk Genes" in Biomedical Practice.

DNA and cell biology Feb 11, 2020
Head and neck squamous cell carcinoma (HNSCC) is the sixth malignancy, which is characterized by poor prognosis or high mortality because of the lack of predicting markers. Aberrant cancer pseudogenes have been found predictive for prognosis. We aim ...
Pseudogenes Databases, Genetic RNA, Untranslated Machine Learning Prognosis Female Humans Transcriptome Gene Expression Regulation, Neoplastic Squamous Cell Carcinoma of Head and Neck Biomarkers, Tumor Male
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RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning.

Nature communications Nov 27, 2019
The majority of our human genome transcribes into noncoding RNAs with unknown structures and functions. Obtaining functional clues for noncoding RNAs requires accurate base-pairing or secondary-structure prediction. However, the performance of such p...
Protein Structure, Secondary Computational Biology Databases, Genetic Base Pairing RNA, Untranslated RNA Software Humans Algorithms Neural Networks, Computer Deep Learning
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