AIMC Topic: RNA, Long Noncoding

Clear Filters Showing 101 to 110 of 185 articles

Machine Learning Supports Long Noncoding RNAs as Expression Markers for Endometrial Carcinoma.

BioMed research international Jan 10, 2020
Uterine corpus endometrial carcinoma (UCEC) is the second most common type of gynecological tumor. Several research studies have recently shown the potential of different ncRNAs as biomarkers for prognostics and diagnosis in different types of cancer...
Female Biomarkers, Tumor Gene Expression Profiling Humans Machine Learning Databases, Genetic RNA, Long Noncoding Endometrial Neoplasms Transcriptome ROC Curve Gene Regulatory Networks
View on PubMed DOI

A gastric cancer LncRNAs model for MSI and survival prediction based on support vector machine.

BMC genomics Nov 13, 2019
BACKGROUND: Recent studies have shown that long non-coding RNAs (lncRNAs) play a crucial role in the induction of cancer through epigenetic regulation, transcriptional regulation, post-transcriptional regulation and other aspects, thus participating ...
Kaplan-Meier Estimate Models, Genetic Adenocarcinoma Support Vector Machine RNA, Long Noncoding Microsatellite Instability Disease-Free Survival Prognosis Stomach Neoplasms Cohort Studies Humans
View on PubMed DOI

A classification model for lncRNA and mRNA based on k-mers and a convolutional neural network.

BMC bioinformatics Sep 13, 2019
BACKGROUND: Long-chain non-coding RNA (lncRNA) is closely related to many biological activities. Since its sequence structure is similar to that of messenger RNA (mRNA), it is difficult to distinguish between the two based only on sequence biometrics...
RNA, Long Noncoding Mice RNA, Messenger Chickens Humans Neural Networks, Computer Animals
View on PubMed DOI

LDAPred: A Method Based on Information Flow Propagation and a Convolutional Neural Network for the Prediction of Disease-Associated lncRNAs.

International journal of molecular sciences Sep 10, 2019
Long non-coding RNAs (lncRNAs) play a crucial role in the pathogenesis and development of complex diseases. Predicting potential lncRNA-disease associations can improve our understanding of the molecular mechanisms of human diseases and help identify...
Humans Neural Networks, Computer Neoplasms Genetic Predisposition to Disease Computational Biology Algorithms Reproducibility of Results Sensitivity and Specificity MicroRNAs RNA, Long Noncoding
View on PubMed DOI

CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease Associations.

International journal of molecular sciences Aug 30, 2019
It is well known that the unusual expression of long non-coding RNAs (lncRNAs) is closely related to the physiological and pathological processes of diseases. Therefore, inferring the potential lncRNA-disease associations are helpful for understandin...
Area Under Curve Humans Neural Networks, Computer Neoplasms ROC Curve Algorithms RNA, Long Noncoding
View on PubMed DOI

LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring.

IEEE journal of biomedical and health informatics Aug 28, 2019
There is much evidence that long non-coding RNA (lncRNA) is associated with many diseases. However, it is time-consuming and expensive to identify meaningful lncRNA-disease associations (LDAs) through medical or biological experiments. Therefore, inv...
RNA, Long Noncoding Models, Statistical Supervised Machine Learning Neoplasms Genetic Predisposition to Disease Computational Biology Humans
View on PubMed DOI

Predicting lncRNA-disease associations using network topological similarity based on deep mining heterogeneous networks.

Mathematical biosciences Jul 16, 2019
A kind of noncoding RNA with length more than 200 nucleotides named long noncoding RNA (lncRNA) has gained considerable attention in recent decades. Many studies have confirmed that human genome contains many thousands of lncRNAs. LncRNAs play signif...
Humans Neoplasms Deep Learning RNA, Long Noncoding Disease Susceptibility Beckwith-Wiedemann Syndrome Dementia Computational Biology MicroRNAs
View on PubMed DOI

Kinetics of -induced gene silencing can be predicted from combinations of epigenetic and genomic features.

Genome research Jun 7, 2019
To initiate X-Chromosome inactivation (XCI), the long noncoding RNA mediates chromosome-wide gene silencing of one X Chromosome in female mammals to equalize gene dosage between the sexes. The efficiency of gene silencing is highly variable across g...
Gene Silencing Genes, X-Linked X Chromosome Inactivation Kinetics Genome Embryonic Stem Cells Models, Genetic Cell Line RNA, Long Noncoding Animals Mice Epigenesis, Genetic Machine Learning Female
View on PubMed DOI

Predicting miRNA-lncRNA interactions and recognizing their regulatory roles in stress response of plants.

Mathematical biosciences Apr 26, 2019
It has been found that each non-coding RNA (ncRNA) can act not only through its target gene, but also interact with each other to act on biological traits, and this interaction is more common. Many studies focus mainly on the analysis of microRNA(miR...
RNA, Long Noncoding Stress, Physiological Arabidopsis RNA, Plant Models, Genetic Support Vector Machine Gene Regulatory Networks MicroRNAs RNA, Messenger
View on PubMed DOI

Prediction of Long Non-Coding RNAs Based on Deep Learning.

Genes Apr 3, 2019
With the rapid development of high-throughput sequencing technology, a large number of transcript sequences have been discovered, and how to identify long non-coding RNAs (lncRNAs) from transcripts is a challenging task. The identification and inclus...
RNA, Messenger Models, Genetic RNA, Long Noncoding Deep Learning Humans High-Throughput Nucleotide Sequencing Genetic Predisposition to Disease Algorithms Computational Biology
View on PubMed DOI
Popular Topics
Recent Journals