In this paper, we explored the capability of lncRNA in classifying cancer types by employing four deep neural networks - multi-layer perceptron (MLP), longshort ...
ABSTRACT. Recent studies indicate that lncRNA plays key roles in tumorigene- sis and misexpression of lncRNAs can lead to change in expression.
Long Non-coding RNA Based Cancer Classification using Deep ...
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Al Mamun, Abdullah, Mondal, Ananda Mohan. (2019). Long Non-coding RNA Based Cancer Classification using Deep Neural Networks . 541-541.
In this paper, we explored the capability of lncRNA in classifying cancer types by employing four deep neural networks - multi-layer perceptron (MLP), longshort ...
Nov 9, 2023 · In this paper, we propose a new computational method based on global heterogeneous networks to predict the functions of lncRNAs, called DNGRGO.
Dec 1, 2023 · In human diseases, lncRNAs play a crucial role in breast cancer progression, hepatocellular carcinoma, and Alzheimer's disease [6–8].
Jan 12, 2022 · Here, we employ deep learning neural networks and noncoding RNA biomarkers to develop an accurate cancer detection system to detect multiple ...
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In this review, we discuss the reciprocal interplay between lncRNAs and RBPs and their involvement in epigenetic regulation via histone modifications.
Mar 29, 2024 · This study aims to identify lncRNAs with diagnostic potential as biomarkers for HNSCC. Statistical analysis was performed on expression data ...
We present a deep learning-based approach, lncRNAnet, to identify lncRNAs that incorporates recurrent neural networks for RNA sequence modeling.