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Computational Methods for Rna-RNA Interactions

Editat de Swetha Varadarajan
en Limba Engleză Hardback – 30 oct 2026

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Specificații

ISBN-13: 9781071655665
ISBN-10: 1071655663
Pagini: 368
Dimensiuni: 183 x 260 x 27 mm
Greutate: 0.89 kg
Editura: Springer Us

Cuprins

LSTM-Based Methods for RNA-RNA Interaction Prediction.- Support Vector Machine (SVM)-Based Review of RNA-RNA Interaction Prediction Methods with Emphasis on Cancer Research and Treatment.- RRI-Senti: Transformer-Based Sentiment Analysis of Biomedical Literature for RNA-RNA Interaction Disease Insights.- Sentiment Analysis for RRI Disease Prediction Using RIScoper and Related Tools: A Comparative Review.- Machine Learning-Based Feature Set Analysis of RNA-RNA Interaction Dataset.- A Hybrid of LSTN-CNN for RNA-RNA Interaction Prediction.- A Comprehensive Comparison of the Deep Learning Approaches for the RNA-RNA Interaction Prediction Problem.- Comparative Analysis of Hyperparameter Optimization Strategies for RNA-RNA Interaction Prediction.- Pseudoknots: Based RRI Detection Using Machine Learning Models.- Evaluating Web Servers for RNA-RNA Interaction: From Feature Sets and Encodings to ML and DL Techniques.- Tutorial and Literature Survey on Machine Learning Methods for RNA-RNA Interaction Prediction: Naive Bayes, Bayesian Networks, and BERT Approaches.- From Object Detection to RNA Interaction: Evaluating YOLOv8 and CNNs on RRI Data.- Polyhedral Optimizations of RNA-RNA Interaction Predictions.- Genetic Algorithm-Based Solvers for RNA-RNA Interaction.- A Comprehensive Review of Machine Learning and Deep Learning Techniques for RRI Prediction.- Current Trends and Future Challenges in the RNA-RNA Interaction Prediction Tools and Methods.- Transformer-Based Architectures for RNA-RNA Interaction Prediction.- Graph Neural Networks for Structure-Aware RNA-RNA Interaction Modeling.- Multi¿Omics Integration for RNA-RNA Interaction Prediction.- Explainable Artificial Intelligence for RNA-RNA Interaction Models.- Benchmarking, Reproducibility, and FAIR Pipelines for RNA-RNA Interaction Prediction.- RNA-RNA Interaction Prediction in Therapeutics and Drug Discovery.- Protocols for RNA-RNA Interaction Dataset Construction and Model Training.- Tutorial: End-to-End Deep Learning Pipeline for RNA-RNA Interaction Prediction.- Large Language Models in RNA-RNA Interaction Prediction.