Applying Machine Learning to RNA Secondary Structure Prediction Problem

QR Code

Applying Machine Learning to RNA Secondary Structure Prediction Problem

Proceeding of The 12th Conference on Information Technology and It's Applications (CITA 2023); pp: 33-44.

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Doan, Duy Binh, Pham, Minh Tuan, Dang, Duc Long
Format:	Bài viết
Langue:	English
Publié:	Vietnam-Korea University of Information and Communication Technology 2023
Sujets:	RNA RND secondary structure Neural network Machine Learning RND secondary structure prediction
Accès en ligne:	http://elib.vku.udn.vn/handle/123456789/2702
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Thư viện lưu trữ:	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng

Documents similaires

Analyzing the evolution of rna secondary structures in vertebrate introns using kimura's model of compensatory fitness interactions /
par: Piskol, Robert.

Compensatory evolution in RNA secondary structures increases substitution rate variation among sites /

Developing a Machine Learning Model for Flood Prediction
par: Le, Duc Hieu
Publié: (2025)

Applying Machine Learning in Real Estate Prediction: The Case in Vietnam
par: Nguyen, Tu Anh Hoang, et autres
Publié: (2024)

MATLAB deep learning : with machine learning, neural networks and artificial intelligence
par: Kim, Phil
Publié: (2017)

Machine Learning to application for Depression Prediction Based on Personal Twitter Content
par: Nguyen, Xuan Bao Toan, et autres
Publié: (2025)

MiRNA-Disease Associations Prediction based on Network Consistency Projection
par: Nguyen, Phuc Xuan Quynh, et autres
Publié: (2022)

Recurrent neural networks for prediction : learning algorithms, architectures, and stability /
par: Mandic, Danilo P.
Publié: (2001)

A Machine Learning Approach for Predictive Insights into Tight Junction Protein Functions
par: Nguyen, Thi Tuyen, et autres
Publié: (2024)

Predicting higher order mutation score based on machine learning
par: Do, Van Nho, et autres
Publié: (2024)

Performance Analysis of Deep Learning Models for Software Fault Prediction Using the BugHunter Dataset
par: Dang, Thi Kim Ngan, et autres
Publié: (2025)

MiRNA-Disease Associations Prediction Based on Improving Feature Vectors Quality Combined with Highly Reliable Negative Samples Selection
par: Nguyen, Phuc Xuan Quynh, et autres
Publié: (2024)

A Study of Filter-Based Feature Selection in Software Fault Prediction
par: Ha, Thi Minh Phuong, et autres
Publié: (2023)

Predicting structural deterioration condition of individual storm-water pipes using probabilistic neural networks and multiple logistic regression models /
par: Tran, H. D.

Next-Term Academic Success Prediction Using Deep Learning
par: Pham, Vu Thu Nguyet, et autres
Publié: (2022)

Building an Entrance Score Prediction System using Deep Learning
par: Nguyen, Viet Du, et autres
Publié: (2025)

Experimentation of machine Learning for Predicting Code Smells
par: Phan, Duy Hung, et autres
Publié: (2021)

Prediction of antisense oligonucleotide binding affinity to a structured RNA target /

Computer-Aided Provisional Diagnosis System Using Machine Learning
par: Pham, Vu Thu Nguyet, et autres
Publié: (2023)

Introduction to machine learning /
par: Nilsson, Nils J.
Publié: (1996)

An Improvement of Structural – Twin Support Vector Machine
par: Nguyen, The Cuong, et autres
Publié: (2022)

Building an E-Commerce System Applying Machine Learning to Recommend Items
par: Le, Minh Huy
Publié: (2023)

Evidence for variable selective pressures at a large secondary structure of the human mitochondrial DNA control region /

Improving the Performance of Intrusion Detection on Snort Applying Machine Learning
par: Vo, Ta Truong Tan
Publié: (2025)

Introduction to machine learning : An early draft of a proposed textbook /
par: Nilsson, Nils J.
Publié: (1996)

Parallel evolution of truncated transfer RNA genes in arachnid mitochondrial genomes /
par: Masta, Susan E.

Applying Machine Learning To Build a System to Forecast and Optimizate Sales Prices Based on Competitive Data Analysis
par: Le, Viet Thang, et autres
Publié: (2025)

Correlation-based feature selection for machine learning /
par: Hall, Mark A.
Publié: (1999)

Machine learning /
par: Mitchell, Tom M. 1951-
Publié: (1997)

Machine Learning cơ bản
par: Vũ, Hữu Tiệp
Publié: (2023)

Learning from data : concepts, theory, and methods /
par: Cherkassky, Vladimir S.
Publié: (1998)

Machine learning
par: Mitchell, Tom M.
Publié: (1997)

Machine Learning /
par: Mitchell, Tom M. 1951-
Publié: (1997)

Machine Learning /
par: Mitchell, Tom M. 1951-
Publié: (1997)

Machine Learning /
par: Mitchell, Tom M. 1951-
Publié: (1997)

Machine Learning /
par: Mitchell, Tom M. 1951-
Publié: (1997)

Machine Learning Models to Predict Shareholder Returns in the Banking Industry
par: Le, Duc Thinh, et autres
Publié: (2024)

Learning to teach history in the secondary school : a companion to school experience /
par: Haydn, Terry, 1951-
Publié: (1997)

Combine Deep Learning And Big Data By Transfer Learning: Apply To Solve Sentiment Analysis Problem In Vietnamese Language
par: Le, Van Minh
Publié: (2021)

Deep Learning-Based Convolutional Neural Network for Crash Severity Prediction
par: Se, Chamroeun, et autres
Publié: (2024)