Cargando…

DEML: Drug Synergy and Interaction Prediction Using Ensemble-Based Multi-Task Learning

Synergistic drug combinations have demonstrated effective therapeutic effects in cancer treatment. Deep learning methods accelerate identification of novel drug combinations by reducing the search space. However, potential adverse drug–drug interactions (DDIs), which may increase the risks for combi...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Zhongming, Dong, Jiahui, Wu, Lianlian, Dai, Chong, Wang, Jing, Wen, Yuqi, Zhang, Yixin, Yang, Xiaoxi, He, Song, Bo, Xiaochen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861702/ https://www.ncbi.nlm.nih.gov/pubmed/36677903 http://dx.doi.org/10.3390/molecules28020844

Ejemplares similares

Machine learning methods, databases and tools for drug combination prediction
por: Wu, Lianlian, et al.
Publicado: (2021)

deML: robust demultiplexing of Illumina sequences using a likelihood-based approach
por: Renaud, Gabriel, et al.
Publicado: (2015)

Computational methods, databases and tools for synthetic lethality prediction
por: Wang, Jing, et al.
Publicado: (2022)

Multi-dimensional data integration algorithm based on random walk with restart
por: Wen, Yuqi, et al.
Publicado: (2021)

An Algorithm Framework for Drug-Induced Liver Injury Prediction Based on Genetic Algorithm and Ensemble Learning
por: Yan, Bowei, et al.
Publicado: (2022)

Exploring novel disease-disease associations based on multi-view fusion network
por: Yang, Xiaoxi, et al.
Publicado: (2023)

COMSUC: A web server for the identification of consensus molecular subtypes of cancer based on multiple methods and multi-omics data
por: He, Song, et al.
Publicado: (2021)

A benchmark study of deep learning-based multi-omics data fusion methods for cancer
por: Leng, Dongjin, et al.
Publicado: (2022)

EDST: a decision stump based ensemble algorithm for synergistic drug combination prediction
por: Chen, Jing, et al.
Publicado: (2023)

Improving therapeutic synergy score predictions with adverse effects using multi-task heterogeneous network learning
por: Yue, Yang, et al.
Publicado: (2022)

SYNPRED: prediction of drug combination effects in cancer using different synergy metrics and ensemble learning
por: Preto, António J, et al.
Publicado: (2022)

Motor synergy generalization framework for new targets in multi-planar and multi-directional reaching task
por: Kutsuzawa, Kyo, et al.
Publicado: (2022)

Hybrid Predictive Ensembles: Synergies Between Human and Computational Forecasts
por: Hong, Lu, et al.
Publicado: (2021)

Task complexity moderates group synergy
por: Almaatouq, Abdullah, et al.
Publicado: (2021)

Effect of Kinetic Degrees of Freedom on Multi-Finger Synergies and Task Performance during Force Production and Release Tasks
por: Kim, Kitae, et al.
Publicado: (2018)

A hybrid deep forest-based method for predicting synergistic drug combinations
por: Wu, Lianlian, et al.
Publicado: (2023)

Explainable Tensor Multi-Task Ensemble Learning Based on Brain Structure Variation for Alzheimer’s Disease Dynamic Prediction
Publicado: (2022)

Multi-Channel Interactive Reinforcement Learning for Sequential Tasks
por: Koert, Dorothea, et al.
Publicado: (2020)

Intra-Auditory Integration Improves Motor Performance and Synergy in an Accurate Multi-Finger Pressing Task
por: Koh, Kyung, et al.
Publicado: (2016)

SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples
por: Ianevski, Aleksandr, et al.
Publicado: (2022)

Muscle synergies are associated with intermuscular coherence and cortico-synergy coherence in an isometric upper limb task
por: Ortega-Auriol, Pablo, et al.
Publicado: (2023)

Prediction of drug–target interactions through multi-task learning
por: Moon, Chaeyoung, et al.
Publicado: (2022)

Multi-Scale Frequency Bands Ensemble Learning for EEG-Based Emotion Recognition
por: Shen, Fangyao, et al.
Publicado: (2021)

EDLMFC: an ensemble deep learning framework with multi-scale features combination for ncRNA–protein interaction prediction
por: Wang, Jingjing, et al.
Publicado: (2021)

An Adaptive Deep Ensemble Learning Method for Dynamic Evolving Diagnostic Task Scenarios
por: Su, Kaixiang, et al.
Publicado: (2021)

Ensemble learning with speaker embeddings in multiple speech task stimuli for depression detection
por: Liu, Zhenyu, et al.
Publicado: (2023)

Multi-Finger Interaction and Synergies in Finger Flexion and Extension Force Production
por: Park, Jaebum, et al.
Publicado: (2017)

Multi-PLI: interpretable multi‐task deep learning model for unifying protein–ligand interaction datasets
por: Hu, Fan, et al.
Publicado: (2021)

Predicting drug side effects by multi-label learning and ensemble learning
por: Zhang, Wen, et al.
Publicado: (2015)

Multi-Task Learning Based Network Embedding
por: Wang, Shanfeng, et al.
Publicado: (2020)

LitCovid ensemble learning for COVID-19 multi-label classification
por: Gu, Jinghang, et al.
Publicado: (2022)

Early warning of telecom enterprise customer churn based on ensemble learning
por: Zhou, Yancong, et al.
Publicado: (2023)

Multi-task dispatch of shared autonomous electric vehicles for Mobility-on-Demand services – combination of deep reinforcement learning and combinatorial optimization method
por: Wang, Ning, et al.
Publicado: (2022)

Task-Projected Hyperdimensional Computing for Multi-task Learning
por: Chang, Cheng-Yang, et al.
Publicado: (2020)

The Ensemble Machine Learning-Based Classification of Motor Imagery Tasks in Brain-Computer Interface
por: Subasi, Abdulhamit, et al.
Publicado: (2021)

SynergyFinder 2.0: visual analytics of multi-drug combination synergies
por: Ianevski, Aleksandr, et al.
Publicado: (2020)

Coordination dynamics of multi-agent interaction in a musical ensemble
por: Proksch, Shannon, et al.
Publicado: (2022)

Multi-Task Learning-Based Immunofluorescence Classification of Kidney Disease
por: Pan, Sai, et al.
Publicado: (2021)

MOCSS: Multi-omics data clustering and cancer subtyping via shared and specific representation learning
por: Chen, Yuxin, et al.
Publicado: (2023)

Muscle synergy space: learning model to create an optimal muscle synergy
por: Alnajjar, Fady, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_et48lhf660j4o0soscmj7bn1kf