Cargando…

Modeling multi-species RNA modification through multi-task curriculum learning

N(6)-methyladenosine (m(6)A) is the most pervasive modification in eukaryotic mRNAs. Numerous biological processes are regulated by this critical post-transcriptional mark, such as gene expression, RNA stability, RNA structure and translation. Recently, various experimental techniques and computatio...

Descripción completa

Detalles Bibliográficos
Autores principales:	Xiong, Yuanpeng, He, Xuan, Zhao, Dan, Tian, Tingzhong, Hong, Lixiang, Jiang, Tao, Zeng, Jianyang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2021
Materias:	Computational Biology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8053129/ https://www.ncbi.nlm.nih.gov/pubmed/33744973 http://dx.doi.org/10.1093/nar/gkab124

Ejemplares similares

Full-length ribosome density prediction by a multi-input and multi-output model
por: Tian, Tingzhong, et al.
Publicado: (2021)

A deep-learning framework for multi-level peptide–protein interaction prediction
por: Lei, Yipin, et al.
Publicado: (2021)

4mCPred-MTL: Accurate Identification of DNA 4mC Sites in Multiple Species Using Multi-Task Deep Learning Based on Multi-Head Attention Mechanism
por: Zeng, Rao, et al.
Publicado: (2021)

Task scheduling for multi-core and parallel architectures: challenges, solutions and perspectives
por: Chen, Quan, et al.
Publicado: (2017)

EXP2SL: A Machine Learning Framework for Cell-Line-Specific Synthetic Lethality Prediction
por: Wan, Fangping, et al.
Publicado: (2020)

miR-Synth: a computational resource for the design of multi-site multi-target synthetic miRNAs
por: Laganà, Alessandro, et al.
Publicado: (2014)

Multi-Task Learning and Improved TextRank for Knowledge Graph Completion
por: Tian, Hao, et al.
Publicado: (2022)

Multi-Core Programming: Increasing Performance Through Software Multi-threading
por: Akhter, Shameem, et al.
Publicado: (2006)

Task-dependent optimal representations for cerebellar learning
por: Xie, Marjorie, et al.
Publicado: (2023)

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

Shape-based alignment of genomic landscapes in multi-scale resolution
por: Ashida, Hiroki, et al.
Publicado: (2012)

Multi-Task Network Representation Learning
por: Xie, Yu, et al.
Publicado: (2020)

Polymer informatics with multi-task learning
por: Kuenneth, Christopher, et al.
Publicado: (2021)

A multi-class classification algorithm based on hematoxylin-eosin staining for neoadjuvant therapy in rectal cancer: a retrospective study
por: Wu, Yihan, et al.
Publicado: (2023)

Discovery of multi-dimensional modules by integrative analysis of cancer genomic data
por: Zhang, Shihua, et al.
Publicado: (2012)

Learning representation for multi-view data analysis: models and applications
por: Ding, Zhengming, et al.
Publicado: (2019)

Learn Ionic 2: develop multi-platform mobile apps
por: Justin, Joyce, et al.
Publicado: (2017)

Waveform detection by deep learning reveals multi-area spindles that are selectively modulated by memory load
por: Mofrad, Maryam H, et al.
Publicado: (2022)

Water Quality Prediction Based on Multi-Task Learning
por: Wu, Huan, et al.
Publicado: (2022)

Curriculum learning for human compositional generalization
por: Dekker, Ronald B., et al.
Publicado: (2022)

Multi-task machine learning improves multi-seasonal prediction of the Indian Ocean Dipole
por: Ling, Fenghua, et al.
Publicado: (2022)

Cephalopod species identification using integrated analysis of machine learning and deep learning approaches
por: Tan, Hui Yuan, et al.
Publicado: (2021)

A defense-offense multi-layered regulatory switch in a pathogenic bacterium
por: Nitzan, Mor, et al.
Publicado: (2015)

Predicting enhancer transcription and activity from chromatin modifications
por: Zhu, Yun, et al.
Publicado: (2013)

Bayesian multi-task learning for decoding multi-subject neuroimaging data
por: Marquand, Andre F., et al.
Publicado: (2014)

Explainable multi-task learning for multi-modality biological data analysis
por: Tang, Xin, et al.
Publicado: (2023)

Advancing translational research in neuroscience through multi-task learning
por: Cao, Han, et al.
Publicado: (2022)

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

Learning Gait Representations with Noisy Multi-Task Learning
por: Cosma, Adrian, et al.
Publicado: (2022)

MultiPriDe: automated batch development of quantitative real-time PCR primers
por: Ziesel, A. C., et al.
Publicado: (2008)

Artificial neural network cascade identifies multi-P450 inhibitors in natural compounds
por: Li, Zhangming, et al.
Publicado: (2015)

MetaMLST: multi-locus strain-level bacterial typing from metagenomic samples
por: Zolfo, Moreno, et al.
Publicado: (2017)

iDNA-MT: Identification DNA Modification Sites in Multiple Species by Using Multi-Task Learning Based a Neural Network Tool
por: Yang, Xiao, et al.
Publicado: (2021)

Smart Contract Vulnerability Detection Model Based on Multi-Task Learning
por: Huang, Jing, et al.
Publicado: (2022)

Improving molecular property prediction through a task similarity enhanced transfer learning strategy
por: Li, Han, et al.
Publicado: (2022)

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

Identifying core gene modules in glioblastoma based on multilayer factor-mediated dysfunctional regulatory networks through integrating multi-dimensional genomic data
por: Ping, Yanyan, et al.
Publicado: (2015)

Dynamics of supercoiled DNA with complex knots: large-scale rearrangements and persistent multi-strand interlocking
por: Coronel, Lucia, et al.
Publicado: (2018)

Inferring multi-target QSAR models with taxonomy-based multi-task learning
por: Rosenbaum, Lars, et al.
Publicado: (2013)

Adversarial Autoencoder and Multi-Task Semi-Supervised Learning for Multi-stage Process
por: Mendes, Andre, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_119io78hpi9qjlikkf6i0bed5j