Cargando…

Human mitochondrial genome compression using machine learning techniques

BACKGROUND: In recent years, with the development of high-throughput genome sequencing technologies, a large amount of genome data has been generated, which has caused widespread concern about data storage and transmission costs. However, how to effectively compression genome sequences data remains...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Rongjie, Zang, Tianyi, Wang, Yadong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2019
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6805717/ https://www.ncbi.nlm.nih.gov/pubmed/31639043 http://dx.doi.org/10.1186/s40246-019-0225-3

Ejemplares similares

BdBG: a bucket-based method for compressing genome sequencing data with dynamic de Bruijn graphs
por: Wang, Rongjie, et al.
Publicado: (2018)

Computation of High-Performance Concrete Compressive Strength Using Standalone and Ensembled Machine Learning Techniques
por: Xu, Yue, et al.
Publicado: (2021)

Compressive Strength of Steel Fiber-Reinforced Concrete Employing Supervised Machine Learning Techniques
por: Li, Yongjian, et al.
Publicado: (2022)

Several machine learning techniques comparison for the prediction of the uniaxial compressive strength of carbonate rocks
por: Hassan, Mohamed Yusuf, et al.
Publicado: (2022)

Application of Machine Learning Techniques for Predicting Compressive, Splitting Tensile, and Flexural Strengths of Concrete with Metakaolin
por: Shah, Hammad Ahmed, et al.
Publicado: (2022)

Integrate GWAS, eQTL, and mQTL Data to Identify Alzheimer’s Disease-Related Genes
por: Zhao, Tianyi, et al.
Publicado: (2019)

Identifying Protein Biomarkers in Blood for Alzheimer's Disease
por: Zhao, Tianyi, et al.
Publicado: (2020)

Deploying Machine Learning Techniques for Human Emotion Detection
por: Siam, Ali I., et al.
Publicado: (2022)

A primer on machine learning techniques for genomic applications
por: Monaco, Alfonso, et al.
Publicado: (2021)

LncDisAP: a computation model for LncRNA-disease association prediction based on multiple biological datasets
por: Wang, Yongtian, et al.
Publicado: (2019)

Prioritizing candidate diseases-related metabolites based on literature and functional similarity
por: Wang, Yongtian, et al.
Publicado: (2019)

Revisiting Warfarin Dosing Using Machine Learning Techniques
por: Sharabiani, Ashkan, et al.
Publicado: (2015)

Detecting phishing websites using machine learning technique
por: Dutta, Ashit Kumar
Publicado: (2021)

Cybercrime: Identification and Prediction Using Machine Learning Techniques
por: Veena, K., et al.
Publicado: (2022)

Neonatal Disease Prediction Using Machine Learning Techniques
por: Robi, Yohanes Gutema, et al.
Publicado: (2023)

Prediction of Geopolymer Concrete Compressive Strength Using Novel Machine Learning Algorithms
por: Ahmad, Ayaz, et al.
Publicado: (2021)

Modeling of Compressive Strength of Self-Compacting Rubberized Concrete Using Machine Learning
por: Kovačević, Miljan, et al.
Publicado: (2021)

Prediction of Compressive Strength of Partially Saturated Concrete Using Machine Learning Methods
por: Candelaria, Ma. Doreen Esplana, et al.
Publicado: (2022)

An Application to Detect Cyberbullying Using Machine Learning and Deep Learning Techniques
por: Raj, Mitushi, et al.
Publicado: (2022)

Predicting circRNA-Disease Associations Based on circRNA Expression Similarity and Functional Similarity
por: Wang, Yongtian, et al.
Publicado: (2019)

Machine Learning Techniques Used for Text Mining
por: Godoy Viera, Ángel Freddy
Publicado: (2017)

A study on quality control using delta data with machine learning technique
por: Liang, Yufang, et al.
Publicado: (2022)

Paraspinal Muscle Degeneration: A Potential Risk Factor for New Vertebral Compression Fractures After Percutaneous Kyphoplasty
por: Si, Fangda, et al.
Publicado: (2022)

Machine Learning Meets Compressed Sensing in Vibration-Based Monitoring
por: Zonzini, Federica, et al.
Publicado: (2022)

Towards the compression of parton densities through machine learning algorithms
por: Carrazza, Stefano, et al.
Publicado: (2016)

Investigating the Soil Unconfined Compressive Strength Based on Laser-Induced Breakdown Spectroscopy Emission Intensities and Machine Learning Techniques
por: Wudil, Yakubu Sani, et al.
Publicado: (2023)

Machine learning techniques for calorimetry
por: Simkina, Polina
Publicado: (2022)

Explore potential disease related metabolites based on latent factor model
por: Wang, Yongtian, et al.
Publicado: (2022)

deSALT: fast and accurate long transcriptomic read alignment with de Bruijn graph-based index
por: Liu, Bo, et al.
Publicado: (2019)

Predictive models for diabetes mellitus using machine learning techniques
por: Lai, Hang, et al.
Publicado: (2019)

Prediction of Static Modulus and Compressive Strength of Concrete from Dynamic Modulus Associated with Wave Velocity and Resonance Frequency Using Machine Learning Techniques
por: Park, Jong Yil, et al.
Publicado: (2020)

Psi-Caller: A Lightweight Short Read-Based Variant Caller With High Speed and Accuracy
por: Liu, Yadong, et al.
Publicado: (2021)

Functional discrimination of membrane proteins using machine learning techniques
por: Gromiha, M Michael, et al.
Publicado: (2008)

Predictive models for charitable giving using machine learning techniques
por: Farrokhvar, Leily, et al.
Publicado: (2018)

Age Classification in Forensic Medicine Using Machine Learning Techniques
por: Zolotenkova, G.V., et al.
Publicado: (2022)

Research on prediction of compressive strength of fly ash and slag mixed concrete based on machine learning
por: Wang, Meng, et al.
Publicado: (2022)

Machine learning solutions: expert techniques to tackle complex machine learning problems using Python
por: Thanaki, Jalaj, et al.
Publicado: (2018)

Identification of Novel Antibacterials Using Machine Learning Techniques
por: Ivanenkov, Yan A., et al.
Publicado: (2019)

Estimation of Yoga Postures Using Machine Learning Techniques
por: Kishore, D. Mohan, et al.
Publicado: (2022)

Analysing CMS transfers using Machine Learning techniques
por: Diotalevi, Tommaso
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_fa64gf3hd2141j16j6rjs7t9o2