Cargando…

Automated Training for Algorithms That Learn from Genomic Data

Supervised machine learning algorithms are used by life scientists for a variety of objectives. Expert-curated public gene and protein databases are major resources for gathering data to train these algorithms. While these data resources are continuously updated, generally, these updates are not inc...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cilingir, Gokcen, Broschat, Shira L.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2015
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4324891/ https://www.ncbi.nlm.nih.gov/pubmed/25695053 http://dx.doi.org/10.1155/2015/234236

Ejemplares similares

ApicoAP: The First Computational Model for Identifying Apicoplast-Targeted Proteins in Multiple Species of Apicomplexa
por: Cilingir, Gokcen, et al.
Publicado: (2012)

Comparative genomics reveals multiple pathways to mutualism for tick-borne pathogens
por: Lockwood, Svetlana, et al.
Publicado: (2016)

Alignment-free clustering of large data sets of unannotated protein conserved regions using minhashing
por: Abnousi, Armen, et al.
Publicado: (2018)

Using an optimal set of features with a machine learning-based approach to predict effector proteins for Legionella pneumophila
por: Esna Ashari, Zhila, et al.
Publicado: (2019)

Using Protein Clusters from Whole Proteomes to Construct and Augment a Dendrogram
por: Zhou, Yunyun, et al.
Publicado: (2013)

A Fast Alignment-Free Approach for De Novo Detection of Protein Conserved Regions
por: Abnousi, Armen, et al.
Publicado: (2016)

Whole Proteome Clustering of 2,307 Proteobacterial Genomes Reveals Conserved Proteins and Significant Annotation Issues
por: Lockwood, Svetlana, et al.
Publicado: (2019)

Whole-Proteome Analysis of Twelve Species of Alphaproteobacteria Links Four Pathogens
por: Zhou, Yunyun, et al.
Publicado: (2013)

A Systematic Approach to Bacterial Phylogeny Using Order Level Sampling and Identification of HGT Using Network Science
por: Khaledian, Ehdieh, et al.
Publicado: (2020)

A Java-based tool for the design of classification microarrays
por: Meng, Da, et al.
Publicado: (2008)

PASS: Protein Annotation Surveillance Site for Protein Annotation Using Homologous Clusters, NLP, and Sequence Similarity Networks
por: Tao, Jin, et al.
Publicado: (2021)

PARGT: a software tool for predicting antimicrobial resistance in bacteria
por: Chowdhury, Abu Sayed, et al.
Publicado: (2020)

Antimicrobial Resistance Prediction for Gram-Negative Bacteria via Game Theory-Based Feature Evaluation
por: Chowdhury, Abu Sayed, et al.
Publicado: (2019)

An optimal set of features for predicting type IV secretion system effector proteins for a subset of species based on a multi-level feature selection approach
por: Esna Ashari, Zhila, et al.
Publicado: (2018)

Prediction of T4SS Effector Proteins for Anaplasma phagocytophilum Using OPT4e, A New Software Tool
por: Esna Ashari, Zhila, et al.
Publicado: (2019)

Publisher Correction: Antimicrobial Resistance Prediction for Gram-Negative Bacteria via Game Theory-Based Feature Evaluation
por: Chowdhury, Abu Sayed, et al.
Publicado: (2020)

Validation of ‘Somnivore’, a Machine Learning Algorithm for Automated Scoring and Analysis of Polysomnography Data
por: Allocca, Giancarlo, et al.
Publicado: (2019)

Prediction of tuberculosis using an automated machine learning platform for models trained on synthetic data
por: Rashidi, Hooman H., et al.
Publicado: (2022)

Automated Breast Cancer Diagnosis Based on Machine Learning Algorithms
por: Dhahri, Habib, et al.
Publicado: (2019)

Data-driven automated control algorithm for floating-zone crystal growth derived by reinforcement learning
por: Tosa, Yusuke, et al.
Publicado: (2023)

Cleaning of anthropometric data from PCORnet electronic health records using automated algorithms
por: Lin, Pi-I D, et al.
Publicado: (2022)

Incremental and Parallel Machine Learning Algorithms With Automated Learning Rate Adjustments
por: Hishinuma, Kazuhiro, et al.
Publicado: (2019)

Sequence determinants of human-cell entry identified in ACE2-independent bat sarbecoviruses: A combined laboratory and computational network science approach
por: Khaledian, Ehdieh, et al.
Publicado: (2022)

Automated detection of celiac disease using Machine Learning Algorithms
por: Stoleru, Cristian-Andrei, et al.
Publicado: (2022)

Algorithms for the automated correction of vertical drift in eye-tracking data
por: Carr, Jon W., et al.
Publicado: (2021)

Algorithmic Differentiation for Automated Modeling of Machine Learned Force Fields
por: Schmitz, Niklas Frederik, et al.
Publicado: (2022)

LDIAED: A lightweight deep learning algorithm implementable on automated external defibrillators
por: Nasimi, Fahimeh, et al.
Publicado: (2022)

Deep Learning Algorithm for Automated Diagnosis of Retinopathy of Prematurity Plus Disease
por: Tan, Zachary, et al.
Publicado: (2019)

Dynamics of repeat-associated plasticity in the aaap gene family in Anaplasma marginale
por: Fallquist, Heather M., et al.
Publicado: (2019)

Automated urinary sediment detection for Fabry disease using deep-learning algorithms
por: Uryu, Hidetaka, et al.
Publicado: (2022)

The AUDANA algorithm for automated protein 3D structure determination from NMR NOE data
por: Lee, Woonghee, et al.
Publicado: (2016)

Using data-driven algorithms for semi-automated geomorphological mapping
por: Giaccone, Elisa, et al.
Publicado: (2021)

Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning
por: Vennemann, Bernhard, et al.
Publicado: (2019)

Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms
por: Alsheref, Fahad Kamal, et al.
Publicado: (2022)

Automated deconvolution of structured mixtures from heterogeneous tumor genomic data
por: Roman, Theodore, et al.
Publicado: (2017)

Automation of surgical skill assessment using a three-stage machine learning algorithm
por: Lavanchy, Joël L., et al.
Publicado: (2021)

An algorithm for automated closure during assembly
por: Koren, Sergey, et al.
Publicado: (2010)

An Algorithm to Automate Yeast Segmentation and Tracking
por: Doncic, Andreas, et al.
Publicado: (2013)

Automated detection and classification of the proximal humerus fracture by using deep learning algorithm
por: Chung, Seok Won, et al.
Publicado: (2018)

A fully-automated paper ECG digitisation algorithm using deep learning
por: Wu, Huiyi, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_530neaf123i99d10ejhrn93dnt