Cargando…

Application of Support Vector Machines in Viral Biology

Novel experimental and sequencing techniques have led to an exponential explosion and spiraling of data in viral genomics. To analyse such data, rapidly gain information, and transform this information to knowledge, interdisciplinary approaches involving several different types of expertise are nece...

Descripción completa

Detalles Bibliográficos
Autores principales:	Modak, Sonal, Mehta, Swati, Sehgal, Deepak, Valadi, Jayaraman
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114997/ http://dx.doi.org/10.1007/978-3-030-29022-1_12

Ejemplares similares

Classification of anti hepatitis peptides using Support Vector Machine with hybrid Ant Colony OptimizationThe Luxembourg database of trichothecene type B F. graminearum and F. culmorum producers
por: Mishra, Gunjan, et al.
Publicado: (2016)

Recent trends in antimicrobial peptide prediction using machine learning techniques
por: Shah, Yash, et al.
Publicado: (2017)

Identification of Penicillin-binding proteins employing support vector machines and random forest
por: Nair, Vinay, et al.
Publicado: (2013)

Quantitative Structure Activity Relationship study of the Anti-Hepatitis Peptides employing Random Forests and Extra-trees regressors
por: Mishra, Gunjan, et al.
Publicado: (2017)

Structure based function prediction of proteins using fragment library frequency vectors
por: Yadav, Akshay, et al.
Publicado: (2012)

Support vector machines applications
por: Ma, Yunqian, et al.
Publicado: (2014)

Support Vector Machines and Kernels for Computational Biology
por: Ben-Hur, Asa, et al.
Publicado: (2008)

Editorial: Annotation and curation of uncharacterized proteins: systems biology approaches
por: Suravajhala, Prashanth, et al.
Publicado: (2015)

Support vector machines and their application in chemistry and biotechnology
por: Liang, Yizeng
Publicado: (2011)

Support Vector Machines and Their Application in Chemistry and Biotechnology
por: Liang, Yizeng, et al.
Publicado: (2016)

Support Vector Machines
por: Deng, Naiyang
Publicado: (2012)

Support vector machines
por: Steinwart, Ingo, et al.
Publicado: (2008)

Twin support vector machines: models, extensions and applications
por: Jayadeva, et al.
Publicado: (2017)

Understanding support vector machines
por: Géron, Aurélien
Publicado: (2017)

Learning with Support Vector Machines
por: Campbell, Colin, et al.
Publicado: (2010)

A new pairwise kernel for biological network inference with support vector machines
por: Vert, Jean-Philippe, et al.
Publicado: (2007)

Correlation Kernels for Support Vector Machines Classification with Applications in Cancer Data
por: Jiang, Hao, et al.
Publicado: (2012)

Application of the Support Vector Machine to Predict Subclinical Mastitis in Dairy Cattle
por: Mammadova, Nazira, et al.
Publicado: (2013)

Viral vectors for vaccine applications
por: Choi, Youngjoo, et al.
Publicado: (2013)

Applications of Support Vector Machine in Genomic Prediction in Pig and Maize Populations
por: Zhao, Wei, et al.
Publicado: (2020)

ccSVM: correcting Support Vector Machines for confounding factors in biological data classification
por: Li, Limin, et al.
Publicado: (2011)

Application of Support Vector Machine for Prediction of Medication Adherence in Heart Failure Patients
por: Son, Youn-Jung, et al.
Publicado: (2010)

Automated Cell Selection Using Support Vector Machine for Application to Spectral Nanocytology
por: Miao, Qin, et al.
Publicado: (2016)

A text mining approach to detect mentions of protein glycosylation in biomedical text
por: Shukla, Daksha, et al.
Publicado: (2012)

Deep Features for Training Support Vector Machines
por: Nanni, Loris, et al.
Publicado: (2021)

ViralmiR: a support-vector-machine-based method for predicting viral microRNA precursors
por: Huang, Kai-Yao, et al.
Publicado: (2015)

Support vector machines and perceptrons: learning, optimization, classification, and application to social networks
por: Murty, MN, et al.
Publicado: (2016)

Ranking Support Vector Machine with Kernel Approximation
por: Chen, Kai, et al.
Publicado: (2017)

A sensitive, support-vector-machine method for the detection of horizontal gene transfers in viral, archaeal and bacterial genomes
por: Tsirigos, Aristotelis, et al.
Publicado: (2005)

Novel application of heuristic optimisation enables the creation and thorough evaluation of robust support vector machine ensembles for machine learning applications
por: Chatzimichali, Eleni Anthippi, et al.
Publicado: (2015)

Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine
por: Mourão-Miranda, Janaina, et al.
Publicado: (2011)

Novel Surrogates for Membrane Fouling and the Application of Support Vector Machine in Analyzing Fouling Mechanism
por: Meng, Xianghao, et al.
Publicado: (2021)

Do Support Vector Machines Play a Role in Stratifying Patient Population Based on Cancer Biomarkers?
por: Lanza, Ben, et al.
Publicado: (2021)

An introduction to support vector machines : and other kernel-based learning methods
por: Cristianini, Nello
Publicado: (2000)

Integrated application of uniform design and least-squares support vector machines to transfection optimization
por: Pan, Jin-Shui, et al.
Publicado: (2009)

The Research and Application of Visual Saliency and Adaptive Support Vector Machine in Target Tracking Field
por: Chen, Yuantao, et al.
Publicado: (2013)

Support Vector Machine Implementations for Classification & Clustering
por: Winters-Hilt, Stephen, et al.
Publicado: (2006)

Overcome Support Vector Machine Diagnosis Overfitting
por: Han, Henry, et al.
Publicado: (2014)

Regularization, optimization, kernels, and support vector machines
por: Suykens, Johan A K, et al.
Publicado: (2015)

Support vector machines in high-energy physics
por: Vossen, Anselm
Publicado: (2008)

Cannot write session to /tmp/vufind_sessions/sess_hnvclldu3p7li96v616ag9paup