Cargando…

Quality assessment of tandem mass spectra using support vector machine (SVM)

BACKGROUND: Tandem mass spectrometry has become particularly useful for the rapid identification and characterization of protein components of complex biological mixtures. Powerful database search methods have been developed for the peptide identification, such as SEQUEST and MASCOT, which are imple...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zou, An-Min, Wu, Fang-Xiang, Ding, Jia-Rui, Poirier, Guy G
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2009
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2648784/ https://www.ncbi.nlm.nih.gov/pubmed/19208151 http://dx.doi.org/10.1186/1471-2105-10-S1-S49

Ejemplares similares

Quality assessment of peptide tandem mass spectra
por: Wu, Fang-Xiang, et al.
Publicado: (2008)

A novel approach to denoising ion trap tandem mass spectra
por: Ding, Jiarui, et al.
Publicado: (2009)

An unsupervised machine learning method for assessing quality of tandem mass spectra
por: Lin, Wenjun, et al.
Publicado: (2012)

CompareSVM: supervised, Support Vector Machine (SVM) inference of gene regularity networks
por: Gillani, Zeeshan, et al.
Publicado: (2014)

Data on Support Vector Machines (SVM) model to forecast photovoltaic power
por: Malvoni, M., et al.
Publicado: (2016)

Features-Based Deisotoping Method for Tandem Mass Spectra
por: Yuan, Zheng, et al.
Publicado: (2011)

Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
por: Zhang, Chaoyang, et al.
Publicado: (2006)

LipoSVM: Prediction of Lysine Lipoylation in Proteins based on the Support Vector Machine
por: Wu, Meiqi, et al.
Publicado: (2019)

Global-local least-squares support vector machine (GLocal-LS-SVM)
por: Youssef Ali Amer, Ahmed
Publicado: (2023)

AOPs-SVM: A Sequence-Based Classifier of Antioxidant Proteins Using a Support Vector Machine
por: Meng, Chaolu, et al.
Publicado: (2019)

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

SVM-SulfoSite: A support vector machine based predictor for sulfenylation sites
por: AL-barakati, Hussam J., et al.
Publicado: (2018)

A novel machine learning strategy for model selections - Stepwise Support Vector Machine (StepSVM)
por: Guo, Chao-Yu, et al.
Publicado: (2020)

lncRScan-SVM: A Tool for Predicting Long Non-Coding RNAs Using Support Vector Machine
por: Sun, Lei, et al.
Publicado: (2015)

SPEQ: quality assessment of peptide tandem mass spectra with deep learning
por: Gholamizoj, Soroosh, et al.
Publicado: (2022)

SVM Classifier – a comprehensive java interface for support vector machine classification of microarray data
por: Pirooznia, Mehdi, et al.
Publicado: (2006)

Support vector machine (SVM) based multiclass prediction with basic statistical analysis of plasminogen activators
por: Muthukrishnan, Selvaraj, et al.
Publicado: (2014)

SeqSVM: A Sequence-Based Support Vector Machine Method for Identifying Antioxidant Proteins
por: Xu, Lei, et al.
Publicado: (2018)

A feedback framework for protein inference with peptides identified from tandem mass spectra
por: Shi, Jinhong, et al.
Publicado: (2012)

Doubly Optimized Calibrated Support Vector Machine (DOC-SVM): An Algorithm for Joint Optimization of Discrimination and Calibration
por: Jiang, Xiaoqian, et al.
Publicado: (2012)

PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine
por: Manavalan, Balachandran, et al.
Publicado: (2018)

Deep Learning Based Skin Lesion Segmentation and Classification of Melanoma Using Support Vector Machine (SVM)
por: D, Seeja R, et al.
Publicado: (2019)

Predicting the Diagnostic Information of Tandem Mass Spectra of Environmentally Relevant Compounds Using Machine Learning
por: Codrean, S., et al.
Publicado: (2023)

Spectral probabilities of top-down tandem mass spectra
por: Liu, Xiaowen, et al.
Publicado: (2014)

The prediction of the porcine pre-microRNAs in genome-wide based on support vector machine (SVM) and homology searching
por: Wang, Zhen, et al.
Publicado: (2012)

Active Contour Based Segmentation and Classification for Pleura Diseases Based on Otsu’s Thresholding and Support Vector Machine (SVM)
por: Malathi, M, et al.
Publicado: (2019)

Principal component based support vector machine (PC-SVM): a hybrid technique for software defect detection
por: Mustaqeem, Mohd., et al.
Publicado: (2021)

An improved accurate classification method for online education resources based on support vector machine (SVM): Algorithm and experiment
por: Quan, Zhi, et al.
Publicado: (2022)

Early Prediction of Dementia Using Feature Extraction Battery (FEB) and Optimized Support Vector Machine (SVM) for Classification
por: Javeed, Ashir, et al.
Publicado: (2023)

High Mass Accuracy Phosphopeptide Identification Using Tandem Mass Spectra
por: Sadygov, Rovshan G.
Publicado: (2012)

Cardiac Health Diagnosis Using Higher Order Spectra and Support Vector Machine
por: Chua, Chua Kuang, et al.
Publicado: (2009)

Peptide charge state determination of tandem mass spectra from low-resolution collision induced dissociation
por: Shi, Jinhong, et al.
Publicado: (2011)

Identification of metabolites from tandem mass spectra with a machine learning approach utilizing structural features
por: Li, Yuanyue, et al.
Publicado: (2020)

Peptide de novo sequencing of mixture tandem mass spectra
por: Gorshkov, Vladimir, et al.
Publicado: (2016)

SIMILE enables alignment of tandem mass spectra with statistical significance
por: Treen, Daniel G. C., et al.
Publicado: (2022)

LMethyR-SVM: Predict Human Enhancers Using Low Methylated Regions based on Weighted Support Vector Machines
por: Xu, Jingting, et al.
Publicado: (2016)

CyNetSVM: A Cytoscape App for Cancer Biomarker Identification Using Network Constrained Support Vector Machines
por: Shi, Xu, et al.
Publicado: (2017)

Label Self-Advised Support Vector Machine (LSA-SVM)—Automated Classification of Foot Drop Rehabilitation Case Study
por: Adil Abboud, Sahar, et al.
Publicado: (2019)

A matching algorithm with isotope distribution pattern in LC-MS based on support vector machine (SVM) learning model
por: Cui, Jian, et al.
Publicado: (2019)

Accurate and Efficient Resolution of Overlapping Isotopic Envelopes in Protein Tandem Mass Spectra
por: Xiao, Kaijie, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_s7qnri2nv59f0mvdnkls70mjvc