Cargando…

An unsupervised machine learning method for assessing quality of tandem mass spectra

BACKGROUND: In a single proteomic project, tandem mass spectrometers can produce hundreds of millions of tandem mass spectra. However, majority of tandem mass spectra are of poor quality, it wastes time to search them for peptides. Therefore, the quality assessment (before database search) is very u...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lin, Wenjun, Wang, Jianxin, Zhang, Wen-Jun, Wu, Fang-Xiang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2012
Materias:	Proceedings
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3380733/ https://www.ncbi.nlm.nih.gov/pubmed/22759570 http://dx.doi.org/10.1186/1477-5956-10-S1-S12

Ejemplares similares

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

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

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

Quality assessment of tandem mass spectra using support vector machine (SVM)
por: Zou, An-Min, et al.
Publicado: (2009)

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

Identification of ubiquitin/ubiquitin-like protein modification from tandem mass spectra with various PTMs
por: Kang, Chiyong, et al.
Publicado: (2011)

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

Mining FDA drug labels using an unsupervised learning technique - topic modeling
por: Bisgin, Halil, et al.
Publicado: (2011)

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

Unsupervised fuzzy pattern discovery in gene expression data
por: Wu, Gene PK, 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)

ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast, accurate metabolite identification from tandem mass spectra
por: Nguyen, Dai Hai, et al.
Publicado: (2019)

Unsupervised Integration of Multiple Protein Disorder Predictors: The Method and Evaluation on CASP7, CASP8 and CASP9 Data
por: Zhang, Ping, et al.
Publicado: (2011)

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

A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
por: Zhou, Cong, et al.
Publicado: (2008)

Applying machine learning methods for the analysis of two-dimensional mass spectra
por: Gao, Z., et al.
Publicado: (2023)

Fast max-margin clustering for unsupervised word sense disambiguation in biomedical texts
por: Duan, Weisi, et al.
Publicado: (2009)

Faster and more accurate graphical model identification of tandem mass spectra using trellises
por: Wang, Shengjie, et al.
Publicado: (2016)

Quality control and quality assessment of data from surface-enhanced laser desorption/ionization (SELDI) time-of flight (TOF) mass spectrometry (MS)
por: Hong, Huixiao, et al.
Publicado: (2005)

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

Unsupervised binning of environmental genomic fragments based on an error robust selection of l-mers
por: Yang, Bin, et al.
Publicado: (2010)

Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis
por: Landry, Matthew, et al.
Publicado: (2007)

Inferring viral quasispecies spectra from 454 pyrosequencing reads
por: Astrovskaya, Irina, et al.
Publicado: (2011)

Evolution of orthologous tandemly arrayed gene clusters
por: Tremblay Savard, Olivier, et al.
Publicado: (2011)

Locating tandem repeats in weighted sequences in proteins
por: Zhang, Hui, et al.
Publicado: (2013)

Origin of multiple periodicities in the Fourier power spectra of the Plasmodium falciparum genome
por: Nunes, Miriam CS, et al.
Publicado: (2011)

Deep kernel learning improves molecular fingerprint prediction from tandem mass spectra
por: Dührkop, Kai
Publicado: (2022)

UbiSite: incorporating two-layered machine learning method with substrate motifs to predict ubiquitin-conjugation site on lysines
por: Huang, Chien-Hsun, et al.
Publicado: (2016)

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

Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry
por: Verbeeck, Nico, et al.
Publicado: (2019)

Comparing machine learning and logistic regression methods for predicting hypertension using a combination of gene expression and next-generation sequencing data
por: Held, Elizabeth, et al.
Publicado: (2016)

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)

SIMPLE: Sparse Interaction Model over Peaks of moLEcules for fast, interpretable metabolite identification from tandem mass spectra
por: Nguyen, Dai Hai, et al.
Publicado: (2018)

Unsupervised process monitoring and fault diagnosis with machine learning methods
por: Aldrich, Chris, et al.
Publicado: (2013)

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

Calculations of relative intensities of fragment ions in the MSMS spectra of a doubly charged penta-peptide
por: Pechan, Tibor, et al.
Publicado: (2012)

Machine learning for identification of silylated derivatives from mass spectra
por: Ljoncheva, Milka, et al.
Publicado: (2022)

Identification of transcription factor contexts in literature using machine learning approaches
por: Yang, Hui, et al.
Publicado: (2008)

Ab initio detection of fuzzy amino acid tandem repeats in protein sequences
por: Pellegrini, Marco, et al.
Publicado: (2012)

Cannot write session to /tmp/vufind_sessions/sess_0d9ru709upk6gto2hpjmbapaa5