BPDA2d: a 2D global optimization-based Bayesian peptide detection algorithm for liquid chromatograph-mass spectrometry
- Autor
- YOUTING SUN1 ; JIANQIU ZHANG2 ; BRAGA-NETO, Ulisses1 ; DOUGHERTY, Edward R1 3 4
[1] Department of Electrical Engineering, Texas A&M University, College Station, TX 77843, United States
[2] Department of Electrical Engineering, University of Texas at San Antonio, San Antonio, TX 78249, United States
[3] Computational Biology Division, Translational Genomics Research Institution, Phoenix, AZ 85004, United States
[4] Department of Bioinformatics and Computational Biology, University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, United States - Fuente
Bioinformatics (Oxford. Print). 2012, Vol 28, Num 4, pp 564-572, 9 p ; ref : 1/4 p
- ISSN
- 1367-4803
- Campo Científico
- Bioinformatics
- Editor
- Oxford University Press, Oxford
- País de la publicación
- United Kingdom
- Tipo de documento
- Article
- Idioma
- English
- Palabra clave (fr)
- Algorithme Détection Optimisation Peptide Spectrométrie masse
- Palabra clave (in)
- Algorithm Detection Optimization Peptides Mass spectrometry
- Palabra clave (es)
- Algoritmo Detección Optimización Péptido Espectrometría masa
- Clasificación
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A01 General aspects / 002A01B Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
- Disciplina
- Biological sciences. Generalities. Modelling. Methods Generalities in biological sciences
- Procedencia
- Inist-CNRS
- Base de datos
- PASCAL
- Identificador INIST
- 25544195
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1093/bioinformatics/btr675 
https://dx.doi.org/10.1093/bioinformatics/btr675
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