Cargando…
Feature Detection Techniques for Preprocessing Proteomic Data
Numerous gel-based and nongel-based technologies are used to detect protein changes potentially associated with disease. The raw data, however, are abundant with technical and structural complexities, making statistical analysis a difficult task. Low-level analysis issues (including normalization, b...
Autores principales: | Sellers, Kimberly F., Miecznikowski, Jeffrey C. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2864909/ https://www.ncbi.nlm.nih.gov/pubmed/20467457 http://dx.doi.org/10.1155/2010/896718 |
Ejemplares similares
-
A comparison of imputation procedures and statistical tests for the analysis of two-dimensional electrophoresis data
por: Miecznikowski, Jeffrey C, et al.
Publicado: (2010) -
Cyberbullying detection: advanced preprocessing techniques & deep learning architecture for Roman Urdu data
por: Dewani, Amirita, et al.
Publicado: (2021) -
Data preprocessing in data mining
por: García, Salvador, et al.
Publicado: (2015) -
A comparison of imputation procedures and statistical tests for the analysis of two-dimensional electrophoresis data
por: Miecznikowski, Jeffrey C, et al.
Publicado: (2011) -
Preprocessing of 2-Dimensional Gel Electrophoresis Images Applied to Proteomic Analysis: A Review
por: Goez, Manuel Mauricio, et al.
Publicado: (2018)