Data reduction using a discrete wavelet transform in discriminant analysis of very high dimensionality data.
about
Performance of a genetic algorithm for mass spectrometry proteomicsAssessing bias in experiment design for large scale mass spectrometry-based quantitative proteomicsA hybrid feature subset selection algorithm for analysis of high correlation proteomic dataA novel wavelet-based thresholding method for the pre-processing of mass spectrometry data that accounts for heterogeneous noise.Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching.A data-mining approach to biomarker identification from protein profiles using discrete stationary wavelet transform.Identifying biomarkers from mass spectrometry data with ordinal outcomeParametric power spectral density analysis of noise from instrumentation in MALDI TOF mass spectrometry.Common peak approach using mass spectrometry data sets for predicting the effects of anticancer drugs on breast cancerComparison of computational algorithms for the classification of liver cancer using SELDI mass spectrometry: a case study.A novel preprocessing method using Hilbert Huang Transform for MALDI-TOF and SELDI-TOF mass spectrometry data.Regional manifold learning for disease classification.Bioinformatics approaches in clinical proteomics.Utility of mass spectrometry for proteome analysis: part II. Ion-activation methods, statistics, bioinformatics and annotation.Computing group cardinality constraint solutions for logistic regression problems.Serum proteomics profiling—a young technology begins to mature
P2860
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P2860
Data reduction using a discrete wavelet transform in discriminant analysis of very high dimensionality data.
description
2003 nî lūn-bûn
@nan
2003 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի մարտին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
Data reduction using a discret ...... very high dimensionality data.
@ast
Data reduction using a discret ...... very high dimensionality data.
@en
type
label
Data reduction using a discret ...... very high dimensionality data.
@ast
Data reduction using a discret ...... very high dimensionality data.
@en
prefLabel
Data reduction using a discret ...... very high dimensionality data.
@ast
Data reduction using a discret ...... very high dimensionality data.
@en
P2093
P356
P1433
P1476
Data reduction using a discret ...... very high dimensionality data.
@en
P2093
Bao-Ling Adam
George L Wright
John Davis
Mark Thornquist
Mary Lou Thompson
MaryAnn Clements
Paul F Schellhammer
Yinsheng Qu
Yutaka Yasui
Ziding Feng
P304
P356
10.1111/1541-0420.00017
P407
P577
2003-03-01T00:00:00Z