Dimension reduction-based penalized logistic regression for cancer classification using microarray data.
about
Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression dataAn Objective Screening Method for Major Depressive Disorder Using Logistic Regression Analysis of Heart Rate Variability Data Obtained in a Mental Task Paradigm.Prioritizing genes associated with prostate cancer developmentMolecular pathway identification using biological network-regularized logistic modelsIdentification of common microRNA-mRNA regulatory biomodules in human epithelial cancers.A regression-based differential expression detection algorithm for microarray studies with ultra-low sample sizeFeature Selection and Cancer Classification via Sparse Logistic Regression with the Hybrid L1/2 +2 Regularization.A wavelet-based technique to predict treatment outcome for Major Depressive DisorderPenalized feature selection and classification in bioinformatics.Modified logistic regression models using gene coexpression and clinical features to predict prostate cancer progression.Phylogenetic and biological significance of evolutionary elements from metazoan mitochondrial genomes.Classification and differential metabolite discovery of liver diseases based on plasma metabolic profiling and support vector machines.Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical study.Calculation of a Health Index of Oil-Paper Transformers Insulation with Binary Logistic Regression
P2860
Q28386273-77561C6D-6092-496F-9336-558225A08127Q30369584-E0C2C917-83FC-45C3-976B-5174DCEABD4AQ30497425-D12785D2-6E04-46CB-895D-3C5C21D0424EQ33715204-DA8232A1-49FE-44F7-A670-967285951D04Q34577943-89D01A3B-7622-480C-91E4-8D82B7BB240CQ35571472-9B0478B1-3209-4A04-8D72-C327A1ACA11AQ36005212-E87E88EF-4C34-4863-BCAE-DA47E277BE03Q36267832-FFB37974-D56C-43EA-B13E-60D514462F79Q37194229-10981239-8342-4637-AED4-2A3B31C9A828Q37400784-4437F6DD-CE15-4B59-9010-D7C5C4FC1A86Q41838629-29167EA5-F14A-4E42-A35B-46383F7EBA26Q44451691-E898EF07-94F1-4054-9C66-E244D34FD3C3Q55343118-78A2CEE5-7393-4330-B5DD-BB109ED642A1Q59131797-4774F169-C9C1-4E29-BC06-D79AB855F066
P2860
Dimension reduction-based penalized logistic regression for cancer classification using microarray data.
description
2005 nî lūn-bûn
@nan
2005 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Dimension reduction-based pena ...... ication using microarray data.
@ast
Dimension reduction-based pena ...... ication using microarray data.
@en
type
label
Dimension reduction-based pena ...... ication using microarray data.
@ast
Dimension reduction-based pena ...... ication using microarray data.
@en
prefLabel
Dimension reduction-based pena ...... ication using microarray data.
@ast
Dimension reduction-based pena ...... ication using microarray data.
@en
P356
P1476
Dimension reduction-based pena ...... ication using microarray data.
@en
P2093
Eng Chong Tan
P304
P356
10.1109/TCBB.2005.22
P577
2005-04-01T00:00:00Z