Using epigenomics data to predict gene expression in lung cancer.
about
Deep learning for computational biology.A Feature Selection Algorithm to Compute Gene Centric Methylation from Probe Level Methylation Data.Analysis of Microarray Data on Gene Expression and Methylation to Identify Long Non-coding RNAs in Non-small Cell Lung CancerIdentifying subtype-specific associations between gene expression and DNA methylation profiles in breast cancerhistoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data.Machine learning for epigenetics and future medical applications.Findings from the Section on Bioinformatics and Translational Informatics.Modeling Gene Regulation in Liver Hepatocellular Carcinoma with Random Forests.Robust prediction of gene regulation in colorectal cancer tissues from DNA methylation profiles.Onco-Multi-OMICS Approach: A New Frontier in Cancer Research
P2860
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P2860
Using epigenomics data to predict gene expression in lung cancer.
description
2015 nî lūn-bûn
@nan
2015 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի մարտին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Using epigenomics data to predict gene expression in lung cancer.
@ast
Using epigenomics data to predict gene expression in lung cancer.
@en
type
label
Using epigenomics data to predict gene expression in lung cancer.
@ast
Using epigenomics data to predict gene expression in lung cancer.
@en
prefLabel
Using epigenomics data to predict gene expression in lung cancer.
@ast
Using epigenomics data to predict gene expression in lung cancer.
@en
P2093
P2860
P1433
P1476
Using epigenomics data to predict gene expression in lung cancer.
@en
P2093
Jeffery Li
Lana X Garmire
Sijia Huang
Travers Ching
P2860
P2888
P356
10.1186/1471-2105-16-S5-S10
P478
16 Suppl 5
P577
2015-03-18T00:00:00Z
P6179
1031132956