Regression analysis of combined gene expression regulation in acute myeloid leukemia
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Characterizing Cancer-Specific Networks by Integrating TCGA Data.Integrating Multi-omics Data to Dissect Mechanisms of DNA repair Dysregulation in Breast CancerConditional mutual inclusive information enables accurate quantification of associations in gene regulatory networks.Inference of transcriptional regulation in cancers.Identifying Network Perturbation in Cancer.Inferring Gene Regulatory Networks Using Conditional Regulation Pattern to Guide Candidate GenesInferring RBP-Mediated Regulation in Lung Squamous Cell Carcinoma.Estimating genome-wide regulatory activity from multi-omics data sets using mathematical optimization.Efficient Regularized Regression with L0 Penalty for Variable Selection and Network Construction.Computational Biology in microRNA.Modeling Gene Regulation in Liver Hepatocellular Carcinoma with Random Forests.Mutual regulation of microRNAs and DNA methylation in human cancers.The functional consequences and prognostic value of dosage sensitivity in ovarian cancer.miRNA-548p suppresses hepatitis B virus X protein associated hepatocellular carcinoma by downregulating oncoprotein hepatitis B x-interacting protein.Dynamic and Modularized MicroRNA Regulation and Its Implication in Human Cancers.Estimation of cis-eQTL effect sizes using a log of linear model.Systems-epigenomics inference of transcription factor activity implicates aryl-hydrocarbon-receptor inactivation as a key event in lung cancer development.Integrative analysis reveals disrupted pathways regulated by microRNAs in cancer.Probing instructions for expression regulation in gene nucleotide compositions.Comparison of Circulating miRNAs Expression Alterations in Matched Tissue and Plasma Samples During Colorectal Cancer Progression.Identification of Novel Functional Variants of SIN3A and SRSF1 among Somatic Variants in Acute Myeloid Leukemia Patients.
P2860
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P2860
Regression analysis of combined gene expression regulation in acute myeloid leukemia
description
2014 nî lūn-bûn
@nan
2014 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Regression analysis of combined gene expression regulation in acute myeloid leukemia
@ast
Regression analysis of combined gene expression regulation in acute myeloid leukemia
@en
Regression analysis of combined gene expression regulation in acute myeloid leukemia
@nl
type
label
Regression analysis of combined gene expression regulation in acute myeloid leukemia
@ast
Regression analysis of combined gene expression regulation in acute myeloid leukemia
@en
Regression analysis of combined gene expression regulation in acute myeloid leukemia
@nl
prefLabel
Regression analysis of combined gene expression regulation in acute myeloid leukemia
@ast
Regression analysis of combined gene expression regulation in acute myeloid leukemia
@en
Regression analysis of combined gene expression regulation in acute myeloid leukemia
@nl
P2093
P2860
P1476
Regression analysis of combined gene expression regulation in acute myeloid leukemia
@en
P2093
Minggao Liang
Zhaolei Zhang
P2860
P304
P356
10.1371/JOURNAL.PCBI.1003908
P577
2014-10-23T00:00:00Z