Network modeling of the transcriptional effects of copy number aberrations in glioblastoma. - Wikidata - awgldk - TriplyDB

Network modeling of the transcriptional effects of copy number aberrations in glioblastoma.

Network modeling of the transcriptional effects of copy number aberrations in glioblastoma.

http://www.wikidata.org/entity/Q39551687

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Bridging scales in cancer progression: mapping genotype to phenotype using neural networks Biological Networks for Cancer Candidate Biomarkers Discovery SNP microarray analyses reveal copy number alterations and progressive genome reorganization during tumor development in SVT/t driven mice breast cancer Uncovering MicroRNA and Transcription Factor Mediated Regulatory Networks in Glioblastoma An integrative characterization of recurrent molecular aberrations in glioblastoma genomes.Voting-based cancer module identification by combining topological and data-driven properties Identifying core gene modules in glioblastoma based on multilayer factor-mediated dysfunctional regulatory networks through integrating multi-dimensional genomic data.Discovering key regulatory mechanisms from single-factor and multi-factor regulations in glioblastoma utilizing multi-dimensional data.A non-negative matrix factorization method for detecting modules in heterogeneous omics multi-modal data.A new molecular signature method for prediction of driver cancer pathways from transcriptional data.Inferring causal genomic alterations in breast cancer using gene expression data.Modeling time-dependent transcription effects of HER2 oncogene and discovery of a role for E2F2 in breast cancer cell-matrix adhesion TLX activates MMP-2, promotes self-renewal of tumor spheres in neuroblastoma and correlates with poor patient survival.Modules, networks and systems medicine for understanding disease and aiding diagnosis.Genome-wide associations of signaling pathways in glioblastoma multiforme Bridging the Gap between Genotype and Phenotype via Network Approaches.Sparse conditional logistic regression for analyzing large-scale matched data from epidemiological studies: a simple algorithm Integrative multi-omics module network inference with Lemon-Tree Comparative transcriptomics reveals similarities and differences between astrocytoma grades.Studying a complex tumor: potential and pitfalls.Systematic analysis of somatic mutations impacting gene expression in 12 tumour types.The power of boolean implication networks.Inferring transcriptional and microRNA-mediated regulatory programs in glioblastoma.Gene network-based cancer prognosis analysis with sparse boosting Computational Identification of Tumor Anatomic Location Associated with Survival in 2 Large Cohorts of Human Primary Glioblastomas Why does melanoma metastasize into the brain? Genes with pleiotropic effects might be the key RHPN2 drives mesenchymal transformation in malignant glioma by triggering RhoA activation.Importance of rare gene copy number alterations for personalized tumor characterization and survival analysis.Integrative genomics with mediation analysis in a survival context.Genomics of acute myeloid leukemia: the next generation.Network approaches to drug discovery.Bridging the gaps in systems biology.HIT'nDRIVE: patient-specific multidriver gene prioritization for precision oncology.Integrative Modeling Reveals Annexin A2-mediated Epigenetic Control of Mesenchymal Glioblastoma.Clinical implications of omics and systems medicine: focus on predictive and individualized treatment.Integrating Heterogeneous Datasets for Cancer Module Identification.Causal Mechanistic Regulatory Network for Glioblastoma Deciphered Using Systems Genetics Network Analysis.Efficient exploration of pan-cancer networks by generalized covariance selection and interactive web content.A validated gene regulatory network and GWAS identifies early regulators of T cell-associated diseases.Avoiding pitfalls in L1-regularised inference of gene networks.

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Network modeling of the transcriptional effects of copy number aberrations in glioblastoma.

http://www.wikidata.org/entity/Q39551687

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Network modeling of the transc ...... r aberrations in glioblastoma.

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Network modeling of the transc ...... r aberrations in glioblastoma.

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Network modeling of the transc ...... r aberrations in glioblastoma.

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Molecular Systems Biology

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Network modeling of the transc ...... r aberrations in glioblastoma.

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Bodil Nordlander

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Chris Sander

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P2860

Learning a prior on regulatory potential from eQTL data

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