Unsupervised gene expression analyses identify IPF-severity correlated signatures, associated genes and biomarkers.

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Modeling Idiopathic Pulmonary Fibrosis in Humanized SCID Mice.Changing Trends in Computational Drug Repositioning.

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Unsupervised gene expression analyses identify IPF-severity correlated signatures, associated genes and biomarkers.

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2017 nî lūn-bûn

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Unsupervised gene expression a ...... sociated genes and biomarkers.

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Unsupervised gene expression a ...... sociated genes and biomarkers.

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Unsupervised gene expression a ...... sociated genes and biomarkers.

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Unsupervised gene expression a ...... sociated genes and biomarkers.

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Unsupervised gene expression a ...... sociated genes and biomarkers.

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Unsupervised gene expression a ...... sociated genes and biomarkers.

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Unsupervised gene expression a ...... ssociated genes and biomarkers

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Francis X McCormack

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Jaswanth Yella

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Satish K Madala

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Yunguan Wang

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P2860

Gene expression profiles of acute exacerbations of idiopathic pulmonary fibrosis

Heterogeneous gene expression signatures correspond to distinct lung pathologies and biomarkers of disease severity in idiopathic pulmonary fibrosis

Matrix metalloproteinases as therapeutic targets for idiopathic pulmonary fibrosis

Time- and compartment-resolved proteome profiling of the extracellular niche in lung injury and repair

Three-dimensional reconstruction of protein networks provides insight into human genetic disease

DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants

UniProt: a hub for protein information

Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments

limma powers differential expression analyses for RNA-sequencing and microarray studies

Classification of usual interstitial pneumonia in patients with interstitial lung disease: assessment of a machine learning approach using high-dimensional transcriptional data.

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s12890-017-0472-9

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scholarly article

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10.1186/S12890-017-0472-9

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Anil G. Jegga

Jing Chen

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2017-10-20T00:00:00Z

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1092333665

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Unsupervised gene expression analyses identify IPF-severity correlated signatures, associated genes and biomarkers.

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P2860

P2860

Unsupervised gene expression analyses identify IPF-severity correlated signatures, associated genes and biomarkers.

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