LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures.
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Systems Biology-Based Investigation of Cellular Antiviral Drug Targets Identified by Gene-Trap Insertional MutagenesisModulators of hepatic lipoprotein metabolism identified in a search for small-molecule inducers of tribbles pseudokinase 1 expressionPublic data and open source tools for multi-assay genomic investigation of diseaseGeroprotectors.org: a new, structured and curated database of current therapeutic interventions in aging and age-related diseaseCheminformatics Research at the Unilever Centre for Molecular Science Informatics CambridgeElucidating the modes of action for bioactive compounds in a cell-specific manner by large-scale chemically-induced transcriptomicsSystematic Quality Control Analysis of LINCS DataSystematic discovery of drug action mechanisms by an integrated chemical genomics approach: identification of functional disparities between azacytidine and decitabineExplore Small Molecule-induced Genome-wide Transcriptional Profiles for Novel Inflammatory Bowel Disease DrugHigh throughput toxicity screening and intracellular detection of nanomaterialsRepresenting high throughput expression profiles via perturbation barcodes reveals compound targetsLean Big Data integration in systems biology and systems pharmacology.Compound signature detection on LINCS L1000 big data.Publisher’s Note:Abstraction for data integration:Fusing mammalian molecular, cellular and phenotype big datasets for better knowledge extraction.The amniotic fluid transcriptome as a guide to understanding fetal disease.Big-data-based edge biomarkers: study on dynamical drug sensitivity and resistance in individuals.Role of innate immunity-triggered pathways in the pathogenesis of Sickle Cell Disease: a meta-analysis of gene expression studiesAn in vivo molecular response analysis of colorectal cancer treated with Astragalus membranaceus extractPhenoMeter: A Metabolome Database Search Tool Using Statistical Similarity Matching of Metabolic Phenotypes for High-Confidence Detection of Functional LinksReduced-representation Phosphosignatures Measured by Quantitative Targeted MS Capture Cellular States and Enable Large-scale Comparison of Drug-induced PhenotypesDetection and removal of spatial bias in multiwell assays.Proteogenomics connects somatic mutations to signalling in breast cancer.Real-Time Biological Annotation of Synthetic Compounds.A review of connectivity map and computational approaches in pharmacogenomics.Fine-tuning of macrophage activation using synthetic rocaglate derivatives.In silico methods for drug repurposing and pharmacologyA Perspective on Implementing a Quantitative Systems Pharmacology Platform for Drug Discovery and the Advancement of Personalized Medicine.Concerted changes in transcriptional regulation of genes involved in DNA methylation, demethylation, and folate-mediated one-carbon metabolism pathways in the NCI-60 cancer cell line panel in response to cancer drug treatmentThe harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins.Virtual screening-driven repositioning of etoposide as CD44 antagonist in breast cancer cellsImportance of rare gene copy number alterations for personalized tumor characterization and survival analysis.A cloud-based workflow to quantify transcript-expression levels in public cancer compendia.Individualized network-based drug repositioning infrastructure for precision oncology in the panomics era.Effects of mannose-binding lectin on pulmonary gene expression and innate immune inflammatory response to ozone.l1kdeconv: an R package for peak calling analysis with LINCS L1000 data.Detecting and removing multiplicative spatial bias in high-throughput screening technologies.In silico polypharmacology of natural products.Identification of novel chemotherapeutic strategies for metastatic uveal melanoma.Identification of clinically predictive metagenes that encode components of a network coupling cell shape to transcription by image-omics.Functional variomics and network perturbation: connecting genotype to phenotype in cancer.
P2860
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P2860
LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունիսին 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
LINCS Canvas Browser: interact ...... 00 gene expression signatures.
@ast
LINCS Canvas Browser: interact ...... 00 gene expression signatures.
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type
label
LINCS Canvas Browser: interact ...... 00 gene expression signatures.
@ast
LINCS Canvas Browser: interact ...... 00 gene expression signatures.
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LINCS Canvas Browser: interact ...... 00 gene expression signatures.
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LINCS Canvas Browser: interact ...... 00 gene expression signatures.
@en
P2093
P2860
P50
P356
P1476
LINCS Canvas Browser: interact ...... 00 gene expression signatures.
@en
P2093
Aravind Subramanian
Christopher M Tan
Corey Flynn
Edward Y Chen
Jeremy L Muhlich
Nicolas F Fernandez
Qiaonan Duan
Todd R Golub
P2860
P304
P356
10.1093/NAR/GKU476
P407
P433
Web Server issue
P577
2014-06-06T00:00:00Z