Lean Big Data integration in systems biology and systems pharmacology.
about
Bioinformatics Mining and Modeling Methods for the Identification of Disease Mechanisms in Neurodegenerative DisordersBiomarker-based drug safety assessment in the age of systems pharmacology: from foundational to regulatory scienceData integration in biological research: an overviewLinking rare and common disease: mapping clinical disease-phenotypes to ontologies in therapeutic target validationSystematic 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 DrugHarnessing Big Data for Systems PharmacologyRelating Chemical Structure to Cellular Response: An Integrative Analysis of Gene Expression, Bioactivity, and Structural Data Across 11,000 Compounds.AuPairWise: A Method to Estimate RNA-Seq Replicability through Co-expression.Detection and removal of spatial bias in multiwell assays.Integrating Multiple Evidence Sources to Predict Adverse Drug Reactions Based on a Systems Pharmacology Model.The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins.Combinatorial Ranking of Gene Sets to Predict Disease Relapse: The Retinoic Acid Pathway in Early Prostate Cancer.In silico ADME/T modelling for rational drug design.Methods, Tools and Current Perspectives in Proteogenomics.Metabolic systems biology: a brief primer.A blueprint of cell identity.Complex systems biologyRepositioning of a cyclin-dependent kinase inhibitor GW8510 as a ribonucleotide reductase M2 inhibitor to treat human colorectal cancer.Integrative cancer pharmacogenomics to establish drug mechanism of action: drug repurposing.The Big Picture: Systems Biology Approach to Antiepileptic Drug Discovery.Data Portal for the Library of Integrated Network-based Cellular Signatures (LINCS) program: integrated access to diverse large-scale cellular perturbation response data.Establishing a distributed national research infrastructure providing bioinformatics support to life science researchers in Australia.In silico and in vitro identification of inhibitory activities of sorafenib on histone deacetylases in hepatocellular carcinoma cells.Massive mining of publicly available RNA-seq data from human and mouse.Network-Based Methods for Prediction of Drug-Target InteractionsDistributed retrieval engine for the development of cloud-deployed biological databases
P2860
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P2860
Lean Big Data integration in systems biology and systems pharmacology.
description
2014 nî lūn-bûn
@nan
2014 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի օգոստոսին 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
Lean Big Data integration in systems biology and systems pharmacology.
@ast
Lean Big Data integration in systems biology and systems pharmacology.
@en
type
label
Lean Big Data integration in systems biology and systems pharmacology.
@ast
Lean Big Data integration in systems biology and systems pharmacology.
@en
prefLabel
Lean Big Data integration in systems biology and systems pharmacology.
@ast
Lean Big Data integration in systems biology and systems pharmacology.
@en
P2093
P2860
P50
P1476
Lean Big Data integration in systems biology and systems pharmacology.
@en
P2093
Neil R Clark
Qiaonan Duan
P2860
P304
P356
10.1016/J.TIPS.2014.07.001
P577
2014-08-07T00:00:00Z