Identification of drug-specific pathways based on gene expression data: application to drug induced lung injury

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: 10.1039/c4ib00294f

Event: Veröffentlichung

(where): Aachen

(who): Universitätsbibliothek der RWTH Aachen

(when): 2015

Creator: Melas, Ioannis N.
Sakellaropoulos, Theodore
Iorio, Francesco
Alexopoulos, Leonidas G.
Loh, Wei-Yin
Lauffenburger, Douglas A.
Sáez Rodríguez, Julio
Bai, Jane P. F.

DOI: 10.18154/RWTH-CONV-091542

URN: urn:nbn:de:101:1-2018112206163818486359

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:51 AM CEST

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Associated

Melas, Ioannis N.
Sakellaropoulos, Theodore
Iorio, Francesco
Alexopoulos, Leonidas G.
Loh, Wei-Yin
Lauffenburger, Douglas A.
Sáez Rodríguez, Julio
Bai, Jane P. F.
Universitätsbibliothek der RWTH Aachen

Time of origin

2015

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Identification of drug-specific pathways based on gene expression data: application to drug induced lung injury

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Other Objects (12)

Modular analysis of signal transduction networks

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Modular analysis of signal transduction networks

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Personalized signaling models for personalized treatments

In silico Prioritization of Transporter-Drug Relationships From Drug Sensitivity Screens

Multi-scale molecular descriptions of human heart failure using single cell, spatial, and bulk transcriptomics

Enablers and challenges of spatial omics, a melting pot of technologies

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Modeling intra- and intercellular communication in the context of human cancer from high-throughput data

Personalized signaling models for personalized treatments

Embracing the Dark Side: Computational Approaches to Unveil the Functionality of Genes Lacking Biological Annotation in Drug-Induced Liver Injury

Identifying Drug Effects via Pathway Alterations using an Integer Linear Programming Optimization Formulation on Phosphoproteomic Data

From gene expression to pathway and transcription factor activities to study chronic liver diseases

Modular analysis of signal transduction networks

Looking beyond the cancer cell for effective drug combinations

Personalized signaling models for personalized treatments

In silico Prioritization of Transporter-Drug Relationships From Drug Sensitivity Screens

Multi-scale molecular descriptions of human heart failure using single cell, spatial, and bulk transcriptomics

Enablers and challenges of spatial omics, a melting pot of technologies

Bridging the gap between signalling and metabolism through functional and mechanistic analysis of multi-omic data

Modeling intra- and intercellular communication in the context of human cancer from high-throughput data

Personalized signaling models for personalized treatments

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Identifying Drug Effects via Pathway Alterations using an Integer Linear Programming Optimization Formulation on Phosphoproteomic Data

From gene expression to pathway and transcription factor activities to study chronic liver diseases

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