Signatures of cell death and proliferation in perturbation transcriptomics data : from confounding factor to effective prediction

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: 10.1093/nar/gkz805

Event: Veröffentlichung

(where): Aachen

(who): Universitätsbibliothek der RWTH Aachen

(when): 2019

Creator: Szalai, Bence Z.
Subramanian, Vigneshwari
Holland, Christian H.
Alföldi, Róbert
Puskás, László G.
Sáez Rodríguez, Julio

DOI: 10.18154/RWTH-2020-01303

URN: urn:nbn:de:101:1-2020111910255435974409

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:21 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Szalai, Bence Z.
Subramanian, Vigneshwari
Holland, Christian H.
Alföldi, Róbert
Puskás, László G.
Sáez Rodríguez, Julio
Universitätsbibliothek der RWTH Aachen

Time of origin

2019

Other Objects (12)

Hochschulschrift

Modular analysis of signal transduction networks

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

Personalized signaling models for personalized treatments

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

Looking beyond the cancer cell for effective drug combinations

CySBGN: A Cytoscape plug-in to integrate SBGN maps

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

Reverse engineering of logic-based differential equation models using a mixed-integer dynamic optimization approach

How will artificial intelligence and bioinformatics change our understanding of IgA Nephropathy in the next decade?

Hochschulschrift

Modular analysis of signal transduction networks

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

Personalized signaling models for personalized treatments

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

Looking beyond the cancer cell for effective drug combinations

CySBGN: A Cytoscape plug-in to integrate SBGN maps

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

Reverse engineering of logic-based differential equation models using a mixed-integer dynamic optimization approach

How will artificial intelligence and bioinformatics change our understanding of IgA Nephropathy in the next decade?

Hochschulschrift

Modular analysis of signal transduction networks

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

Personalized signaling models for personalized treatments

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

Looking beyond the cancer cell for effective drug combinations

CySBGN: A Cytoscape plug-in to integrate SBGN maps

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

Reverse engineering of logic-based differential equation models using a mixed-integer dynamic optimization approach

How will artificial intelligence and bioinformatics change our understanding of IgA Nephropathy in the next decade?

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Signatures of cell death and proliferation in perturbation transcriptomics data : from confounding factor to effective prediction

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Time of origin

Other Objects (12)

Modular analysis of signal transduction networks

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

Personalized signaling models for personalized treatments

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

Looking beyond the cancer cell for effective drug combinations

CySBGN: A Cytoscape plug-in to integrate SBGN maps

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

Reverse engineering of logic-based differential equation models using a mixed-integer dynamic optimization approach

How will artificial intelligence and bioinformatics change our understanding of IgA Nephropathy in the next decade?

Modular analysis of signal transduction networks

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

Personalized signaling models for personalized treatments

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

Looking beyond the cancer cell for effective drug combinations

CySBGN: A Cytoscape plug-in to integrate SBGN maps

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

Reverse engineering of logic-based differential equation models using a mixed-integer dynamic optimization approach

How will artificial intelligence and bioinformatics change our understanding of IgA Nephropathy in the next decade?

Modular analysis of signal transduction networks

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

Personalized signaling models for personalized treatments

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

Looking beyond the cancer cell for effective drug combinations

CySBGN: A Cytoscape plug-in to integrate SBGN maps

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

Reverse engineering of logic-based differential equation models using a mixed-integer dynamic optimization approach

How will artificial intelligence and bioinformatics change our understanding of IgA Nephropathy in the next decade?

Related objects

Reset password