Identification of Causal Dependences in Gene Regulatory Networks Using 
Algorithmic Information Theory

Lohmann, J.; Janzing, D.

doi:10.1007/978-3-319-54729-9_14

Local TagsRelease HistoryDetailsSummary

Identification of Causal Dependences in Gene Regulatory Networks Using Algorithmic Information Theory

Lohmann, J., & Janzing, D. (2018). Identification of Causal Dependences in Gene Regulatory Networks Using Algorithmic Information Theory. In M. Bossert (Ed.), Information- and Communication Theory in Molecular Biology (pp. 315-330). Cham: Springer. doi:10.1007/978-3-319-54729-9_14.

Item is Released

show all hide all

Basic

show hide

Item Permalink: https://hdl.handle.net/21.11116/0000-0003-BDA2-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0003-C95D-3

Genre: Book Chapter

Files

show Files

Locators

show

Creators

show

hide

Creators:
Lohmann, J.¹, Author
Janzing, D.², Author

Affiliations:
1External Organizations, ou_persistent22
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647

Content

show

hide

Free keywords: Abt. Schölkopf

Abstract: -

Details

show

hide

Language(s): eng - English

Dates: Published Online: 2017-08-02Published in Print: 2018

Publication Status: Published in print

Pages: -

Publishing info: -

Table of Contents: -

Rev. Type: -

Identifiers: DOI: 10.1007/978-3-319-54729-9_14

Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show

hide

Title: Information- and Communication Theory in Molecular Biology

Source Genre: Book

Creator(s):
Bossert, M.¹, Editor

Affiliations:
1 External Organizations, ou_persistent22

Publ. Info: Cham : Springer

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 315 - 330 Identifier: ISBN: 978-3-319-54728-2
ISBN: 978-3-319-54729-9
DOI: 10.1007/978-3-319-54729-9