Book section

Simplicial models and topological inference in biological systems

Abstract:: This book contains expository chapters on how contemporary models from discrete mathematics – in domains such as algebra, combinatorics, and graph and knot theories – can provide perspective on biomolecular problems ranging from data ...

Publication status:: Published

Peer review status:: Peer reviewed

Actions

Email

Email this record

Send the bibliographic details of this record to your email address.

Your Email
Please enter the email address that the record information will be sent to.

-
Your message (optional)
Please add any additional information to be included within the email.
Cite

Cite this record

APA Style

Nanda, V., & Sazdanovic, R. (2014). Simplicial models and topological inference in biological systems. In Discrete and Topological Models in Molecular Biology (pp. 109–141). Springer Berlin Heidelberg.

MLA Style

Nanda, V., and R. Sazdanovic. “Simplicial Models and Topological Inference in Biological Systems.” Discrete and Topological Models in Molecular Biology, Springer Berlin Heidelberg, 2014, pp. 109–41.

Chicago Style

Nanda, V, and R Sazdanovic. 2014. “Simplicial Models and Topological Inference in Biological Systems.” In Discrete and Topological Models in Molecular Biology, 109–41. Natural Computing Series. Springer Berlin Heidelberg.
Share
Print

Access Document

Publisher copy:: 10.1007/978-3-642-40193-0_6

Authors

+ Nanda, V More by this author

Institution:: University of Oxford
Division:: MPLS
Department:: Mathematical Institute
Role:: Author

+ Sazdanovic, R More by this author

Role:: Author

+ National Science Foundation: 0935165 More from this funder

Funding agency for:: Sazdanovic, R

+ Federal contract: FA9550-09-1-0643 More from this funder

Funding agency for:: Nanda, V

+ Federal contract: FA9550-12-1-0416 More from this funder

Funding agency for:: Nanda, V; Sazdanovic, R

Publisher:: Springer Berlin Heidelberg
Host title:: Discrete and Topological Models in Molecular Biology
Pages:: 109-141
Series:: Natural Computing Series
Publication date:: 2014-01-15
DOI:: 10.1007/978-3-642-40193-0_6
ISSN:: 1619-7127
ISBN-10:: 3642401937
ISBN-13:: 9783642401930

Keywords:: SBTMR

computers
Pubs id:: pubs:673277
UUID:: uuid:ebf1884d-0a24-4bde-877d-e0d68b2778d8
Local pid:: pubs:673277
Source identifiers:: 673277
Deposit date:: 2017-01-27

Terms of use

Copyright holder:: Springer-Verlag Berlin Heidelberg
Copyright date:: 2014

Licence:: Terms and Conditions of Use for Oxford University Research Archive

Views and Downloads

About views and downloads

If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP