Show/Hide Menu
Hide/Show Apps
anonymousUser
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Frequently Asked Questions
Frequently Asked Questions
Browse
Browse
By Issue Date
By Issue Date
Authors
Authors
Titles
Titles
Subjects
Subjects
Communities & Collections
Communities & Collections
Development and application of a modified dynamic time warping algorithm (DTW-S) to analyses of primate brain expression time series
Download
index.pdf
Date
2011-08-18
Author
Yuan, Yuan
Chen, Yi-Ping Phoebe
Ni, Shengyu
Xu, Augix Guohua
Tang, Lin
Vingron, Martin
Somel, Mehmet
Khaitovich, Philipp
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
3
views
4
downloads
Background: Comparing biological time series data across different conditions, or different specimens, is a common but still challenging task. Algorithms aligning two time series represent a valuable tool for such comparisons. While many powerful computation tools for time series alignment have been developed, they do not provide significance estimates for time shift measurements.
Subject Keywords
Biochemistry
,
Applied Mathematics
,
Molecular Biology
,
Structural Biology
,
Computer Science Applications
URI
https://hdl.handle.net/11511/36919
Journal
BMC BIOINFORMATICS
DOI
https://doi.org/10.1186/1471-2105-12-347
Collections
Department of Biology, Article