Covariance of maximum likelihood evolutionary distances between sequences aligned pairwise
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2148
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Covariance of maximum likelihood evolutionary distances between sequences aligned pairwise ; volume:8 ; number:1 ; day:23 ; month:6 ; year:2008 ; pages:1-9 ; date:12.2008
BMC evolutionary biology ; 8, Heft 1 (23.6.2008), 1-9, 12.2008
- Creator
-
Dessimoz, Christophe
- Contributor
-
Gil, Manuel
SpringerLink (Online service)
- DOI
-
10.1186/1471-2148-8-179
- URN
-
urn:nbn:de:1111-201604154378
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
30.08.2025, 3:37 PM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Dessimoz, Christophe
- Gil, Manuel
- SpringerLink (Online service)
Other Objects (12)
Inconsistency evaluation in pairwise comparison using norm-based distances
Estimates of introgression as a function of pairwise distances
On pairwise distances and median score of three genomes under DCJ
Restricted maximum likelihood estimation of genetic principal components and smoothed covariance matrices
Pairwise classification and pairwise support vector machines
Pairwise Classification and Pairwise Support Vector Machines
Truncated pair-wise likelihood for the Brown-Resnick process with applications to maximum temperature data
Pairwise relatedness testing in the context of inbreeding: expectation and variance of the likelihood ratio
An efficient exact algorithm for computing all pairwise distances between reconciliations in the duplication-transfer-loss model
Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure
Estimating the Covariance Matrix of the Maximum Likelihood Estimator Under Linear Cluster-Weighted Models
Scattering amplitudes for monopoles: pairwise little group and pairwise helicity
Inconsistency evaluation in pairwise comparison using norm-based distances
Estimates of introgression as a function of pairwise distances
On pairwise distances and median score of three genomes under DCJ
Restricted maximum likelihood estimation of genetic principal components and smoothed covariance matrices
Pairwise classification and pairwise support vector machines
Pairwise Classification and Pairwise Support Vector Machines
Truncated pair-wise likelihood for the Brown-Resnick process with applications to maximum temperature data
Pairwise relatedness testing in the context of inbreeding: expectation and variance of the likelihood ratio
An efficient exact algorithm for computing all pairwise distances between reconciliations in the duplication-transfer-loss model
Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure
Estimating the Covariance Matrix of the Maximum Likelihood Estimator Under Linear Cluster-Weighted Models
Scattering amplitudes for monopoles: pairwise little group and pairwise helicity
Inconsistency evaluation in pairwise comparison using norm-based distances
Estimates of introgression as a function of pairwise distances
On pairwise distances and median score of three genomes under DCJ
Restricted maximum likelihood estimation of genetic principal components and smoothed covariance matrices
Pairwise classification and pairwise support vector machines
Pairwise Classification and Pairwise Support Vector Machines
Truncated pair-wise likelihood for the Brown-Resnick process with applications to maximum temperature data
Pairwise relatedness testing in the context of inbreeding: expectation and variance of the likelihood ratio
An efficient exact algorithm for computing all pairwise distances between reconciliations in the duplication-transfer-loss model
Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure
Estimating the Covariance Matrix of the Maximum Likelihood Estimator Under Linear Cluster-Weighted Models