Mixture models for analysis of melting temperature data

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2105

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Mixture models for analysis of melting temperature data ; volume:9 ; number:1 ; day:11 ; month:9 ; year:2008 ; pages:1-6 ; date:12.2008
BMC bioinformatics ; 9, Heft 1 (11.9.2008), 1-6, 12.2008

Creator: Nellåker, Christoffer

Contributor: Uhrzander, Fredrik
Tyrcha, Joanna
Karlsson, Håkan
SpringerLink (Online service)

DOI: 10.1186/1471-2105-9-370

URN: urn:nbn:de:1111-201602174439

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:24 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

Nellåker, Christoffer
Uhrzander, Fredrik
Tyrcha, Joanna
Karlsson, Håkan
SpringerLink (Online service)

Other Objects (12)

TEMPRO: nanobody melting temperature estimation model using protein embeddings

Fitting Gaussian mixture models on incomplete data

Poly(L-lactide): Optimization of Melting Temperature and Melting Enthalpy

Hochschulschrift

Parameter estimation for mixture models given grouped data

Hochschulschrift

Parameter Estimation for Mixture Models Given Grouped Data

Correction: Fitting Gaussian mixture models on incomplete data

Hochschulschrift

Prediction with mixture models

Hochschulschrift

Prediction with Mixture Models

Model selection for mixture hidden Markov models: an application to clickstream data

Marginalized mixture models for count data from multiple source populations

A mixture model for signature discovery from sparse mutation data

k-Boxplots for mixture data

TEMPRO: nanobody melting temperature estimation model using protein embeddings

Fitting Gaussian mixture models on incomplete data

Poly(L-lactide): Optimization of Melting Temperature and Melting Enthalpy

Hochschulschrift

Parameter estimation for mixture models given grouped data

Hochschulschrift

Parameter Estimation for Mixture Models Given Grouped Data

Correction: Fitting Gaussian mixture models on incomplete data

Hochschulschrift

Prediction with mixture models

Hochschulschrift

Prediction with Mixture Models

Model selection for mixture hidden Markov models: an application to clickstream data

Marginalized mixture models for count data from multiple source populations

A mixture model for signature discovery from sparse mutation data

k-Boxplots for mixture data

TEMPRO: nanobody melting temperature estimation model using protein embeddings

Fitting Gaussian mixture models on incomplete data

Poly(L-lactide): Optimization of Melting Temperature and Melting Enthalpy

Hochschulschrift

Parameter estimation for mixture models given grouped data

Hochschulschrift

Parameter Estimation for Mixture Models Given Grouped Data

Correction: Fitting Gaussian mixture models on incomplete data

Hochschulschrift

Prediction with mixture models

Hochschulschrift

Prediction with Mixture Models

Model selection for mixture hidden Markov models: an application to clickstream data

Marginalized mixture models for count data from multiple source populations

A mixture model for signature discovery from sparse mutation data

k-Boxplots for mixture data

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.

Mixture models for analysis of melting temperature data

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

TEMPRO: nanobody melting temperature estimation model using protein embeddings

Fitting Gaussian mixture models on incomplete data

Poly(L-lactide): Optimization of Melting Temperature and Melting Enthalpy

Parameter estimation for mixture models given grouped data

Parameter Estimation for Mixture Models Given Grouped Data

Correction: Fitting Gaussian mixture models on incomplete data

Prediction with mixture models

Prediction with Mixture Models

Model selection for mixture hidden Markov models: an application to clickstream data

Marginalized mixture models for count data from multiple source populations

A mixture model for signature discovery from sparse mutation data

k-Boxplots for mixture data

TEMPRO: nanobody melting temperature estimation model using protein embeddings

Fitting Gaussian mixture models on incomplete data

Poly(L-lactide): Optimization of Melting Temperature and Melting Enthalpy

Parameter estimation for mixture models given grouped data

Parameter Estimation for Mixture Models Given Grouped Data

Correction: Fitting Gaussian mixture models on incomplete data

Prediction with mixture models

Prediction with Mixture Models

Model selection for mixture hidden Markov models: an application to clickstream data

Marginalized mixture models for count data from multiple source populations

A mixture model for signature discovery from sparse mutation data

k-Boxplots for mixture data

TEMPRO: nanobody melting temperature estimation model using protein embeddings

Fitting Gaussian mixture models on incomplete data

Poly(L-lactide): Optimization of Melting Temperature and Melting Enthalpy

Parameter estimation for mixture models given grouped data

Parameter Estimation for Mixture Models Given Grouped Data

Correction: Fitting Gaussian mixture models on incomplete data

Prediction with mixture models

Prediction with Mixture Models

Model selection for mixture hidden Markov models: an application to clickstream data

Marginalized mixture models for count data from multiple source populations

A mixture model for signature discovery from sparse mutation data

k-Boxplots for mixture data

Related objects

Reset password