Monografie
Integrativer Ansatz zur Identifizierung neuer, prognostisch relevanter Metagene mittels Clusteranalyse
- Language
-
Deutsch
- Identifier
-
1108585760
Subject
Histologie; Cytologie; Hochschulschrift
Contributor
- URN
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
26.01.2023, 1:53 PM CET
Other Objects (12)
Finite Bayesian mixture models with applications in spatial cluster analysis and bioinformatics
Discovering genetic interactions based on natural genetic variation
Entmischung und Inferenz biomolekularer Netzwerke
Enrichment design and sensitivity preferred classification
Statistische Methoden zur Identifikation von Patientensubgruppen aus Hochdurchsatzdaten
Statistische Analyse und Modellierung von Clusterphänomenen bei Signalproteinen in der Plasmamembran
Survival models with gene groups as covariates
Statistische Analyse von MCC-IMS-Messungen
Statistical modeling of protein-protein interaction networks
Subgroup analyses and investigations of treatment effect heterogeneity in clinical dose-finding trials
Survival models with selection of genomic covariates in heterogeneous cancer studies
Regularization approaches in clinical biostatistics: a review of methods and their applications
Finite Bayesian mixture models with applications in spatial cluster analysis and bioinformatics
Discovering genetic interactions based on natural genetic variation
Entmischung und Inferenz biomolekularer Netzwerke
Enrichment design and sensitivity preferred classification
Statistische Methoden zur Identifikation von Patientensubgruppen aus Hochdurchsatzdaten
Statistische Analyse und Modellierung von Clusterphänomenen bei Signalproteinen in der Plasmamembran
Survival models with gene groups as covariates
Statistische Analyse von MCC-IMS-Messungen
Statistical modeling of protein-protein interaction networks
Subgroup analyses and investigations of treatment effect heterogeneity in clinical dose-finding trials
Survival models with selection of genomic covariates in heterogeneous cancer studies
Regularization approaches in clinical biostatistics: a review of methods and their applications
Finite Bayesian mixture models with applications in spatial cluster analysis and bioinformatics
Discovering genetic interactions based on natural genetic variation
Entmischung und Inferenz biomolekularer Netzwerke
Enrichment design and sensitivity preferred classification
Statistische Methoden zur Identifikation von Patientensubgruppen aus Hochdurchsatzdaten
Statistische Analyse und Modellierung von Clusterphänomenen bei Signalproteinen in der Plasmamembran
Survival models with gene groups as covariates
Statistische Analyse von MCC-IMS-Messungen
Statistical modeling of protein-protein interaction networks
Subgroup analyses and investigations of treatment effect heterogeneity in clinical dose-finding trials
Survival models with selection of genomic covariates in heterogeneous cancer studies