Automated Author ProfileGermann, Anja
Fraunhofer Institute for Biomedical Engineering
Germann, Anja
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 4.9 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This is the data repository to the manuscript "Insights to HIV-1 coreceptor usage by estimating HLA adaptation with Bayesian generalized linear mixed models".
It contains a minimal data set to reproduce all results that don't compromise the privacy concerns.
The repository contains the following data: adaptscore_acute.csv A csv file that contains the estimated adaptation scores for the acute data set with HLA I model. adaptscore_leftout.csv A csv file that contains the estimated adaptation scores for the leftout data set with the joint HLA I and HLA II model adaptscore_training.csv A csv file that contains the estimated adaptation scores for the traininig data set with the joint HLA I and HLA II model adaptscore_training_hla1_without_clin.csv A csv file that contains the estimated adaptation scores for the training data set with the HLA I model (via cross-validation) adaptscore_training_seed2.csv A csv file that contains the estimated adaptation scores for the training data set with the joint HLA I and HLA II model via cross-validation with another seed env_leftout.fasta A fasta file that contains the consensus nucleotide sequences for the env protein for the leftout data set env_nt_274.fasta A fasta file that contains the consensus nucleotide sequences for the env protein for the training data set gag_leftout.fasta A fasta file that contains the consensus nucleotide sequences for the gag protein for the leftout data set gag_nt_274.fasta A fasta file that contains the consensus nucleotide sequences for the gag protein for the training data set
Authors
- Hake, Anna ;
- Germann, Anja ;
- de Beer, Corena ;
- Thielen, Alexander ;
- Däumer, Martin ;
- Preiser, Wolfgang ;
- von Briesen, Hagen ;
- Pfeifer, Nico
This repository contains a minimal data set to reproduce all results that don't compromise the privacy concerns for the manuscript "Insights to HIV-1 coreceptor usage by estimating HLA adaptation with Bayesian generalized linear mixed models".
The repository contains the following data: adaptscore_acute.csv A csv file that contains the estimated adaptation scores for the acute data set with HLA I model. adaptscore_leftout.csv A csv file that contains the estimated adaptation scores for the leftout data set with the joint HLA I and HLA II model adaptscore_training.csv A csv file that contains the estimated adaptation scores for the traininig data set with the joint HLA I and HLA II model adaptscore_training_hla1_without_clin.csv A csv file that contains the estimated adaptation scores for the training data set with the HLA I model (via cross-validation) adaptscore_training_seed2.csv A csv file that contains the estimated adaptation scores for the training data set with the joint HLA I and HLA II model via cross-validation with another seed
Authors
- Hake, Anna ;
- Germann, Anja ;
- de Beer, Corena ;
- Thielen, Alexander ;
- Däumer, Martin ;
- Preiser, Wolfgang ;
- von Briesen, Hagen ;
- Pfeifer, Nico
This repository contains a minimal data set to reproduce all results that don't compromise the privacy concerns for the manuscript "Insights to HIV-1 coreceptor usage by estimating HLA adaptation with Bayesian generalized linear mixed models".
The repository contains the following data: adaptscore_acute.csv A csv file that contains the estimated adaptation scores for the acute data set with HLA I model. adaptscore_leftout.csv A csv file that contains the estimated adaptation scores for the leftout data set with the joint HLA I and HLA II model adaptscore_training.csv A csv file that contains the estimated adaptation scores for the traininig data set with the joint HLA I and HLA II model adaptscore_training_hla1_without_clin.csv A csv file that contains the estimated adaptation scores for the training data set with the HLA I model (via cross-validation) adaptscore_training_seed2.csv A csv file that contains the estimated adaptation scores for the training data set with the joint HLA I and HLA II model via cross-validation with another seed
Authors
- Hake, Anna ;
- Germann, Anja ;
- de Beer, Corena ;
- Thielen, Alexander ;
- Däumer, Martin ;
- Preiser, Wolfgang ;
- von Briesen, Hagen ;
- Pfeifer, Nico