activity
20132024
most citedTargeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple High-Dimensional Data Classes

25 citations · 27 across the 4 of their papers we have counts for

collaborators

5 papers

stat.AP2024

On the Relation Between Autoencoders and Non-negative Matrix Factorization, and Their Application for Mutational Signature Extraction

Ida Egendal, Rasmus Froberg Brøndum, Marta Pelizzola +2

The aim of this study is to provide a foundation to understand the relationship between non-negative matrix factorization (NMF) and non-negative autoencoders enabling proper interp…

stat.ML2019★ 2 cited

Regression on imperfect class labels derived by unsupervised clustering

Rasmus Froberg Brøndum, Thomas Yssing Michaelsen, Martin Bøgsted

Outcome regressed on class labels identified by unsupervised clustering is custom in many applications. However, it is common to ignore the misclassification of class labels caused…

stat.ME2015★ 25 cited

Targeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple High-Dimensional Data Classes

Anders Ellern Bilgrau, Carel F. W. Peeters, Poul Svante Eriksen +2

We consider the problem of jointly estimating multiple inverse covariance matrices from high-dimensional data consisting of distinct classes. An -penalized maximum likeliho…

stat.ML2015

Estimating a common covariance matrix for network meta-analysis of gene expression datasets in diffuse large B-cell lymphoma

Anders Ellern Bilgrau, Rasmus Froberg Brøndum, Poul Svante Eriksen +2

The estimation of covariance matrices of gene expressions has many applications in cancer systems biology. Many gene expression studies, however, are hampered by low sample size an…

stat.AP2013

Reproducible probe-level analysis of the Affymetrix Exon 1.0 ST array with R/Bioconductor

Maria Rodrigo-Domingo, Rasmus Waagepetersen, Julie Støve Bødker +5

The presence of different transcripts of a gene across samples can be analysed by whole-transcriptome microarrays. Reproducing results from published microarray data represents a c…