Brian Karlberg

MedicineComputer ScienceBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 2 papers. Top paper: “Classification of non-TCGA cancer samples to TCGA molecular subtypes using compact feature sets”.

Classification of non-TCGA cancer samples to TCGA molecular subtypes using compact feature sets

Cancer Cell(2025)10.1016/j.ccell.2024.12.002

N/A

0.803DataRank · unranked

29 citations

Christopher K. Wong, Christina Yau, Mauro A.A. Castro, Jordan Lee, Brian Karlberg +24 more

SyntheVAEiser: augmenting traditional machine learning methods with VAE-based gene expression sample generation for improved cancer subtype predictions

Genome biology(2024)10.1186/s13059-024-03431-3

N/A

0DataRank · unranked

4 citations

Raphael Kirchgaessner, Jordan Lee, Matthew Peterkort, Liam Beckman, Jeremy Goecks +2 more