Article

Identifying Treatment Related Signatures In Glioblastoma Using KaleidoCell

2026-05-16

Abstract excerpt

Understanding how transcriptional heterogeneity is organized across tumors, patients, and treatment conditions remains a central challenge in cancer biology. Here, we present kaleidoCell, a GPU-accelerated Python framework for consensus non-negative matrix factorization that identifies reproducible meta-programs across independent samples. When benchmarked against its principal counterpart, the geneNMF R package,...

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Literature Corpus work: 9a7fc823-e171-5844-9e44-3342013c2fcd
DOI: 10.64898/2026.05.13.724848

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