Skip to content
Log in
Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

N. Robine

h-index 39 View on Semantic Scholar

We have 3 of 157 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Oct 2026

Abstract C126: Integrated whole genome and transcriptome analyses reveal ancestry-associated molecular features of breast cancer

Women of African ancestry experience disproportionately aggressive breast cancer (BC) and poorer survival yet remain substantially underrepresented in cancer genomic studies. Consequently, the contribution of inherited genetic ancestry to breast tumor biology remains poorly understood. To address this gap, we lev...

Rachel Martini, William Hooper, Timothy R. Chu et al. · 0 citations
Open access Oct 2026

DECONVersation: Single Cell Foundation Model-Derived Embeddings for Robust Cell Type Deconvolution of Bulk RNA-seq

AI and deep learning have transformed single-cell transcriptomics, empowering unsupervised annotation, trajectory inference, and cross-dataset integration at scale. Here, we propose bulk RNA-seq deconvolution as a novel task for single-cell foundation models. Deconvolution estimates cell type proportions from bulk RNA-...

Ali Oku, Heather Geiger, N. Robine et al. · 0 citations
Open access Aug 2026

A compendium of next-generation patient-derived models for diverse cancers

A large-scale international programme—the Human Cancer Models Initiative—is presented, which involved the generation of a resource of 665 next-generation models from 2,780 donors with 25 cancer types and integrated tumour–model whole genome, exome, methylome and transcriptome analyses.

Dina Elharouni, Mushriq Al-Jazrawe, Seongmin Choi et al. · 7 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.