Santiago García‐Martín

A single-cell atlas linking intratumoral states to therapeutic vulnerabilities across cancers

The paper presents a pan-cancer single-cell atlas linking intratumoral states to therapeutic vulnerabilities by integrating transcriptomics, copy-number alterations, and drug-response predictions across 34 tumor types.

Beyond one-size-fits-all: single-cell transcriptomic signatures predict drug efficacy and reveal responder subgroups in endometriosis

This paper uses single-cell transcriptomics to identify drug response subgroups and therapeutic targets in endometriosis, revealing tissue-specific and inter-patient heterogeneity.

Beyondcell: targeting cancer therapeutic heterogeneity in single-cell RNA-seq

Beyondcell identifies drug-responsive subpopulations in single-cell RNA-seq data and proposes cancer-specific treatments by analyzing therapeutic clusters and differential drug sensitivity.

DREIMT: a drug repositioning database and prioritization tool for immunomodulation.

DREIMT prioritizes immunomodulatory drugs by analyzing gene expression signatures and drug profiles.