Joo Sang Lee

AI-Driven Spatial Transcriptomics Unlocks Large-Scale Breast Cancer Biomarker Discovery from Histopathology

Path2Space predicts spatial gene expression and tumor microenvironment from histopathology slides, identifying new breast cancer subgroups and improving biomarker prediction.

Path2Omics: Enhanced transcriptomic and methylation prediction accuracy from tumor histopathology

Path2Omics predicts gene expression and methylation from histopathology slides across 23 cancer types, outperforming previous models and showing effectiveness in predicting patient outcomes.

Identification of targetable vulnerabilities of PLK1-overexpressing cancers by synthetic dosage lethality

The paper identifies synthetic dosage lethality targets for PLK1-overexpressing cancers using genome-wide screens and validates key hits to show their therapeutic potential.

Clinically oriented prediction of patient response to targeted and immunotherapies from the tumor transcriptome

ENLIGHT predicts patient response to targeted and immunotherapies using tumor transcriptomes without prior treatment response data, showing better accuracy than existing transcriptomics-based signatures.

Synthetic lethality-based prediction of anti-SARS-CoV-2 targets

The paper predicts anti-SARS-CoV-2 targets by identifying synthetic lethal partners of host genes altered during infection, validated through CRISPR-Cas9 screens and siRNA experiments.

Deconvolving clinically relevant cellular immune crosstalk from bulk gene expression using CODEFACS and LIRICS

The paper develops CODEFACS and LIRICS to deconvolve bulk gene expression and identify clinically relevant ligand-receptor interactions in tumors, finding specific T-cell interactions linked to anti-PD1 response.

Migration rather than proliferation transcriptomic signatures are strongly associated with breast cancer patient survival

This study compares proliferation and migration transcriptomic signatures in breast cancer, finding migration is more strongly linked to patient survival.

Beyond synthetic lethality: charting the landscape of clinically relevant genetic interactions in cancer

The paper identifies 71,946 genetic interactions in cancer using a novel method, revealing non-synthetic-lethal interactions that explain driver gene specificity and drug response.