Jen Jen Yeh

This study identifies NEIL2 as a regulator of RNA polymerase II dynamics that suppresses transcription replication conflicts in pancreatic cancer cells.

The paper identifies combinatorial KRAS/FGFR dependence in pancreatic cancer through genetic interaction mapping and shows that combined inhibition overcomes resistance.

This study shows that daraxonrasib, a pan-RAS(on) inhibitor, effectively inhibits TNBC cell proliferation and tumor growth, either alone or in combination with a MEK inhibitor.

The paper develops a classifier, DeCAF, to identify permissive and restraining cancer-associated fibroblast subtypes from bulk RNAseq data and validates its clinical relevance across multiple cancer types.

S3R models spatially varying associations in spatial transcriptomics data by estimating location-specific coefficients with structured sparsity and smoothness penalties, showing effectiveness in synthetic and real datasets.

This study identifies PCSK9 as a key determinant of metastatic organ preference in pancreatic cancer by regulating cholesterol acquisition and utilization in liver versus lung environments.

This study quantifies kinase protein abundance in human tissues using proteomic mass spectrometry, revealing heterogeneity in breast cancer subtypes and enabling clinical applications.

This study shows that eliminating nSMase2 in pancreatic cancer reduces tumor growth, promotes a less aggressive tumor subtype, and enhances immune responses by altering exosome production and macrophage polarization.

The paper links kinase inhibitor treatment effects to cell line responses using integrated kinome profiling data and builds predictive models with high accuracy.

SCISSORS identifies rare cell types in scRNA-seq data through semi-supervised reclustering and marker gene detection.

The paper links kinome state with cell viability in PDAC tumor and stroma cell lines using regression and classification models, finding predictive relationships and key kinases driving viability responses.

The paper uses single-cell RNA sequencing to analyze murine pancreatic duct cells, identifying heterogeneity and functional roles in disease progression.

DECODER deconvolves tumor samples to estimate compartment weights, showing clinical relevance in pancreatic cancer and applicability to other data types.