pdac

The current study provides a comprehensive insights into the PDAC metastatic biology.

🏆1st place in the PANORAMA challenge (early detection of PDAC on contrast-enhanced CT)

This is repo for the code used in (Carpenter, Elhossiny, Kadiyala et al, Cancer Discovery, 2023) paper from the Pasca lab

Resolving the GPRC5A prognostic paradox in PDAC: subtype stratification, treatment deconfounding, proteomics, AlphaFold2, ML (R) — manuscript in prep

Pancreatic Ductal Adenocarcinoma (PDAC) is highly aggressive and often diagnosed late. This project aims to identify reliable genomic biomarkers for PDAC by integrating a Next-Generation Sequencing (NGS) pipeline with advanced Machine Learning algorithms.

Integrative transcriptomic profiling to identify molecular signatures driving PNI in PDAC using the GSE102238 dataset.

Single Cell Atlas - PDAC

Feature Selection benchmark and analysis on multi-omics PDAC datasets

In-silico agent-based framework for coexistence-control of pancreatic cancer (PDAC) via food-medicine-homology compounds

caner cell: Immune checkpoint HLA-E:CD94-NKG2A mediates evasion of circulating tumor cells from NK cell surveillance

Numerical simulation of the evolution of the pancreatic cancer and the axons regulation

Pipeline Multimodal Federado para PDAC Implementação prática

This repository demonstrates an independent analysis of miRNA differential expression in Pancreatic Ductal Adenocarcinoma (PDAC), using publicly available datasets.

Cell-resolved Xenium analysis of ion-channel expression and stromal cell states in treated pancreatic ductal adenocarcinoma

Bioinformatics workflow for stromal ion channel analysis in pancreatic ductal adenocarcinoma using single-cell, bulk RNA-seq, and spatial transcriptomics data.

Automated segmentation of pre-cancerous PanIN lesions from confocal microscopy stacks — Python pipeline using random-forest + morphological classification, validated with Dice, IoU, and Cohen's kappa.

Evaluating AlphaMissense pathogenicity scores for PDAC diagnostics and molecular subtyping, using TCGA-PAAD and 1000 Genomes data

A leakage-free ML pipeline for early pancreatic cancer detection from CT scans — combining handcrafted radiomics (PyRadiomics, ComBat) with volumetric deep learning (3D ResNet-10, MONAI) and explainable AI (SHAP, Grad-CAM).

Please cite our paper: Bhyravbhatla N*, Alsafwani ZW*, Thapa I, et al. Targeting Oncomucin-driven Immunosuppression Improves the Efficacy of K-rasG12D Inhibition in Pancreatic Cancer. Gastroenterology. Published online May 25, 2026. doi:10.1053/j.gastro.2026.04.041

Cell-resolved Xenium analysis quantifying KCNMA1 spatial organization in fibroblast niches and its association with the PDAC tumor-stroma interface