43 datasets found

Multi-parametric magnetic resonance imaging (MRI) dataset for prostate cancer detection. The purpose of this dataset is to help at the development of computer-aided detection...

Development and investigation of a multiparametric magnetic resonance CAD system for prostate cancer (CaP) detection. Data associated with chapter 6 of Guillaume Lemaitre's...

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of prostate cancer to facilitate its diagnosis. A 3mm slice fat-suppressed T2W fast spin-echo sequence (TR/TE/ETL:...

Raw data of a set of experiments aimed to target cancer-associated PDGFR-β+ stromal fibroblasts. Generic methodologies used here are similar to those described in doi:...

Machine-learning based approach to classify cancer driver genes into to Activating or Loss of Function roles for cancer gene development.

OncodriveFM detects candidate cancer driver genes and pathways from catalogs of somatic mutations in a cohort of tumors by computing the bias towards the accumulation of...

OncodriveCLUST is a method aimed to identify genes whose mutations are biased towards a large spatial clustering. This method is designed to exploit the feature that mutations...

Method to identify genomic regions, both coding and non-coding, bearing mutations with significant shift towards high functional impact across a cohort of tumos (FMbias), which...

Analyses somatic mutations in thousands of tumor genomes to identify cancer driver genes. Requirements: IntOGen depends on Python 3.4 or above and some python libraries. If you...

The first aim was to compare, in a cohort study enrolling older adults (>65 years) with lung, gastrointestinal and prostate cancer, different easy measures of frailty...

Data describing the biological effects of cytotoxic inflammatory proteins formulated as self-assembling, protein-only nanoparticles METHODOLOGICAL INFORMATION Description of...

This repository contains spatial transcriptomics data generated with Visium in three modalities: Visium v1, Visium v2/CytAssist, and Visium HD. These data were used in the...

This cross-sectional study was conducted in southern Minas Gerais, in two counties: São Gonçalo do Sapucaí and Silvianópolis. Presented as objective to verify the important...

This repository contains spatial transcriptomics data generated with Visium in three modalities: Visium v1, Visium v2/CytAssist, and Visium HD. These data were used in the...

Collection of neural network models for automatic image segmentation of microscopic tumor spheroids. Intended to be used with nnU-Net deep-learning framework. Trained and tested...

The refined PanNuke and MoNuSAC Cell Segmentation and Classification Dataset is a unified collection of H&E-stained image patches with cell instance annotations and seven...

Comorbidities can have major implications for cancer care. They might impact the timing of cancer diagnosis, compromise optimal care, affect treatment outcomes and increase...

Overview of Acton lab projects and research questions 2016-2023

TCR-seq data for the manuscript 'Determinants of anti-PD-1 response and resistance in clear cell renal cell carcinoma'

Poster for the 2021 CRUK Cancer Evolution Symposium. Colorectal cancer (CRC) tumours present as a heterocellular setting where the colon epithelia harbouring oncogenic...