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FUCCItrack: an all-in-one software for single cell tracking and cell cycle an...
This dataset has no description
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Effect of capillary fluid flow on single cancer cell cycle dynamics, motility...
This dataset has no description
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OncodriveFM
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... -
Multi-parmetric MRI prostate images
Development and investigation of a multiparametric magnetic resonance CAD system for prostate cancer (CaP) detection. Data associated with chapter 6 of Guillaume Lemaitre's... -
OncodriveCLUST
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... -
Raw data to support the manuscript with the following intended title: High-p...
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:... -
Original multi-parametric MRI images of prostate
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... -
OncodriveFML
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... -
Biological effects of cytotoxic inflammatory proteins formulated as self-asse...
Data describing the biological effects of cytotoxic inflammatory proteins formulated as self-assembling, protein-only nanoparticles METHODOLOGICAL INFORMATION Description of... -
DCE-MRI (Dynamic Contrast Enhanced - Magnetic Resonance Imaging) prostate images
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:... -
OncodriveRole
Machine-learning based approach to classify cancer driver genes into to Activating or Loss of Function roles for cancer gene development. -
IntOGen - Pipeline
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... -
IntOGen - Cancer driver database (2013)
Mutations, genes and pathways involved in tumorigenesis across 4,623 cancer genomes/exomes from 13 cancer sites. IntOGen-mutations identifies cancer drivers across tumor types.... -
Exploring comorbidity prevalence in cancer
Comorbidities can have major implications for cancer care. They might impact the timing of cancer diagnosis, compromise optimal care, affect treatment outcomes and increase... -
Data publication: The DRESDEN PLATFORM – A Research Hub for Ultra-high Dose R...
Source data, scripts and parts of figures to generate the figures in publication -
Analysis of symptoms of rural workers exposed to pesticides
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... -
AfterLife
Abstract: AfterLife (2003) is a heartfelt drama depicting the complex relationship between Kenny, an investigative journalist, and his sister Roberta, who has Down syndrome.... -
How does the anti-tumor drug paclitaxel change the dynamics on breast cancer ...
Cells are complex systems where small fragments play an interdependent role. The functionality of these systems can be distinct at different length and timescales, depending on... -
ESTIMATING PERSON-CENTERED TREATMENT (PeT) EFFECTS USING INSTRUMENTAL VARIABL...
This paper builds on the methods of local instrumental variables developed by Heckman and Vytlacil (1999, 2001, 2005) to estimate person-centered treatment (PeT) effects that... -
Head and Neck Cancer Multivariate Blood Data
Data for the September 2021 submission to eLife. This is the source data for multivariate regression. Progression free survival outcome. Blood samples from 56 HNSCC patients...
