A computational oncology application that analyzes and presents 3D MRI data of tumor growth in rat brains.
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Updated
Mar 9, 2018 - MATLAB
A computational oncology application that analyzes and presents 3D MRI data of tumor growth in rat brains.
Spreadsheets from my work as Radiation Physicist Assistant at Cookeville Regional Medical Center
Identification of novel lncRNAs in non-small cell lung cancer. RNA-sequencing course (467713), University of Bern
Tumors detections on MRI slice using semantic segmentation.
Data analysis of how two TPSs determine which DVH points to export
Personalized Network-based Anti-Cancer Therapy Appointment
Biorepository application for tracking biospecimens.
Warlock is a snakemake workflow to spawn multiple demons (deme-based oncology models) as jobs running around on a cluster environment 😈😈
Research code for the investigation of the role of sample size in synthetic data generation
A systematic approach in using GEO2R for investigating gene expression differences between a low-metastatic group and the highly metastatic MDA-MB-231 (TNBC) human breast cancer cell lines.
R Package that extracts chemotherapy regimens from drug exposures in the OMOP CDM
This work is an initial investigation into the predictive potential of a range of machine learning algorithms applied to baseline circulating biomarkers for the prognostic stratification of patients with advanced neuroendocrine tumours receiving 177Lu oxodotreotide therapy
Use of kmeans segmentation algorithm to classify dermis, epidermis and tumor infiltration.
CAYA Analysis
Crossmapped phenotype ontologies for the oncology domain
Predict whether cancer present is through benign tumor or malignant through the use of neural networks in Rstudio.
Deep learning model to predict chemotherapeutic sensitivity based on transcriptomic data.
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