Discovering telomerase inhibitors with machine learning.
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Updated
May 18, 2024 - Jupyter Notebook
Discovering telomerase inhibitors with machine learning.
Gotta keep the brain empty to learn more. This is my easily digestible backup.
A cancer staging client library for Java applications.
Files and code used to generate the CARTAR app to identify and validate CAR targets for cancer treatment.
Files and code used to generate the CARTAR app to identify and validate CAR targets for cancer treatment.
CancerDB: a computable encyclopedia about cancer.
Patient-Specific Modeling in Python
The Website of the Ramiréz Lab
Automation scripts and benchmark dataset package for cancer drug prediction deep learning models.
🧬 Cancer research, simulations and science.
🧬 The COVID-19 pandemic, high-performance computing and cancer research.
Analysis pipeline to detect germline or somatic variants (pre-processing, variant calling and annotation) from WGS / targeted sequencing
Provide R access to the NCI Genomic Data Commons portal.
analysis related to the FITNESS Study at OSU
Opensource radiation treatment planning system in Python [AAPM'23]
Detecting mutational signatures via bayesian inference and a reference catalog
CIViC is an open access, open source, community-driven web resource for Clinical Interpretation of Variants in Cancer
SpecHLA reconstructs entire diploid sequences of HLA genes and infers LOH events. It supports HLA-A, -B, -C, -DPA1, -DPB1, -DQA1, -DQB1, and -DRB1 genes. Also, it supports both short- and long-read data.
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