Onkobioloogia loeng genoomikorrashoiu mehhanismidest
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Updated
Dec 4, 2017 - HTML
Onkobioloogia loeng genoomikorrashoiu mehhanismidest
this project is about visualizing DNA or protein sequence data. the goal of this project is to help physicians find relation between different type of cancer or same cancer but different patients. So far three types of logo can be generated. these are Sequence logo, Mutation logo and Multiview logo. Sequence logo counts the frequency of nucleoba…
Neoplasm Entity Recognition: matching disease names to ontology classes
Code for figure generation and analysis in Finding driver mutations in cancer: Elucidating the role of background mutational processes https://doi.org/10.1371/journal.pcbi.1006981
It is a site that shows the activities of the cancer support group Uwezo
Core cancer metabolism model of Palsson et al: https://rdcu.be/Olwc
Simple scripts to parallelize miRNA analysis with sRNAtoolbox performed for my Master thesis.
Analysis of an anti-cancer drug's regimen vs other drug regimens in a mouse study.
analyzing images of mechanical stimulation on low elastic modulus dishes (mSLED)
Cervical Cancer Cell Detection using Image Processing and MATLAB
Predict the effect of genetic mutations in cancer tumors and classify them based on text clinical literature.
Invasive ductal carcinoma (IDC) is - with ~ 80 % of cases - one of the most common types of breast cancer. It's malicious and able to form metastases which makes it especially dangerous.
Code for the article "Cancer cells forgo translating the transcribed genes of non-specialized tasks"
To Determine which features of data (measurements) are most important for diagnosing breast cancer and find out if breast cancer occurs or not.
An implementation of Machine Learning and Data Science on a Breast Cancer study from Memorial Sloan Kettering Cancer Center from 2018. All data was made available on cBioPortal.
This repository contains about my personal project about cancer statistics prediction from 2020
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