cancer-data
There are 2 repositories under cancer-data topic.
urmi-21 / MetaOmGraph
MetaOmGraph: a workbench for interactive exploratory data analysis of large expression datasets
Language:Java 32sigven / pharmOncoX
Targeted and non-targeted anticancer drugs and drug regimens
Language:R 24HelikarLab / CancerDiscover
Open-source software pipeline for cancer classification from high-throughput data using machine learning.
Language:Perl 17- AICancer
justin13601 / AICancer
A Machine Learning Classifier for Lung & Colon Cancer Histopathological Images.
Language:Jupyter Notebook 15 sumanth-bmsce / Deep-Neural-Network-for-Clustering
Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means technique
Language:Python 13MoganaD / Machine-Learning-on-Breast-Cancer-Survival-Prediction
We used different machine learning approaches to build models for detecting and visualizing important prognostic indicators of breast cancer survival rate. This repository contains R source codes for 5 steps which are, model evaluation, Random Forest further modelling, variable importance, decision tree and survival analysis. These can be a pipeline for researcher who are interested to conduct studies on survival prediction of any type of cancers using multi model data.
Language:R 10nyukat / pathology_extraction
Improving Information Extraction from Pathology Reports using Named Entity Recognition
Language:Python 10zhangxiaoyu11 / OmiTrans
The first GANs-based omics-to-omics translation framework
Language:Python 9Syksy / curatedPCaData
Bioconductor R-package: Curated Prostate Cancer Data
Language:R 8JWellsBio / Chemosensitivity
Predicting chemosensitivity using gene expression
Language:R 7kmezhoud / canceR
:chart: The package is user friendly interface based on the cgdsr and other modeling packages to explore, compare, and analyse all available Cancer Data (Clinical data, Gene Mutation, Gene Methylation, Gene Expression, Protein Phosphorylation, Copy Number Alteration) hosted by the Computational Biology Center at Memorial-Sloan-Kettering Cancer Center (MSKCC).
Language:R 7aydinnyunus / cancerdetection
Breast Cancer Detection
breast-cancerbreast-cancer-wisconsinbreast-cancer-predictionbreast-cancer-diagnosisbreast-cancer-detectioncancercancer-detectioncancer-datamedicinemedicineworksmachine-learningmachinelearningmachine-learning-algorithmsmachinelearning-pythonmachine-learning-modelsmakine-ogrenmesimakinedeep-learningdeeplearningdeep-neural-networksbaezortega / somatypus
A Platypus-based variant calling pipeline for cancer data
Language:Python 6djdhiraj / Machine-Learning
A comprehensive comparison of decision tree and random forest for cancer classification.
Language:Jupyter Notebook 5manjunath-satyamurthy / decision-trees-cancer-prediction-
An example of predicting breast cancer using existing data to learn with decision trees (scikit-learn/python)
Language:Python 5nirupamaprv / Practical_Stats
Exercises solved for the Practical Statistics Module of Udacity's DAND: assignments and practice problems
Language:Jupyter Notebook 5- Language:Python 5
- Feature-selcetion
ahmadali-jamali / Feature-selcetion
Feature selection comparison in breath cancer dataset
Language:Python 4 SPellegrene / CancerTrialApp
Helping cancer patients find a second opinion anywhere in the US within seconds.
Language:JavaScript 4Examples on processing and working with TCGA mutation and RNA-Seq data
Language:R 4abhinav7sinha / cancer-geovisualizations
Interactive geovisualizations of NY cancer data using Plotly
Language:Jupyter Notebook 3kamilyassis / Projeto-ICD
A partir da Cadeira de Introdução a Ciência de Dados (ICD), com o Professor Yuri Malheiros, na Universidade Federal da Paraíba (UFPB), nós, Adriel, Jessica e Kamily, faremos uma analise dos dados estatísticos de casos de câncer, relacionados a certas idades, a fim de responder perguntas pré-definidas.
Language:Jupyter Notebook 3akram-mohammed / CancerDiscover
Open-source command-line pipeline for cancer type classification of high-throughput data using machine learning.
Language:Perl 2bhklab / consensusOV
Implements four major subtype classifiers for high-grade serous (HGS) ovarian cancer.
Language:R 2jonathanmendoza-tx / Cancer-Project
Predict patient survivability after a cancer diagnosis
Language:Jupyter Notebook 2- pathology_gan
karray / pathology_gan
Generative Adversarial Networks for Digital Pathology
Language:Jupyter Notebook 2 - Language:Java 2
- Language:JavaScript 1
JuanDGuerra20 / CDC_Analysis
Using data from the CDC to track diseases and what might be their causes. Heavily based on data analysis. STILL UNDER CONSTRUCTION!
Language:Python 1krishan57gupta / iCTC
The goal of iCTC is to detect whether peripheral blood cells have CTCs (circulating tumor cell) or not.
Language:R 1lukemccl / CancerExploration
Computational Biology Coursework centred around exploring cancer data for common genotypic and phenotypic trends
Language:Jupyter Notebook 1NabinAdhikari674 / Cancer-Detection
Dissertation on Cancer Detection [Prostate Cancer] Research and Study
Language:Python 1pranath / breast_cancer_prediction
In this project I will look at a dataset of patient data relating to breast cancer, and develop a machine learning model that will aim to predict Malignant tumors with the highest accuracy.
Language:Jupyter Notebook 1- Language:Python 1
YoannPa / biotab.manager
Scripts to manage biotab files from TCGA.
Language:R 1JoyMwamuye / Cancer-Deaths-1990-2019
Cancer deaths are on an alarming rise. Let us explore the global cancer mortality data for 29 different types of cancers from 1990-2019.
