Topic: cancer-data Goto Github
Some thing interesting about cancer-data
Some thing interesting about cancer-data
cancer-data,Interactive geovisualizations of NY cancer data using Plotly
User: abhinav7sinha
cancer-data,Feature selection comparison in breath cancer dataset
User: ahmadali-jamali
cancer-data,A project for my Advanced Artificial Intelligence class to apply AI methods to a real-world problem.
User: andrew-kulpa
cancer-data,3D Visualization of Clustering of Cancer Samples
User: anniepyim
cancer-data,Breast Cancer Detection
User: aydinnyunus
cancer-data,A Platypus-based variant calling pipeline for cancer data
User: baezortega
cancer-data,Implements four major subtype classifiers for high-grade serous (HGS) ovarian cancer.
Organization: bhklab
cancer-data,A comprehensive comparison of decision tree and random forest for cancer classification.
User: djdhiraj
cancer-data,A compendium of public data and mimic data used to illustrate marketing tactics
User: enragedspark596
cancer-data,Open-source software pipeline for cancer classification from high-throughput data using machine learning.
Organization: helikarlab
Home Page: https://helikarlab.github.io/CancerDiscover/
cancer-data,Predict patient survivability after a cancer diagnosis
User: jonathanmendoza-tx
Home Page: https://medium.com/can-it-be-predicted/survival-after-cancer-diagnosis-eb17a8d82080
cancer-data,Cancer deaths are on an alarming rise. Let us explore the global cancer mortality data for 29 different types of cancers from 1990-2019.
User: joymwamuye
cancer-data,Using data from the CDC to track diseases and what might be their causes. Heavily based on data analysis. STILL UNDER CONSTRUCTION!
User: juandguerra20
cancer-data,A Machine Learning Classifier for Lung & Colon Cancer Histopathological Images.
User: justin13601
cancer-data,Predicting chemosensitivity using gene expression
User: jwellsbio
cancer-data,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.
User: kamilyassis
cancer-data,Generative Adversarial Networks for Digital Pathology
User: karray
cancer-data,: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).
User: kmezhoud
cancer-data,The goal of iCTC is to detect whether peripheral blood cells have CTCs (circulating tumor cell) or not.
User: krishan57gupta
cancer-data,This repository is for an IBM course: Exploratory Data Analysis for Machine Learning
User: linahourieh
cancer-data,Computational Biology Coursework centred around exploring cancer data for common genotypic and phenotypic trends
User: lukemccl
cancer-data,An example of predicting breast cancer using existing data to learn with decision trees (scikit-learn/python)
User: manjunath-satyamurthy
cancer-data,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.
User: moganad
cancer-data,Prediction of Cancer Using Machine Learning Model
User: mrigankjaiswal-hub
cancer-data,Used Pandas and Python plotting libraries - Matplotlib & Bokeh to analyze and visualize data of a clinical trial to test four potential treatment drugs and their possible effects on tumor volume, metastasis and survival rate | UT Data Analysis and Visualization Nov 2019 - May 2020
User: mtbulut
cancer-data,Dissertation on Cancer Detection [Prostate Cancer] Research and Study
User: nabinadhikari674
cancer-data,http://analysis.clickgenome.org/
User: nerososft
Home Page: http://www.clickgenome.org
cancer-data,Exercises solved for the Practical Statistics Module of Udacity's DAND: assignments and practice problems
User: nirupamaprv
cancer-data,Improving Information Extraction from Pathology Reports using Named Entity Recognition
Organization: nyukat
cancer-data,A Python client for the cbioPortal Cancer API.
User: odagayev
cancer-data,Final-year project: System for aggregation and structured querying of cancer pathway data
User: ol-th
cancer-data,The goal of this project is to classify cancerous images (IDC : invasive ductal carcinoma) vs non-IDC images.
User: pradnya1208
cancer-data,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.
User: pranath
cancer-data,Diagnostic Cancer Solution - Machine Learning APP with Wisconsin Breast Cancer Database.
User: rainer85ah
cancer-data,Cancer Drug Response API
User: risto-trajanov
cancer-data,Used Pandas and Python plotting libraries - Matplotlib & Bokeh to analyze and visualize data of a clinical trial to test four potential treatment drugs and their possible effects on tumor volume, metastasis and survival rate | UT Data Analysis and Visualization Nov 2019 - May 2020
User: sheetalbongale
cancer-data,This project is my first step into the world of Data Science, thanks to my professor Dr.Helen and my teammates for helping me do this project. The project deals with the analysis of cancer data from www.cancer.org for the years 2011-2014.
User: shrirachana
cancer-data,Targeted and non-targeted anticancer drugs and drug regimens
User: sigven
Home Page: https://sigven.github.io/pharmOncoX/
cancer-data,KMeans Clustering on Cancer Data Set
User: skn1998
cancer-data,Helping cancer patients find a second opinion anywhere in the US within seconds.
User: spellegrene
cancer-data,Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means technique
User: sumanth-bmsce
cancer-data,Bioconductor R-package: Curated Prostate Cancer Data
User: syksy
cancer-data,The goal is to use Machine Learning to classify the Cancer as Benign or Malignant. I got a 96.4% accuracy by using the KNearest Neighbors strategy.
User: umang080799
cancer-data,MetaOmGraph: a workbench for interactive exploratory data analysis of large expression datasets
User: urmi-21
Home Page: http://metnetweb.gdcb.iastate.edu/MetNet_MetaOmGraph.htm
cancer-data,Examples on processing and working with TCGA mutation and RNA-Seq data
User: urmi-21
cancer-data,SVC model predictions on cancer dataset of sklearn and also used GridSearchCV to find the best parameters for the SVC model
User: vishalyo990
cancer-data,Researcher may manipulate their own cancer data via this open source platform.
User: worldstar
cancer-data,Recursive Multi-view Integration for Subtypes Identification
User: xfurna
cancer-data,Scripts to manage biotab files from TCGA.
User: yoannpa
cancer-data,The first GANs-based omics-to-omics translation framework
User: zhangxiaoyu11
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