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cancer-data

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urmi-21 /MetaOmGraph

MetaOmGraph: a workbench for interactive exploratory data analysis of large expression datasets

bioinformatics rna-seq exploratory-data-analysis transcriptomics mog cancer-data big-data-visualization

UpdatedMay 20, 2022
Java

sigven /pharmOncoX

Targeted and non-targeted anticancer drugs and drug regimens

r pharmacology drug cancer-data drug-targets oncology-data drug-target-interactions

UpdatedMar 13, 2025
R

AICancer

justin13601 /AICancer

A Machine Learning Classifier for Lung & Colon Cancer Histopathological Images.

machine-learning artificial-intelligence neural-networks image-classification cancer-data

UpdatedJun 21, 2022
Jupyter Notebook

HelikarLab /CancerDiscover

Open-source software pipeline for cancer classification from high-throughput data using machine learning.

machine-learning opensource weka cancer-genomics cancer-data

UpdatedFeb 19, 2019
Perl

nyukat /pathology_extraction

Improving Information Extraction from Pathology Reports using Named Entity Recognition

named-entity-recognition nlp-machine-learning cancer-data breast-cancer medical-application pathology-report

UpdatedNov 8, 2023
Python

MoganaD /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 pipe…

machine-learning variable-importance survival-analysis decision-trees breast-cancer-prediction prediction-model cancer-data

UpdatedNov 1, 2020
R

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

deep-neural-networks deep-learning clustering feature-extraction confusion-matrix autoencoders cancer-data

UpdatedFeb 25, 2018
Python

zhangxiaoyu11 /OmiTrans

The first GANs-based omics-to-omics translation framework

deep-learning generative-adversarial-network cancer-genomics cancer-data omics-data gans-models

UpdatedSep 5, 2023
Python

Syksy /curatedPCaData

Bioconductor R-package: Curated Prostate Cancer Data

r cancer cancer-genomics r-package cancer-research cancer-data

UpdatedOct 1, 2024
R

JWellsBio /Chemosensitivity

Predicting chemosensitivity using gene expression

cancer cancer-genomics cancer-genome-atlas predictive-analysis chemoinformatics predictive-modeling predictive-analytics cancer-research prediction-model generalized-linear-models cancer-data chemogenomics

UpdatedMay 13, 2020
R

kmezhoud /canceR

💹 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 …

gene gene-sets r cancer tcltk gene-expression methylation mutations cancer-data mskcc gene-mutation gene-methylation

UpdatedMar 1, 2024
R

baezortega /somatypus

A Platypus-based variant calling pipeline for cancer data

pipeline somatic-variants variants indels cancer-data

UpdatedJun 23, 2022
Python

nirupamaprv /Practical_Stats

Exercises solved for the Practical Statistics Module of Udacity's DAND: assignments and practice problems

python statistics coins cancer-data udacity-data-analyst-nanodegree admissions-data law-of-large-numbers central-limit-theorem binomial-distribution

UpdatedDec 7, 2017
Jupyter Notebook

odagayev /cbio_py

A Python client for the cbioPortal Cancer API.

genomics cancer-genomics cancer-data

UpdatedSep 9, 2022
Python

manjunath-satyamurthy /decision-trees-cancer-prediction-

An example of predicting breast cancer using existing data to learn with decision trees (scikit-learn/python)

python machine-learning scikit-learn machine-learning-algorithms id3 decision-trees cancer-research cancer-data

UpdatedMar 26, 2017
Python

djdhiraj /Machine-Learning

A comprehensive comparison of decision tree and random forest for cancer classification.

predictive-modeling prediction-model tensorflow-models cancer-data time-series-analysis iris-dataset gaussian-naive-bayes-implementation decisiontree-vs-randomforest

UpdatedAug 28, 2019
Jupyter Notebook

aydinnyunus /cancerdetection

Breast Cancer Detection

machine-learning deep-neural-networks medicine deep-learning cancer machine-learning-algorithms machinelearning deeplearning breast-cancer-prediction breast-cancer-wisconsin cancer-data breast-cancer machine-learning-models cancer-detection makine-ogrenmesi makine breast-cancer-diagnosis machinelearning-python breast-cancer-detection medicineworks

UpdatedOct 14, 2019

Feature-selcetion

ahmadali-jamali /Feature-selcetion

Feature selection comparison in breath cancer dataset

python data-science machine-learning statistics random-forest modeling lasso feature-selection artificial-intelligence comparison feature-extraction pca preprocessing feature-engineering cancer-data chi univariate kaggel-dataset

UpdatedMar 2, 2023
Python

urmi-21 /TCGA-Data-Analysis

Examples on processing and working with TCGA mutation and RNA-Seq data

gtex tcgabiolinks tcga-data bioinformatics-analysis cancer-data

UpdatedMay 4, 2019
R

SPellegrene /CancerTrialApp

Helping cancer patients find a second opinion anywhere in the US within seconds.

doctor cancer healthcare-application cancer-data cancer-patients

UpdatedMar 22, 2017
JavaScript

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