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ebiomedicine

Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study

echo-mimiciii

Transthoracic echocardiography and mortality in sepsis: analysis of the MIMIC-III database

ecotyper

EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.

ehrapy

Electronic Health Record Analysis with Python.

emv-3d-cnn

escc_ml

Deep-learning Radiomics for Classification Modelling

explainx

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ [email protected]

fae

FeAture Explorer

ggrandomforests

Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages.

gtsummary

Presentation-Ready Data Summary and Analytic Result Tables

hdnom

🔮 Benchmarking and visualization toolkit for penalized Cox models

hvpg

Predictive model for the diagnosis of CSPH

icellr

Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq and Spatial Transcriptomics (ST)).

immuneaginganalysis

immunedeconv

A unified interface to immune deconvolution methods (CIBERSORT, EPIC, quanTIseq, TIMER, xCell, MCPcounter) and mouse deconvolution methods

iobr

IOBR is an R package to perform comprehensive analysis of tumor microenvironment and signatures for immuno-oncology.

irls

Machine learning-based integrative analysis develops an immune-derived lncRNA signature for improving clinical outcomes in colorectal cancer

jmbayes2

Extended Joint Models for Longitudinal and Survival Data

joiner

R package for fitting joint models to time-to-event and longitudinal data

jstable

Regression Tables from 'GLM', 'GEE', 'GLMM', 'Cox' and 'survey' Results.

kernelshap

Efficient R implementation of SHAP

lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

lcmm

R package lcmm

lime

Lime: Explaining the predictions of any machine learning classifier

lld-mmri2023

[MICCAI2023 Challenge] Liver Lesion Diagnosis Challenge on Multi-phase MRI

lungmask

Automated lung segmentation in CT

lungtumormask

Automatic end-to-end lung tumor segmentation from CT images.

machine-learning-on-breast-cancer-survival-prediction

We used different machine learning approaches to build models for detecting and visualizingeline for researcher who are interested to conduct studies on survival prediction of any type of cancers using multi model data.

machine_learning-_from_zero

maftools

Summarize, Analyze and Visualize MAF files from TCGA or in house studies.