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bioautomated

Automated machine learning for analyzing, interpreting, and designing biological sequences

biochat

Natural language processing of Gene Expression Omnibus data

chemprop

Message Passing Neural Networks for Molecule Property Prediction

deep-learning-gene-expression

Deep learning methods for feature selection in gene expression autism data.

dexplore

DExplore: an online tool for detecting differentially expressed genes from mRNA microarray experiments (www.dexplore.org, https://hub.docker.com/r/akatsiki/dexplore)

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

druid

DRUg Indication Discovery

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal in

fetchgeo

simple python script to download gene expression raw data files from NCBI's GEO (Gene expression omnibus)

gene_expression

Analysis of RNA seq data to explore gene expression in different types of cancer

geo-classification

🧬 Implementation of a pipeline to compare the performance of Machine Learning classifiers on Gene Expression Omnibus data.

geo-fetch

Library and console tool to fetch data from Gene Expression Omnibus

geo-utils

tools for processing gene expression omnibus data

geoparse

Python library to access Gene Expression Omnibus Database (GEO)

grein

GREIN : GEO RNA-seq Experiments Interactive Navigator

keras-genomics

Perform hyper-parameter tuning, training, testing and prediction with Keras

machine-learning-in-genomes

MIT Summer Research. Supervised by Manolis kellis

metadatapredictionfromge

🐁 Prediction of Experimental Metadata from Gene Expression

mit-6884.github.io

Computational Aspects of Therapeutic Design

mit6874.github.io

mri-wrapper

Wrapper integrating Mri and caffe-cnn

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

pytorch-dl-utility

This framework runs hyperparameter tuning, training, and prediction on a provided PyTorch model and data

samplespecificdags

Framework for estimating the structures and parameters of Bayesian networks (DAGs) at per-sample resolution