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althea

ALgoriTHms Exposed through a RESTful API

conceptwas

Concept wide association analysis R and python packages

cvdprediction

Using deep learning and machine learning to predict Cardiovascular disease(CVD)

deep-trading

Algorithmic trading with deep learning experiments

evaluating-and-mitigating-bias-in-ml-models-for-cvd

The files and codes for Evaluating and Mitigating Bias in ML Models for CVD paper.

framingham

Algorithm for ASCVD algorithm published in 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk based on framingham.

machine_learning_notes

multiviewnmf

Partial Multi View Clustering via NMF

nih_topic

npc_qic_ml

Machine Learning to Predicting Interstage Mortality Using Machine Learning with the Following Single Ventricle Palliation NPC-QIC Database

pdprpr

PanDas PRePRocessor: Preprocess Pandas Objects for Machine Learning

pheno_tp

Use topic modeling for discovering clusters of phenotypes and association study between phenotypes and genotypes

rsid2bed

rsID2Bed is a script to convert SNP rsIDs to a list of genomics positions in a bed format: chr, position, position+1. Script is useful for quick conversion of SNPs to a bed format for downstream analysis (e.g. overlaps with bedtools).

singularity-tensorflow

Singularity bootstrap files inheriting from tensorflow Docker images

topic-stability

Stability analysis for topic models

topic_modeling_ehr

This project shows a method with a topic modeling approach: non-negative matrix factorization (NMF), used in EHR for subphenotyping and identifying the relationship between phenotypes and genetic variants

transfer_learning

Feature-based transfer learning for network security

twitter-analysis