Englander Institute for Precision Medicine

Englander Institute for Precision Medicine's repositories

dgvar

Screening deleterious germline variants (DGVs) in WCM UC cohort

Language:Python5 130

hello-mess-nf

A Nextflow pipeline to experiment with DSL2 + Zero Mess

Language:NextflowMIT4 70

pmkb-bot

PMKB bot for the Precision Medicine Knowledge Base using Microsoft Bot Framework.

Language:JavaScriptMIT4 11 13

ai-biopsy

Biopsy-free prediction of prostate cancer aggressiveness using deep learning and radiology imaging

Language:PythonMIT3 60

beacon

Dockerized GA4GH Beacon

Language:HTMLMIT3 130

stork

Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization

Language:PythonMIT3 20

cnn-smoothie

Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images

Language:PythonMIT1 20

Combinatorial-Drug-Screening-Data-Analysis

Language:R100

ERVmap

ERVmap is one part curated database of human proviral ERV loci and one part a stringent algorithm to determine which ERVs are transcribed in their RNA seq data.

Language:PerlMIT1 10

HTDS-RawData

Experimental data structuring and analysis.

Language:Jupyter Notebook1 1 5

unity-workshop

R Lab XR in Healthcare Unity Workshop

Language:C#MIT1 40

bioinformatics

Tool including several common bioinformatics software applications

Language:DockerfileMIT010 6

hello-nextflow

An hello world pipeline to test nextflow installations.

Language:Nextflow090

paper_trail

Track changes to your models' data. Good for auditing or versioning.

Language:RubyMIT040

This project aims to enhance the assessment of fertilized human embryos, a critical step in the process of in vitro fertilization (VF). The research paper behind this project introduced BELA, the Blastocyst Evaluation Learning Algorithm, a novel model for embryo ploidy status prediction.

Language:Python030

Englander Institute for Precision Medicine

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