van Dijk Lab @Yale
 
 

Computational Biology & Machine Learning
@Yale Medical School

 
 
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Our Research

The mission of our lab is to provide machine learning tools that extract meaningful insight from high-throughput, high-dimensional biomedical data. We work with data such as: Single-Cell RNA sequencing, Gut microbiome sequencing, Biomedical imaging, and Electronic Health Records.

Selected publications

Selected Projects

MAGIC

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(Markov Affinity-based Graph Imputation of Cells)

Imputation and denoising of single-cell RNA-seq data using manifold learning. van Dijk, et al. Cell, 2018

PHATE

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(Potential of Heat-diffusion for Affinity-based Transition Embedding)

Embedding high-dimensional data into low dimensions for visualization. link (in press at Nature. Biotech)

MELD

(Manifold Enhancement of Latent Dimensions)

Graph signal processing tool to analyze multiple scRNA-seq samples from two or more conditions. link (bioRxiv)

PET/CT scans

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We’re developing tools to visualize, extract features, and predict clinical phenotypes in PET, SPECT, CT, ultrasound, and various other medical imaging data for large patient cohorts.

 
 
 

We use machine learning to accelerate biomedical discovery

 
 
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We are recruiting at all levels

Are you excited about machine learning and do you want to make an impact in biology and medicine? The van Dijk Lab is recruiting interns, students, postdocs, programmers, and staff researchers. Background in CS, Math, or Engineering is preferred, no background in biology is required. You should be interested in working with real world data and interested in either developing new algorithms or applying existing ones to data, or both!

We are located at the Yale Medical School and have close ties to Yale Computer Science and Applied Math. Our location allows us to work closely with clinicians and have access to the most exciting datasets. Our goal is to impact both biomedicine (e.g. publish in biological and medical journals) and computer science (e.g. publish at CS and Math conferences).

For more information, send an email to: david.vandijk (at) yale.edu

 
 
 

Excited about Machine Learning and Biomedicine?

Join our Lab

 
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