Projects

Projects

Projects are posted to help find interested individuals with appropriate expertise to implement needs

June 10, 2020
Git/GitHub
MLib/Machine Learning
R
This program of research is focused on assessment of multiple levels of -omics data to apply machine learning approaches to identify novel biomarkers for type 2 diabetes risk and responses to risk reduction interventions.
November 1, 2019
MLib/Machine Learning
Python
R
The goal of this project is to use a multi-omics integrative approach leveraging publicly available human genomics and transcriptomics as well as single nucleus RNA sequencing technology.
November 1, 2019
MLib/Machine Learning
Python
R
The goal of this project is to analyze publicly available, large-scale transcriptomic datasets of AD patients and age-matched controls.
November 1, 2019
MLib/Machine Learning
Python
PyTorch
SQL
TensorFlow
This is a full pipeline infrastructure that has pre-written queries for pulling patient data from clarity in an organized manner.
November 1, 2019
Git/GitHub
HPC/GPU Computing
MLib/Machine Learning
Python
TensorFlow
We'd love to work with more people, primarily those looking to gain expertise in: deep learning, neurodegenerative diseases, github / CI / containers, etc.
November 1, 2019
Apache Spark
Git/GitHub
HPC/GPU Computing
MLib/Machine Learning
NLP Tools
Python
PyTorch
R
SQL
TensorFlow
This project aims to build a platform for machine learning-based interpretation of multiple data sources.
October 31, 2019
Git/GitHub
HPC/GPU Computing
MLib/Machine Learning
NLP Tools
Python
PyTorch
SQL
TensorFlow
Various projects are available in the Arnaout Laboratory at UCSF.
October 30, 2019
MLib/Machine Learning
R
We are generating data using bulk RNA Seq and exome Seq and would analyze it to identify individual specific signatures that is believed to take us towards personalized medicine.
October 30, 2019
MLib/Machine Learning
R
In this we are processing biosamples to profile microbiome either through metagenomics or 16S sequencing
October 30, 2019
MLib/Machine Learning
R
We are employing CyTOF method to profile lineages of different immune cells at the time of rejection and CMV infection.

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