Dr. Wellington Hsu: Why robotic technology could revolutionize spine surgery, and where AI fits in
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Alex Quach
MIT SuperUROP
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Collaborators
In addition to JUMP Partners, JUMP Collaborators worked on limited parts of the project as a collaborative effort, to develop technologies, reagents, and methods. Administrative: Pistoia Alliance Academic: Umeå University Stanford Machine Learning Group
New public workflow available!
We are pleased to announce that our first publicly available bio image analysis workflow (an outcome of a collaboration with the Newmark lab at Morgridge Institute for Research) is now available via our COBA GitHub repository. This example workflow automatically detects, orders, and saves individual...
Lazaris - Google Scholar
Introducing Piximi Annotator, an easily accessible, user-friendly annotator tool
Alice Lucas We’re delighted to release Piximi Annotator, a new image annotation tool that we built to be easily accessible, easy to use, yet with a full complement of annotation tools to allow for specific, refined annotations. Annotations are useful when training machine learning models to...
New CellProfiler 4 Plugin: RunCellpose
David R. Stirling Hi everyone, Today we’re releasing the RunCellpose plugin for CellProfiler 4! This plugin is designed to allow you to use the popular Cellpose segmentation algorithm to generate object sets within a CellProfiler pipeline. Cellpose uses a neural network followed by post-processing...
Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data
Pratapa, Aditya, Amogh Jalihal, Jeffrey Law, Aditya Bharadwaj, and Murali. 2020. “Benchmarking Algorithms for Gene Regulatory Network Inference from Single-Cell Transcriptomic Data”. Nat Methods 17 (2): 147-54.
Fast-SL: an efficient algorithm to identify synthetic lethal sets in metabolic networks
Pratapa, Aditya, Shankar Balachandran, and Karthik Raman. 2015. “Fast-SL: an Efficient Algorithm to Identify Synthetic Lethal Sets in Metabolic Networks”. Bioinformatics 31 (20): 3299-305.