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Example output from the Java UMAP library in Tag.bio, embedding ~11,000 TCGA Pan Cancer Atlas tumor samples using gene expression dimensions.

Tag.bio releases open source Java implementation of Uniform Manifold Approximation and Projection (UMAP) algorithm

Jesse Paquette
Jun 10, 2020 · 1 min read

Developed in collaboration between San Francisco, California based Tag.bio and New Zealand based Real Time Genomics, the umap-java library represents a port of the original Uniform Manifold Approximation and Projection (UMAP) Python implementation by Leland McInnes.

The open source project is available here on GitHub, and is released for use under a BSD-3 License.

On a personal note, I’d like to offer heartfelt thanks to everyone who contributed to this work so far.

Tag.bio — Your data. Your questions. Your answers.

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Jesse Paquette

Written by

Full-stack data scientist, co-founder at Tag.bio, pick-up soccer junkie, located in Brussels and San Francisco.

Tag.bio — Your data. Your questions. Your answers.

Tag.bio is a San Francisco, CA startup solving the last mile problem in data analysis for Healthcare and Life Sciences — with a distributed data mesh architecture, a domain-native user experience, full reproducibility, automated cloud orchestration, and enterprise-grade security.

Jesse Paquette

Written by

Full-stack data scientist, co-founder at Tag.bio, pick-up soccer junkie, located in Brussels and San Francisco.

Tag.bio — Your data. Your questions. Your answers.

Tag.bio is a San Francisco, CA startup solving the last mile problem in data analysis for Healthcare and Life Sciences — with a distributed data mesh architecture, a domain-native user experience, full reproducibility, automated cloud orchestration, and enterprise-grade security.

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