Skip to content
View davisidarta's full-sized avatar
🎯
Focusing
🎯
Focusing
60 followers · 40 following

Achievements

Achievement: QuickdrawAchievement: Pull SharkAchievement: StarstruckAchievement: Arctic Code Vault Contributor

Achievements

Achievement: QuickdrawAchievement: Pull SharkAchievement: StarstruckAchievement: Arctic Code Vault Contributor

Block or report davisidarta

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 250 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
davisidarta/README.md

Stars

Hi! I'm David

I'm a postdoc at Ana Domingos' lab at the University of Oxford. I aim to provide a molecular, neuroanatomical and functional characterisation of the sympathetic nervous system.

My repos are a collection of tools I developed to understand and interpret high-dimensional data, and of specific projects using these tools for analysing single-cell data. The highlight is TopOMetry, a comprehensive toolkit for high-dimensional data analysis. The manuscript is available at eLife

I'm always open to interesting conversations. Feel free to reach me by email.

Pinned Loading

  1. topometry topometry Public

    Systematically learn and evaluate manifolds from high-dimensional data

    Python 101 5

  2. fastlapmap fastlapmap Public

    Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's implementation and escalates linearly beyond 10e6 samples.

    Python 23 1

  3. humanlung humanlung Public

    Code for the human lung integrated cell atlas generation as in Sidarta-Oliveira et al.

    R 6 2

  4. dbMAP dbMAP Public

    A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big …

    Python 48 4