Paula Restrepo (paularstrpo)

paularstrpo

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Company:Icahn School of Medicine at Mount Sinai

Location:NYC

Twitter:@paularstrpo

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Paula Restrepo's starred repositories

sopa

Technology-invariant pipeline for spatial omics analysis (Xenium / MERSCOPE / CosMx / PhenoCycler / MACSima / Hyperion) that scales to millions of cells

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scCustomize

R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.

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DoubletFinder

R package for detecting doublets in single-cell RNA sequencing data

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anndata2ri

Convert between AnnData and SingleCellExperiment

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SPATA2

A Toolbox for Spatial Expression Analysis

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tidySpatialExperiment

SpatialExperiment with tidy principles

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tidySingleCellExperiment

Brings SingleCellExperiment objects to the tidyverse

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tidyseurat

Seurat meets tidyverse. The best of both worlds.

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SpatialDE

Test genes for Spatial Variation

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SpatialDE

Test genes for Spatial Variation

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globus-flows-trigger-examples

Sample code for triggering Globus Flows using the Python watchdog library.

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seurat-disk

Interfaces for HDF5-based Single Cell File Formats

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openmoji

Open source emojis for designers, developers and everyone else!

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NicheDE

NicheDE is a method that detects context dependent changes in gene expression in spatial transcriptomic data.

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scenicplus

SCENIC+ is a python package to build gene regulatory networks (GRNs) using combined or separate single-cell gene expression (scRNA-seq) and single-cell chromatin accessibility (scATAC-seq) data.

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CellSPA

Cell Segmentation Performance Assessment

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BIDCell

Biologically-informed deep learning for cell segmentation of subcelluar spatial transcriptomics data

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CellChat

R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics

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seurat-wrappers

Community-provided extensions to Seurat

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ROGUE

Assessing the purity of single cell population

Language:RLicense:BSD-3-ClauseStargazers:92Issues:0Issues:0

scarf

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

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ALRA

Imputation method for scRNA-seq based on low-rank approximation

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STREAM

STREAM: Single-cell Trajectories Reconstruction, Exploration And Mapping of single-cell data

Language:Jupyter NotebookLicense:AGPL-3.0Stargazers:172Issues:0Issues:0

scvi-tools

Deep probabilistic analysis of single-cell and spatial omics data

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ncem

Learning cell communication from spatial graphs of cells

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