From d61d797592a642c2a294c8d531b798e922b76a67 Mon Sep 17 00:00:00 2001 From: Ajit Johnson Nirmal Date: Wed, 29 May 2024 22:25:31 -0400 Subject: [PATCH] update --- docs/index.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/docs/index.md b/docs/index.md index f53dca35..048d5534 100644 --- a/docs/index.md +++ b/docs/index.md @@ -24,12 +24,13 @@ Scimap is a scalable toolkit for analyzing spatial molecular data. The underlyin SCIMAP operates on segmented single-cell data derived from imaging data using tools such as cellpose or MCMICRO. The essential inputs for SCIMAP are: (a) a single-cell expression matrix and (b) the X and Y coordinates for each cell. Additionally, multi-stack OME-TIFF or TIFF images can be optionally provided to enable visualization of the data analysis on the original raw images.
-## Citing scimap -Nirmal et al., (2024). SCIMAP: A Python Toolkit for Integrated Spatial Analysis of Multiplexed Imaging Data. Journal of Open Source Software, 9(97), 6604, [https://doi.org/10.21105/joss.06604](https://joss.theoj.org/papers/10.21105/joss.06604#) - *SCIMAP* development was led by [Ajit Johnson Nirmal](https://ajitjohnson.com/), Harvard Medical School. Check out other tools from the [Nirmal Lab](https://nirmallab.com/tools/). +### Citing scimap +Nirmal et al., (2024). SCIMAP: A Python Toolkit for Integrated Spatial Analysis of Multiplexed Imaging Data. Journal of Open Source Software, 9(97), 6604, [https://doi.org/10.21105/joss.06604](https://joss.theoj.org/papers/10.21105/joss.06604#) + + ### Funding This work was supported by the following NIH grant K99-CA256497