Kinnary Shah
@kinnaryshah.bsky.social
working on my phd @jhubiostat.bsky.social
using a wide variety of techniques to analyze sequencing data, including non-negative matrix factorization. raw & processed data are available 🧠 check it out here!! www.biorxiv.org/content/10.1...
Spatio-molecular gene expression reflects dorsal anterior cingulate cortex structure and function in the human brain
In the human brain, the dorsal anterior cingulate cortex (dACC) plays key roles in various components of cognitive control, and is particularly relevant for reward processing and conflict monitoring. ...
www.biorxiv.org
July 24, 2025 at 1:53 AM
using a wide variety of techniques to analyze sequencing data, including non-negative matrix factorization. raw & processed data are available 🧠 check it out here!! www.biorxiv.org/content/10.1...
Reposted by Kinnary Shah
despite the rough start, I *think*🤞 I'm on my way, and I am excited and honored for the opportunity to present work led by @kinnaryshah.bsky.social identifying molecular rationale behind evolutionary specializations in the cingulate versus the prefrontal cortex of human 🧠
May 24, 2025 at 7:50 PM
despite the rough start, I *think*🤞 I'm on my way, and I am excited and honored for the opportunity to present work led by @kinnaryshah.bsky.social identifying molecular rationale behind evolutionary specializations in the cingulate versus the prefrontal cortex of human 🧠
I haven't worked with imaging data and don't know its properties as well! Definitely open to other opinions/thoughts on this 3/3
November 17, 2024 at 12:30 AM
I haven't worked with imaging data and don't know its properties as well! Definitely open to other opinions/thoughts on this 3/3
Measuring gene expression is inherently noisy, so in lower expressed genes, there is more variability in variance values. I would guess that it does not exist in imaging-based SRT data because those steps do not happen and images are taken for specific genes. This answer is with the caveat that 2/3
November 17, 2024 at 12:30 AM
Measuring gene expression is inherently noisy, so in lower expressed genes, there is more variability in variance values. I would guess that it does not exist in imaging-based SRT data because those steps do not happen and images are taken for specific genes. This answer is with the caveat that 2/3
Thank you @clarencemah.bsky.social! The mean-var relationship exists in SRT data from barcode-based technologies since the mean-var relationship exists because the sample preparation and library preparation steps seem to have more trouble with reliably quantifying lowly expressed genes 1/3
November 17, 2024 at 12:28 AM
Thank you @clarencemah.bsky.social! The mean-var relationship exists in SRT data from barcode-based technologies since the mean-var relationship exists because the sample preparation and library preparation steps seem to have more trouble with reliably quantifying lowly expressed genes 1/3