Kinnary Shah
@kinnaryshah.bsky.social
120 followers 470 following 11 posts
working on my phd @jhubiostat.bsky.social
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kinnaryshah.bsky.social
so excited to share that our preprint characterizing the dorsal anterior cingulate cortex in post-mortem human brain from @lieberinstitute.bsky.social is out! we integrated matched SRT and snRNA-seq data to investigate agranularity and von Economo neurons
kinnaryshah.bsky.social
my work with @stephaniehicks.bsky.social and @boyiguo.bsky.social has been published in Biostatistics! tldr: the mean-variance bias exists in SRT data & impacts SVG detection. we propose #spoon, available on @bioconductor.bsky.social, to address this! pmc.ncbi.nlm.nih.gov/articles/PMC... 🤩
https://pmc.ncbi.nlm.nih.gov/articles/PMC12166475/🤩
Reposted by Kinnary Shah
jhubiostat.bsky.social
Kinnary Shah is a fourth-year PhD candidate and co-president of the Biostats Student Org. Learn more about Kinnary and two of her ongoing research projects, one with the @lieberinstitute.bsky.social, and one with @stephaniehicks.bsky.social, on our website:
publichealth.jhu.edu/departments/...
Reposted by Kinnary Shah
martinowk.bsky.social
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 🧠
Spot plots from spatial transcriptomics data highlighting enrichment (black dot in the yellow) of a molecular signature in the dorsal anterior cingulate (left) versus the dorsolateral prefrontal cortex (right) of human brain tissue
kinnaryshah.bsky.social
i had the great opportunity to present some of our work integrating dACC SRT and snRNA-seq data from neurotypical donors at #STATGEN2025 today! keep your eyes peeled for this project - coming out soon 🧠🧬
kinnaryshah.bsky.social
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
kinnaryshah.bsky.social
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
kinnaryshah.bsky.social
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
kinnaryshah.bsky.social
thank you @stephaniehicks.bsky.social and @boyiguo.bsky.social for your amazing mentorship on this project! so excited that this is finally out
stephaniehicks.bsky.social
Fantastic poster from @kinnaryshah.bsky.social tonight at #biodata24! She developed the spoon package to correct for the mean variance relationship in #spatial transcriptomics data

#ProudPI #stats 🖥️🧬🧪🧠📈

Preprint: www.biorxiv.org/content/10.1...

Software: www.bioconductor.org/packages/spoon
Kinnary Shah presenting a poster at CSHL Biological Data Science 2024