YouTube video by Leonardo Collado Torres
[2025-07-18] Plots in Python with seaborn and plotnine
Hot take: ggplot2 is better than any plotting option available in Python-- but I discuss a couple options in Python at an R Stats Club session @libdrstats.bsky.social linked below. I personally use plotnine, since it's essentially a port of ggplot2 for Python.
youtu.be/xK9UNcOfjnI
13.11.2025 15:02 — 👍 8 🔁 4 💬 1 📌 0
Congratulations to our habenula team! We've learned a lot about working in this tiny brain region. Here we characterize the molecular signatures of human habenula cell types and transcriptomic changes associated with schizophrenia. Stay tuned 👀 for more exciting habenula findings in the near future.
05.11.2025 19:48 — 👍 7 🔁 4 💬 0 📌 0
I just completed my first radio 📻 interview ^_^
You'll be able to listen to it next Friday or so at www.iheart.com/podcast/269-.... Thanks Clau from iHeartRadio Miami's "Estamos Contigo" podcast for reaching out!
I'll be talking in Spanish about our recent #HabenulaLIBD 📜
bsky.app/profile/lcol...
07.11.2025 15:58 — 👍 10 🔁 3 💬 0 📌 0
2025 LIBD lcolladotor data science team TL;DR
A recap of recent work from our R Bioconductor-powered Team Data Science group at the Lieber Institute for Data Science.
Team website: https://lcol…
Estos datos servirán para trabajo futuro sobre cambios moleculares que ocurren en #Habénula en enfermedades 🧠🧬 Mantén un 👀 abierto en @lieberinstitute.bsky.social para nuevos resultados de Hb de datos transcriptómicos con resolución espacial @10xgenomics.bsky.social
speakerdeck.com/lahuuki/2025...
05.11.2025 23:47 — 👍 1 🔁 1 💬 1 📌 0
Usamos análisis de #eQTL para examinar como los SNPs se relacionan a la expresión génica en #Habénula. 7 genes eQTLs fueron identificados como GDEs, y 16 eSNPs como SNPs de riesgo a la esquizofrenia en GWAS. 9 nuevos genes fueron colocalizados con el riesgo genético de esquizofrenia
05.11.2025 23:47 — 👍 1 🔁 0 💬 1 📌 0
Investigamos si los GDEs que encontramos eran únicos a la #Habénula vs otras regiones del cerebro con estudios de esquizofrenia (núcleo caudado, giro dentado, dlPFC, hipocampo) y encontramos que 75% de los GDEs eran únicos a la habénula 🦄
05.11.2025 23:47 — 👍 1 🔁 0 💬 1 📌 0
Este análisis identificó 173 genes diferencialmente expresión (GDEs; DEGs en inglés) entre donadores control y los afectados por esquizofrenia. Algunos de estos GDEs (como HES5) apoyan la hipótesis del neurodesarrollo de la esquizofrenia 🌋
05.11.2025 23:47 — 👍 1 🔁 0 💬 1 📌 0
Para refinar la señal de habénula del vecino tálamo utilizamos nuestros datos de #snRNAseq para #deconvolución de nuestras muestras a granel #bulkRNA, estimando así la proporción de Hb. Estas proporciones las usamos para controlar diferencias en disecciones en el análisis de expresión diferencial 📊
05.11.2025 23:47 — 👍 1 🔁 0 💬 1 📌 0
También analizamos tejido enriquecido en Hb de donadores control o con esquizofrenia usando secuenciación masiva de ARN, generando un set de datos único para identificar cambios moleculares asociados a la enfermedad. ACP (PCA🇺🇸) de datos #bulkRNA de otras regiones muestran que la Hb es un caso aparte
05.11.2025 23:47 — 👍 1 🔁 0 💬 1 📌 0
Para contextualizar, integramos nuestros datos de #snRNAseq de Hb humana con datos #singlecell previamente publicados de Hb de ratón por el laboratorio de @gstuber.bsky.social. Algunos grupos de células neuronales como las LHb.2 enriquecidas por OPRM1 en humano aparecen conservadas entre especies 🐁
05.11.2025 23:47 — 👍 1 🔁 0 💬 1 📌 0
Usamos hibridación fluorescente in situ de molécula única #RNAScope y HALO de @indicalabs.bsky.social para visualizar la organización espacial de estas poblaciones neuronales de la Habénula humana. 🔬 Por ejemplo, neuronas MHb.2 que expresan CHAT se agruparon de forma separada de otras células de MHb
05.11.2025 23:47 — 👍 3 🔁 0 💬 1 📌 0
Creamos un mapa molecular con #snRNAseq de la Hb humana para entender la diversidad neuronal a un nivel molecular en esta región del cerebro única. Nuestros datos de 7 donadores control produjeron 16 mil núcleos y 17 grupos celulares, incluyendo 7 poblaciones neuronales laterales y 3 medias en Hb 🧪
05.11.2025 23:47 — 👍 1 🔁 0 💬 1 📌 0
¡Gracias a nuestros colaboradores del Instituto Lieber para el Desarrollo del Cerebro por su dedicación y arduo trabajo en este proyecto! 🧑🔬 #HabenulaLIBD @freneegf.bsky.social @nick-eagles.bsky.social @lahuuki.bsky.social @kr-maynard.bsky.social de la división lidereada por @martinowk.bsky.social
05.11.2025 23:47 — 👍 2 🔁 0 💬 1 📌 0
Acá va en español 🇲🇽
--- o ---
"¡Estamos orgullosos de anunciar que nuestro artículo ‘Análisis Transcriptómico de la Habénula Humana en Esquizofrenia’ es el artículo de portada de la edición de noviembre del American Journal of Psychiatry!" 🧠 #HabenulaLIBD #snRNAseq #Habénula doi.org/10.1176/appi...
05.11.2025 23:47 — 👍 9 🔁 4 💬 1 📌 1
Excited to share that the second project from my time at @lieberinstitute.bsky.social with @lcolladotor.bsky.social is now published! This was such a rewarding collaboration to be part of. 💡🧠
Huge congrats to @lahuuki.bsky.social and all co-authors!
05.11.2025 16:58 — 👍 12 🔁 4 💬 0 📌 0
#OpenData and #OpenCode from our latest @lieberinstitute.bsky.social project
Lots of #RStats and @bioconductor.bsky.social code inside of that repository!
#OpenScience
04.11.2025 22:02 — 👍 3 🔁 2 💬 0 📌 0
Congrats to @lahuuki.bsky.social and many members of @kr-maynard.bsky.social and @lcolladotor.bsky.social teams in our division who contributed to this study! Really excited to see this paper now published with contribution of data resources for molecular profiles of human habenula cell types 🧠🔬🧪
04.11.2025 21:58 — 👍 14 🔁 5 💬 0 📌 0
Impact of Alzheimer’s disease risk factors and local neuromelanin content on the transcriptomic landscape of the human locus coeruleus
LFF project, spatial_LC data analysis
Finally, we made 2 web tools to share to this unprecedently large human LC xscriptomic data. A 3rd (that visualizes high-res H&E and NM with and spatial gene xpr.) on the way (last URL). We hope these help the #bluespot #LC #catecholamines community! Tools at: research.libd.org/LFF_spatial_... (7/8)
31.10.2025 15:42 — 👍 5 🔁 3 💬 1 📌 0
Excited to share our newest project using spatial transcriptomics with novel image analysis approaches to investigate the impact of biological risk factors for Alzheimer's disease (AD) - APOE haplotype, sex, and genomic ancestry - on molecular states in the locus coeruleus (LC 🔵) of the human 🧠.
31.10.2025 17:24 — 👍 37 🔁 13 💬 2 📌 0
A title slide reading "Practical AI for data science" and my name and title.
I'll be keynoting at R/Pharma a week from today! The conference is free and virtual. I'll be focused on the mundane use cases of LLMs for wrangling data with #rstats, and the content should feel applicable for folks outside of pharma—come through. :)
Register: events.zoom.us/ev/Ai-geyS63...
29.10.2025 19:32 — 👍 28 🔁 4 💬 1 📌 1
Thanks again Weiqiang Zhou & Margaret Taub for organizing the "Current Topics in Biostatistics" seminar series for 1st year @jhubiostat.bsky.social students
While my notes (docs.google.com/document/d/1...) were similar, the questions and discussion lead me to talk about more about team organization
24.10.2025 20:50 — 👍 3 🔁 0 💬 0 📌 0
crafted -> crafting 😅
24.10.2025 19:32 — 👍 0 🔁 0 💬 0 📌 0
APA represents 38,900 psychiatrists worldwide. A decision to repost or share content does not represent an endorsement of non-APA material.
BME PhD student 🔬 UC Irvine 💙💛 EXATec 🐏
Mexican surviving in the US 🇲🇽🇺🇸
Leading the Computational Systems Medicine Lab @uconnhealth.bsky.social | Mathematician exploring life’s equations and algorithms | Tri-National | Cancer Survivor | Lifelong Learner
Neuroscientist interested in supporting mental health research & early career scientists. Posts ≠ endorsement.
From discovery to diagnostics, AI powers our HALO software suite and services for digital pathology.
Postdoc at Lieber Institute for Brain Development. Brain molecular regul° and gene express° in health, mood disorders, and neurodegen (and sex diffs therein)
PhD in cancer genomics at Oxford. Passionate about diversity in genomics. First Saudi Rhodes Scholar. Science communicator. Mom.
Freelancing: Biostats / Genomics / CRISPR
github.com/Jfortin1
Researcher in bioinformatics working on single-cell data visualization
https://markk.co
PhD in Applied Statistics & Empirical Methods (University of Göttingen) |> Humanitarian emergencies & most vulnerable populations |> Crime Data Specialist at UNODC |> #RStats
🌐 https://juan-torresmunguia.netlify.app/
MPH candidate (Epi) at Johns Hopkins. Interested in preventive cardiology, pulmonology, and data-driven care. Experience in lab research, and currently building R-based analysis skills. Open to collaboration in digital health, AI, & clinical epidemiology.
🧠Neurobiologist
🟣Alzheimer's disease & neurodegeneration
👩🏻💻Bioinformatics
🎙️Host She Has a PhD podcast
#womeninscience
📍Boston, US
💼 Junior Faculty @harvardmed.bsky.social
🇵🇹🇨🇦🇫🇮🇬🇧🇺🇸
🧘🏻♀️🎮📚📷☕🧳
Dataviz designer, psychiatrist, PhD student
https://karaman.is
PhD Student @ JHU Langmead Lab
Developer Relations @posit.co
/dee-AA-nah/|Postdoc at UCLA|computational biology PhD / popgen, genomics and conservation | she/her/ella 🇲🇽
PhD student, Biomedical engineering, JHUSOM
Pediatric Pulmonology Fellow at Cincinnati Children's Hospital Medical Center / Physician-Scientist / Puerto Rican / Views are my own, not my employer's