A flaw in Person-Δ may be overstating progress in single-cell perturbation prediction models. Pearson warned about this in the 19th century: reusing the same controls induces spurious correlation. Split the controls, and much of the claimed prediction power fades: www.biorxiv.org/content/10.6...
Introducing the Data Science Postdoctoral Fellows Program at Harvard/DFCI!
- Join a research group in our department
- Co-mentoring opportunities with 2+ faculty
- Collaborate with DFCI investigators beyond our department
- Salary starts at $75K
Apply here: ds.dfci.harvard.edu/postdocs/
New method for identifying spatially variable genes in spatial transcriptomics.
We use spectral graph theory to extract 1D curves related to tissue morphology, creating a more relevant coordinate system. Improves sensitivity.
with @PhillipNicol et al.
www.biorxiv.org/content/10.1...
📢 We are taking applications for our Postdoctoral Fellows Program at Harvard/DFCI!
🔹Join a research group in our department
🔹Co-mentoring opportunities with 2+ faculty
🔹Collaborate with investigators beyond our department
🔹Salary starts at $75K
Apply here: t.co/B7SLZzQFKu
🚨 We're hiring! 🚨
Join us at @HarvardBiostats and @dfcidatascience
We are filling THREE positions:
1️⃣ Tenure-track (any rank) in AI/ML
2️⃣ Assistant Professor in Single Cell Genomics
3️⃣ Lecturer & Director Training/Education
Need to apply separately for each role. Links 👇
Hoy inicia nuestro Curso en español de Ciencia de Datos: Fundamentos de R en HarvardX! Aprenderás desde los básicos hasta data wrangling, conceptos de programación e importación de datos. La versión gratis y en línea te da acceso a los videos, textos y ejercicios.
t.co/TGID4IwTSQ
Question for #rstats educators: Do you use a standard format for exercises?
I have 100s of exercises along with solutions in quarto documents (see image). But they are not formatted in a systematic way. I would like to easily create docs with and w/o solutions and export to LMS.
Data visualization is used in two ways in data analysis:
1) Communicating data insights.
2) Guiding analysis and spotting data issues.
While modern courses and books focus on the first, it's the second - exploratory data analysis - that is more important and harder to teach.
To apply use links below:
1️⃣ Tenure-track (any rank) in AI/ML academicpositions.harvard.edu/postings/14387
2️⃣ Assistant Professor in Single Cell Genomics academicpositions.harvard.edu/postings/14416
3️⃣ Lecturer & Director Training/Education careers.dana-farber.org/job/9572/dir...
Biologist, stop putting UMAP plots in papers!
Blogpost here: simplystatistics.org/posts/2024-1...