Skip to main content
Pall Melsted on Muck Rack

Pall Melsted

As seen in: Nature, Genome Biology, Genome Medicine, BioRxiv, Genome Research
Professor @hi.is in CS, head of rna seq data analysis at decode genetics (views are mine). Bioinformatician, epistemic trespasser, &c. ps. I hate GTF files
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Pall

Contact Pall, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Batch correction methods used in single-cell RNA sequencing analyses are often poorly calibrated

|
By Pall Melsted, Sindri Emmanúel Antonsson
| Genome Research
Faculty of Industrial Engineering, Mechanical Engineering, and Computer Science, University of Iceland, 102 Reykjavík, Iceland Corresponding author: pmelsted{at}hi.is Footnotes [Supplemental material is available for this article.] Article published online before print. Article, supplemental material, and publication date are at https://www.genome.org/cgi/doi/10.1101/gr.279886.124. Freely available online through the Genome Research Open Access option. Received August 7, 2024.
Open in Who Shared View Duplicates (9) Issue with article?

Bi-allelic variants in BRF2 are associated with perinatal death and craniofacial anomalies - Genome Medicine

|
By Francesca Mattioli, Anne Hebert, Sissy Bassani, Nazia Ibrahim, Shagufta Naz, Jacqueline Chrast, Asmundur Oddsson, Patrick Sulem, Gísli H. Halldórsson, Pall Melsted, Daníel F. Guðbjartsson, Flavia Palombo, Rún Friðriksdóttir, Clara Pailler-Pradeau
| Genome Medicine Verified
Open in Who Shared Issue with article?

Batch correction methods used in single cell RNA-sequencing analyses are often poorly calibrated

|
By Pall Melsted, Sindri E Antonsson
| BioRxiv
Abstract As the number of experiments that employ single-cell RNA-sequencing (scRNA-seq) grows it opens up the possibility of combining results across experiments or processing cells from the same experiment assayed in separate sequencing runs. The gain in the number of cells that can be compared comes at the cost of batch effects that may be present. Several methods have been proposed to combat this for scRNA-seq datasets.
Open in Who Shared Issue with article?
See all 12 articles