nipalsMCIA: flexible multi-block dimensionality reduction in R via nonlinear iterative partial least squares
Max Mattessich, Joaquin Reyna, Edel Aron, Ferhat Ay, Misha Kilmer, Steven H Kleinstein, Anna Konstorum, Jonathan Wren · 2025
Read nipalsMCIA: flexible multi-block dimensionality reduction in R via nonlinear iterative partial least squares by Max Mattessich, Joaquin Reyna, Edel Aron, Ferhat Ay, Misha Kilmer, Steven H Kleinstein, Anna Konstorum, Jonathan Wren (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11783316.txt.
Description
Max Mattessich and co-authors release an R package that fuses many omics tables into a few shared axes, in a paper whose head is dated 2024. Joint analysis of bulk and single cell data needs sturdy unsupervised tools. Their package runs a classic co-inertia method through a fast iterative solver written for the task.
On bulk and single cell sets, the package ran much faster than rival versions, above all with many samples or features. It ships through the Bioconductor archive with full documents and worked examples. The authors aim it at clustering, visualization, and feature picking in multi omics work.
Catalog record
| CREATOR | Max Mattessich, Joaquin Reyna, Edel Aron, Ferhat Ay, Misha Kilmer, Steven H Kleinstein, Anna Konstorum, Jonathan Wren |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 17 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |