Cargando…
Deconfounded Dimension Reduction via Partial Embeddings
Dimension reduction tools preserving similarity and graph structure such as t-SNE and UMAP can capture complex biological patterns in high-dimensional data. However, these tools typically are not designed to separate effects of interest from unwanted effects due to confounders. We introduce the part...
Autores principales: | Chen, Andrew A., Clark, Kelly, Dewey, Blake, DuVal, Anna, Pellegrini, Nicole, Nair, Govind, Jalkh, Youmna, Khalil, Samar, Zurawski, Jon, Calabresi, Peter, Reich, Daniel, Bakshi, Rohit, Shou, Haochang, Shinohara, Russell T. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882043/ https://www.ncbi.nlm.nih.gov/pubmed/36711940 http://dx.doi.org/10.1101/2023.01.10.523448 |
Ejemplares similares
-
Pseudotime estimation: deconfounding single cell time series
por: Reid, John E., et al.
Publicado: (2016) -
Critical Analysis of Deconfounded Pretraining to Improve Visio-Linguistic Models
por: Cornille, Nathan, et al.
Publicado: (2022) -
Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach
por: Repsilber, Dirk, et al.
Publicado: (2010) -
Variational Temporal Deconfounder for Individualized Treatment Effect Estimation with Longitudinal Observational Data
por: Feng, Zheng, et al.
Publicado: (2023) -
Embedding Scientific Explanations Into Storybooks Impacts Children’s Scientific Discourse and Learning
por: Leech, Kathryn A., et al.
Publicado: (2020)