medical-8
Single-cell modeling
3260 papers • 126 benchmarks • 313 datasets
Single Cell RNA sequencing (scRNAseq) revolutionized our understanding of the fundamental of life sciences. The technology enables an unprecedented resolution to study heterogeneity in cell populations and their functionalities.
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Most implemented papers
SISUA: Semi-Supervised Generative Autoencoder for Single Cell Data
Trung Ngo Trong, R. Kramer, J. Mehtonen, Gerardo González, Ville Hautamäki, M. Heinäniemi•Tue May 07 2019
This study proposes models based on the Bayesian generative approach, where protein quantification available as CITE-seq counts from the same cells are used to constrain the learning process, thus forming a semi-supervised model.
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