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Found 4 papers, 1 papers with code
Modelling-based experiment retrieval: A case study with gene expression clustering
For retrieval of gene expression experiments, we use a probabilistic model called product partition model, which induces a clustering of genes that show similar expression patterns across a number of samples.
Guidelines for reporting single-cell RNA-Seq experiments
Single-cell RNA-Sequencing (scRNA-Seq) has undergone major technological advances in recent years, enabling the conception of various organism-level cell atlassing projects.
Genomics
The importance of transparency and reproducibility in artificial intelligence research
In their study, McKinney et al. showed the high potential of artificial intelligence for breast cancer screening.
Applications
Putative cell type discovery from single-cell gene expression data
We present a novel method for automated identification of putative cell types from single-cell RNA-seq (scRNA-seq) data.
