Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• Embeddings from language models are good learners for single-cell data analysis.

  PMID 41726097 · PMC12921509 · Patterns (New York, N.Y.) · 2026 · 8 claims · 8 setups

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  scELMo combines LLM-derived embeddings of gene and cell metadata with raw single-cell expression data via matrix operations to generate cell embeddings without pretraining a new model

  scrna-seq multi-batch diseased perturbation clustering batch cell-type

• Comprehensive comparison of gene expression diversity among a variety of human stem cells.

  PMID 36458020 · PMC9706419 · NAR genomics and bioinformatics · 2022 · 8 claims · 8 setups

  Has reproduction · 71

  Tissue origin has a stronger influence on gene expression in iPSCs than in other stem cell types

  escs stem batch-corrected degs bulk batch dimensionality

• Exploring Gene Expression Patterns in Alzheimer's Disease Using a Human Microarray Data Meta-Analysis.

  PMID 41744654 · PMC12938635 · Biology · 2026 · 7 claims · 7 setups

  Has reproduction · 100

  A meta-analysis of eight microarray studies (10 sub-studies) produced a combined list of 4218 statistically significant DEGs between AD and healthy brain at an adjP cut-off of 0.001

  post-mortem combined sub-studies down-regulated microarray differential statistical

• Benchmarking LLM-based agents for single-cell omics analysis.

  PMID 41742311 · PMC13064268 · Genome biology · 2026 · 8 claims · 8 setups

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  Introduces a comprehensive benchmarking evaluation system comprising an open-source agent platform, 18 evaluation metrics across four dimensions, and 50 real-world single-cell omics tasks

  agent single-cell spatial scatac-seq llm-agent scrna-seq spatial