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).

• Spatial information matters: are traditional imputation methods effective for spatial transcriptomics data?

  PMID 41627342 · PMC12862982 · Briefings in bioinformatics · 2026 · 7 claims · 3 setups

  Has reproduction · 89

  No single existing SOTA imputation method consistently performs well across newer SRT platforms/datasets

  datasets srt same computational proposed

• Prioritized mass spectrometry increases the depth, sensitivity and data completeness of single-cell proteomics.

  PMID 37012480 · PMC10172113 · Nature methods · 2023 · 8 claims · 5 setups

  Has reproduction · 90

  pSCoPE (prioritized precursor selection via MaxQuant.Live) increases sensitivity, data completeness, and proteome coverage more than twofold over shotgun single-cell proteomics

  bulk hek293 single-cell bone prioritized single-cell spike-in

• Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration.

  PMID 34773081 · PMC8589952 · Communications biology · 2021 · 8 claims · 7 setups

  Has reproduction · 92

  Large-scale integration of 111 sc/snRNAseq datasets captures rare, transitional myogenic progenitor states (commitment and fusion) that are poorly represented in individual datasets.

  skeletal merged myogenic muscle scrnaseq batch-correction differential

• CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.

  PMID 40739511 · PMC12312500 · BMC biology · 2025 · 8 claims · 8 setups

  Has reproduction · 42

  CanCellCap, a multi-domain learning framework integrating domain adversarial learning and Mixture of Experts, identifies cancer cells across all tissues, cancers, and sequencing platforms by extracting tissue-common and tissue-specific gene expression patterns.

  testing datasets tisch2 prostate scrna-seq simulated spatial

• Community assessment of methods to deconvolve cellular composition from bulk gene expression.

  PMID 39191725 · PMC11350143 · Nature communications · 2024 · 8 claims · 4 setups

  Has reproduction · 63

  Most deconvolution methods accurately predict coarse-grained immune/stromal cell populations from bulk expression.

  admixtures cancer tumor bulk bulk admixture crowdsourced

• Wx: a neural network-based feature selection algorithm for transcriptomic data.

  PMID 31324856 · PMC6642261 · Scientific reports · 2019 · 8 claims · 8 setups

  Has reproduction · 50

  The Wx algorithm ranks genes by a discriminative index (DI) score representing classification power for distinguishing given groups, enabling intuitive selection of optimal biomarker genes.

  tcga melanoma lung head bulk single-cell rna-seq