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).

• Evaluating imputation methods for accurate estimation of cell population fractions in single-cell RNA sequencing.

  PMID 41503159 · PMC12770975 · NAR genomics and bioinformatics · 2026 · 8 claims · 6 setups

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  Eight prominent imputation methods (MAGIC, SAVER, scVI, DCA, scBiG, kNN-smoothing, scImpute, ALRA) were systematically evaluated for their ability to recover the true non-zero expression fraction using simulated and real-world scRNA-seq data

  basal tracheal airway k562 simulated scrna-seq imputation

• TEMP: a computational method for analyzing transposable element polymorphism in populations.

  PMID 24753423 · PMC4066757 · Nucleic acids research · 2014 · 8 claims · 8 setups

  Has reproduction · 61

  TEMP combines pair-end (discordant) read and split (soft-clipped) read information to identify both presence and absence of TE insertions in genomic DNA from heterogeneous/pooled samples.

  drosophila five four melanogaster simulated comparative whole-genome

• ANOMALY: a Snakemake pipeline for identifying NuMTs from long-read sequencing data.

  PMID 41647924 · PMC12869244 · NAR genomics and bioinformatics · 2026 · 8 claims · 8 setups

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  ANOMALY is a novel Snakemake pipeline for detecting NuMTs from long-read sequencing data

  simulated real-world matched long-read short-read pipeline

• 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 · 7 setups

  Has reproduction · 42

  CanCellCap identifies cancer cells in scRNA-seq data across 13 tissue types, 23 cancer types, and 7 sequencing platforms with 0.977 average accuracy

  cancer testing sequencing unseen scrna-seq spatial

• Assessing the gene space in draft genomes.

  PMID 19042974 · PMC2615622 · Nucleic acids research · 2009 · 6 claims · 7 setups

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  The proportion of mapped CEGs in a draft genome assembly is a useful metric for describing gene space completeness, complementing N50 and x-fold coverage.

  caenorhabditis toxoplasma homo briggsae cegma blast tblastn

• sCellST predicts single-cell gene expression from H& E images.

  PMID 41513659 · PMC12858858 · Nature communications · 2026 · 7 claims · 6 setups

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  sCellST is a weakly supervised (Multiple Instance Learning) deep learning framework that predicts single-cell gene expression from H&E images alone, trained using paired spatial transcriptomics (Visium) and H&E slides

  ovarian kidney prostate breast simulation spot-level nucleus

• Cell-type annotation with accurate unseen cell-type identification using multiple references.

  PMID 37379341 · PMC10335708 · PLoS computational biology · 2023 · 8 claims · 4 setups

  Has reproduction · 68

  mtANN integrates multiple reference datasets and eight gene selection methods via ensemble learning (multiple deep classification models + majority voting) to improve cell-type annotation accuracy

  pbmc pancreas covid-19 scrna-seq

• FEDRANN: effective long-read overlap detection based on dimensionality reduction and approximate nearest neighbors.

  PMID 42102720 · PMC13201080 · GigaScience · 2026 · 8 claims · 6 setups

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  A pipeline combining IDF transformation, sparse random projection (SRP), and NNDescent (the FEDRANN strategy) enables accurate overlap detection across diverse long-read datasets

  real same chromosome genome overlap exact simulated