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).

• 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

• HArmonized single-cell RNA-seq Cell type Assisted Deconvolution (HASCAD).

  PMID 37907883 · PMC10619225 · BMC medical genomics · 2023 · 6 claims · 5 setups

  Has reproduction · 67

  HASCAD, a DNN-based cell composition deconvolution model, predicts the fractions of up to 15 immune cell types from bulk RNA-seq.

  pbmc bulk tcga-lihc harmony-symphony scrna-seq simulated bulk

• A reference profile-free deconvolution method to infer cancer cell-intrinsic subtypes and tumor-type-specific stromal profiles.

  PMID 32111252 · PMC7049190 · Genome medicine · 2020 · 8 claims · 8 setups

  Has reproduction · 91

  DeClust is a reference profile-free deconvolution method that simultaneously deconvolves bulk tumor expression into cancer, immune, and stromal compartments and clusters samples into cancer cell-intrinsic molecular subtypes, outputting subtype-specific reference profiles for the cohort rather than for individuals.

  solid muscle-invasive ccrcc for bulk single-cell scrna-seq

• Digital sorting of complex tissues for cell type-specific gene expression profiles.

  PMID 23497278 · PMC3626856 · BMC bioinformatics · 2013 · 8 claims · 8 setups

  Has reproduction · 85

  The Digital Sorting Algorithm (DSA) deconvolves mixed tissue expression into cell type-specific profiles using only marker genes, without requiring prior knowledge of cell type frequencies or in vitro pure-cell profiles.

  liver im-9 immune deconvolved microarray simulation roc

• Estimating and Correcting for Off-Target Cellular Contamination in Brain Cell Type Specific RNA-Seq Data.

  PMID 33746712 · PMC7966716 · Frontiers in molecular neuroscience · 2021 · 6 claims · 7 setups

  Has reproduction · 50

  A computational method using high-quality scRNA-seq reference data can estimate per-sample, per-cell-type off-target contamination coefficients in sctRNA-seq datasets.

  brain cortex allen lcm-seq lcm-seq scrna-seq marker

• Mouse-Geneformer: A deep learning model for mouse single-cell transcriptome and its cross-species utility.

  PMID 40106407 · PMC11964219 · PLoS genetics · 2025 · 7 claims · 6 setups

  Has reproduction · 95

  Mouse-Geneformer, a Transformer Encoder model pre-trained via masked-token self-supervised learning on mouse-Genecorpus-20M, was successfully constructed following the original human Geneformer architecture.

  healthy scrna-seq disease scrna-seq type perturbation

• Insights into the coupling of duplication events and macroevolution from an age profile of animal transmembrane gene families.

  PMID 16895434 · PMC1534073 · PLoS computational biology · 2006 · 8 claims · 7 setups

  Full-text index only

  The density of transmembrane gene duplicates positively correlates with the estimated maximum number of cell types of common ancestors

  transmembrane simulated age duplicate maximum kernel monte

• The Multi-State Epigenetic Pacemaker enables the identification of combinations of factors that influence DNA methylation.

  PMID 39549198 · PMC11979089 · GeroScience · 2025 · 9 claims · 2 setups

  Has reproduction · 54

  The Multi-State Epigenetic Pacemaker (MSEPM) can accurately model multiple methylation-associated factors (e.g., age, sex, cell-type) simultaneously.

  blood simulated methylation simulation