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).

• Single-Cell Differential Network Analysis with Sparse Bayesian Factor Models.

  PMID 35186014 · PMC8855158 · Frontiers in genetics · 2021 · 8 claims · 2 setups

  Has reproduction · 85

  A hierarchical Bayesian factor model using treatment-dependent latent factor loadings can construct gene co-expression networks from scRNA-seq data and identify differences in network structure between two (or more) biological conditions.

  simulated sars-cov-2 scrna-seq

• IsomiR_Window: a system for analyzing small-RNA-seq data in an integrative and user-friendly manner.

  PMID 33522913 · PMC7852101 · BMC bioinformatics · 2021 · 7 claims · 3 setups

  Has reproduction · 78

  IsomiR Window is a novel integrated pipeline plus browser GUI that combines over ten third-party tools with a new algorithm capable of detecting all types of isomiRs (5' end, 3' end, tailings, SNP/editing, and fuzzy combinations)

  simulated basal isomir small-rna-seq mirna

• 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

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

  PMID 37907883 · PMC10619225 · BMC medical genomics · 2023 · 6 claims · 4 setups

  Has reproduction · 67

  Removal of batch effects in reference scRNA-seq datasets (via Harmony-Symphony) benefits the task of cell composition deconvolution

  pbmc derived tcga-lihc scrna-seq simulated bulk

• Genetic demultiplexing of pooled single-cell RNA-sequencing samples in cancer facilitates effective experimental design.

  PMID 34553212 · PMC8458035 · GigaScience · 2021 · 8 claims · 6 setups

  Has reproduction · 87

  Genetic variation-based demultiplexing tools can be effectively deployed on pooled scRNA-seq experimental designs in cancer tissue (HGSOC and lung adenocarcinoma) despite somatic variation.

  hgsoc lung healthy scrna-seq bulk downstream

• BayesRare: Bayesian mixture model for population-level rare cell type detection in multi-subject single-cell RNA sequencing data.

  PMID 41632592 · PMC12867491 · Briefings in bioinformatics · 2026 · 8 claims · 4 setups

  Full-text index only

  BayesRare is a hierarchical Bayesian mixture model framework for population-level rare cell type detection in multi-subject scRNA-seq data

  synthetic breast kidney parkinson's scrna-seq

• RADAR: differential analysis of MeRIP-seq data with a random effect model.

  PMID 31870409 · PMC6927177 · Genome biology · 2019 · 8 claims · 6 setups

  Has reproduction · 10

  RADAR is a novel analytical tool for differential methylation analysis of MeRIP-seq data combining gene-level INPUT normalization with a Poisson random effect model.

  simulated fallopian pancreatic liver merip-seq m6a-merip-seq pca

• FusionQ: a novel approach for gene fusion detection and quantification from paired-end RNA-Seq.

  PMID 23768108 · PMC3691734 · BMC bioinformatics · 2013 · 8 claims · 8 setups

  Has reproduction · 65

  FusionQ is a novel tool that detects gene fusions, constructs chimerical transcript structures, and estimates their abundances from paired-end RNA-Seq data.

  simulated four rna-seq randomly simulated paired-end read-mappability

• scSurv: a deep generative model for single-cell survival analysis.

  PMID 41429574 · PMC12797213 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

  Full-text index only

  scSurv combines a Cox proportional hazards model with a deep generative model (VAE) of single-cell transcriptomes to estimate individual cellular contributions to clinical outcomes

  simulated tcga melanoma renal scrna-seq bulk single-cell

• scGACL: a generative adversarial network with multi-scale contrastive learning for accurate single-cell RNA sequencing imputation.

  PMID 41632596 · PMC12866930 · Briefings in bioinformatics · 2026 · 8 claims · 6 setups

  Full-text index only

  scGACL, a GAN integrated with multi-scale contrastive learning, is proposed to overcome the over-smoothing problem in scRNA-seq imputation

  simulated real-world scrna-seq scrna-seq clustering gene

• RNASEQR--a streamlined and accurate RNA-seq sequence analysis program.

  PMID 22199257 · PMC3315322 · Nucleic acids research · 2012 · 8 claims · 7 setups

  Has reproduction · 86

  RNASEQR is a new RNA-seq mapper/aligner that combines a BWT-based (Bowtie) transcriptomic/genomic alignment with hash-based BLAT local alignment in three sequential steps: transcriptome mapping, novel exon detection, and anchor-and-align novel splice junction identification.

  ccds glioblastoma experimental simulated simulated bulk quality

• Bayesian transcriptome assembly.

  PMID 25367074 · PMC4397945 · Genome biology · 2014 · 8 claims · 8 setups

  Has reproduction · 68

  Bayesembler, a probabilistic transcriptome assembler built on a Bayesian model of the RNA sequencing process with Gibbs sampling over expressed candidates, abundances and read assignments, is introduced.

  k562 embryonic dendritic rna-seq simulated paired-end long-read

• bakR: uncovering differential RNA synthesis and degradation kinetics transcriptome-wide with Bayesian hierarchical modeling.

  PMID 37028916 · PMC10275263 · RNA (New York, N.Y.) · 2023 · 8 claims · 4 setups

  Full-text index only

  bakR uses Bayesian hierarchical modeling to share information (specifically a replicate variability vs. read count trend) across transcripts, increasing statistical power for differential kinetic analysis

  simulated existing simulated nucleotide

• Transcriptional landscape of repetitive elements in normal and cancer human cells.

  PMID 25012247 · PMC4122776 · BMC genomics · 2014 · 8 claims · 8 setups

  Has reproduction · 76

  RepEnrich, a computational method that uses all mapping reads (uniquely mapping plus multi-mapping reads assigned to repetitive element subfamily assemblies/pseudogenomes), quantifies genome-wide repetitive element enrichment

  chromosomes lines imr-90 prostate simulated pol chip-seq

• OTMODE: an optimal transport theory-based framework for identifying differential features in single-cell multi-omics data.

  PMID 41335419 · PMC12766913 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups

  Full-text index only

  OTMODE, using an unbalanced Sinkhorn algorithm and Wald test, improves differential feature identification in single-cell multi-omics data

  simulated classical degs naive simulated bulk real

• 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

  Full-text index only

  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

• FLASH-MM: fast and scalable single-cell differential expression analysis using linear mixed-effects models.

  PMID 41644528 · PMC12982622 · Nature communications · 2026 · 8 claims · 6 setups

  Full-text index only

  FLASH-MM produces LMM parameter estimates identical to lmer (lme4) up to the sixth decimal place while being 50- to 140-fold faster as sample size increases from 20,000 to 120,000 cells

  simulated same healthy female-biased simulated comparative single-cell

• PreTSA: computationally efficient modeling of temporal and spatial gene expression patterns.

  PMID 41673899 · PMC12998178 · Genome biology · 2026 · 7 claims · 8 setups

  Full-text index only

  PreTSA dramatically reduces computational time and memory versus GAM (Monocle, TSCAN) and PseudotimeDE for identifying temporally variable genes (TVGs) while producing highly similar results

  simulated null pbmc pancreas pseudotime tvg false-positive

• Assessment of dispersion metrics for estimating single-cell transcriptional variability.

  PMID 41770747 · PMC12970974 · PLoS computational biology · 2026 · 7 claims · 4 setups

  Full-text index only

  The variance-to-mean ratio (VMR/Fano factor) scales approximately linearly with increasing dispersion and is independent of dataset size.

  simulated manivannan lana-elola yuzwa computational scrna-seq

• scTWAS: a powerful statistical framework for single-cell transcriptome-wide association studies.

  PMID 41820391 · PMC13121454 · Nature communications · 2026 · 8 claims · 5 setups

  Full-text index only

  scTWAS uses a latent-variable expression-measurement model combined with a moment-based regression to more accurately estimate genetic regulation of gene expression from single-cell data, improving GReX prediction across cell types and datasets

  onek1k-derived onek1k-based immune brain simulated two-sample stage