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).

• 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

• VIST: variational inference for single cell time series.

  PMID 41535949 · PMC12892444 · Genome biology · 2026 · 8 claims · 6 setups

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  VIST is a VAE-based method that decomposes single-cell gene expression into time-dependent and time-independent latent components

  toy drosophila aorta lung synthetic time-course latent

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

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

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  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

• Modeling ChIP sequencing in silico with applications.

  PMID 18725927 · PMC2507756 · PLoS computational biology · 2008 · 8 claims · 4 setups

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  Observed ChIP-seq tag counts follow an initial power-law distribution followed by a long right tail.

  stat1 ncbi chip-seq motif

• Eduomics: a Nextflow pipeline to simulate -omics data for education.

  PMID 41816779 · PMC12972896 · NAR genomics and bioinformatics · 2026 · 8 claims · 4 setups

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  Eduomics is a Nextflow DSL2 pipeline that automates generation of validated variant-calling and RNA-seq datasets for education while abstracting away technical requirements

  chromosome full simulated exome rna-seq pipeline

• RNA-Seq alignment to individualized genomes improves transcript abundance estimates in multiparent populations.

  PMID 25236449 · PMC4174954 · Genetics · 2014 · 8 claims · 7 setups

  Has reproduction · 50

  Genetic variants distinguishing an individual genome from the reference cause read misalignment and biased transcript abundance estimates, and fine-tuning of alignment algorithms does not correct this problem.

  liver genomic cast simulated bulk high-density rna-seq

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

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

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  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

• spotter: a single-nucleotide resolution stochastic simulation model of supercoiling-mediated transcription and translation in prokaryotes.

  PMID 37602419 · PMC10516669 · Nucleic acids research · 2023 · 8 claims · 4 setups

  Has reproduction · 77

  spotter is the first simulation model to integrate transcription, DNA supercoiling, and translation simultaneously in a single stochastic framework for prokaryotes.

  coli simulated net-seq ribosome stochastic

• 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

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  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

• Quality control method for RNA-seq using single nucleotide polymorphism allele frequency.

  PMID 25243705 · PMC4231238 · Genes to cells : devoted to molecular & cellular mechanisms · 2014 · 8 claims · 8 setups

  Has reproduction · 50

  SNP allele frequency distributions from RNA-seq reads can detect contaminating cells whose genomic background differs from the target cells; the mode of the distribution reflects the cellular composition while its variance reflects PCR bias.

  mathematical escs pure stap simulation rna-seq contamination

• 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

• saseR: juggling offsets unlocks RNA-seq tools for fast and scalable differential usage, aberrant splicing and expression retrieval.

  PMID 41709279 · PMC13019952 · Genome biology · 2026 · 8 claims · 5 setups

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  Replacing the library-size offset with the log of the total gene count in NB-based bulk RNA-seq models (edgeR/DESeq2) lets the mean-model parameters be interpreted as transcript/exon usage, unlocking these tools for differential usage and aberrant splicing without DEXSeq-style subject-specific blocking covariates.

  simulated bulk cohort aberrant differential exon

• spliceJAC: transition genes and state-specific gene regulation from single-cell transcriptome data.

  PMID 36321549 · PMC9627675 · Molecular systems biology · 2022 · 8 claims · 8 setups

  Has reproduction · 53

  spliceJAC uses unspliced and spliced mRNA count matrices to construct cell state-specific gene-gene regulatory interaction (Jacobian) matrices from scRNA-seq data

  bistable three-gene emt circuits simulation mixed-state grn

• Reconstructing single-cell resolution from spatial transcriptomics with CellRefiner.

  PMID 41760664 · PMC13066420 · Nature communications · 2026 · 8 claims · 8 setups

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  CellRefiner is a physical/particle-based model (subcellular element method) that integrates scRNA-seq and spatial transcriptomics data to reconstruct single-cell resolution spatial data

  hypothalamic embryo hippocampus visual merfish seqfish slide-seqv2

• Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage.

  PMID 41779826 · PMC12959883 · eLife · 2026 · 8 claims · 5 setups

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  DeepTX is an interpretable, scalable deep learning inference framework that links mechanistic transcription models to scRNA-seq data to infer genome-wide transcriptional burst kinetics

  synthetic embryonic colorectal computational stochastic scrna-seq deep

• A Statistical Framework for Measuring Reproducibility and Replicability of High-Throughput Experiments From Multiple Sources.

  PMID 41636474 · PMC12871010 · Statistics in medicine · 2026 · 8 claims · 3 setups

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  nestedIDR, a nested copula mixture model, extends the IDR framework to multi-lab studies by jointly modeling within-lab reproducibility and between-lab replicability

  simulated encode seqc simulation chip-seq rna-seq

• MoDLE: high-performance stochastic modeling of DNA loop extrusion interactions.

  PMID 36451166 · PMC9710047 · Genome biology · 2022 · 8 claims · 6 setups

  Has reproduction · 50

  MoDLE is a high-performance stochastic model/software for simulating DNA-DNA contacts generated by loop extrusion genome-wide

  h1-hesc five synthetic chip-seq stochastic molecular

• Effect of read-mapping biases on detecting allele-specific expression from RNA-sequencing data.

  PMID 19808877 · PMC2788925 · Bioinformatics (Oxford, England) · 2009 · 8 claims · 6 setups

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  Reads mapped to the reference genome show a significant bias toward the reference allele at heterozygous SNPs

  lymphoblastoid simulated hapmap genes rna-seq read-mapping eqtl

• 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

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  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

• Partially shared multi-modal embedding learns holistic representation of cell state.

  PMID 41741805 · PMC13021527 · Nature computational science · 2026 · 8 claims · 5 setups

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  APOLLO automatically learns partial information sharing between multiple data modalities using an autoencoder with a partially overlapping latent space trained via latent optimization.

  simulated paired single simulation scrna-seq multiplexed