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).

• CellMap: precision mapping of cellular landscape in spatial transcriptomics.

  PMID 41505103 · PMC12781899 · Nucleic acids research · 2026 · 7 claims · 3 setups

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  CellMap combines co-linearity of seed genes, a random forest model, and the linear assignment algorithm to achieve optimal assignment of single cells to spatial spots

  platforms single-cell expression computational scrna-seq spatial

• 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

• SeqBuster, a bioinformatic tool for the processing and analysis of small RNAs datasets, reveals ubiquitous miRNA modifications in human embryonic cells.

  PMID 20008100 · PMC2836562 · Nucleic acids research · 2010 · 8 claims · 6 setups

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  SeqBuster is a versatile web-based and stand-alone bioinformatic toolkit for processing and analyzing large-scale small RNA deep sequencing datasets.

  embryonic hesc small sequence adapter

• Frag'n'Flow: automated workflow for large-scale quantitative proteomics in high performance computing environments.

  PMID 41486154 · PMC12828970 · BMC bioinformatics · 2026 · 8 claims · 8 setups

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  Frag'n'Flow is a Nextflow-based pipeline that encapsulates FragPipe, automating manifest/workflow generation, tool dependency management, and downstream analysis for HPC/cloud/cluster environments.

  laboratory institutional breast pluripotent ram cpu storage

• DANST enables cell-type deconvolution in spatial transcriptomics using deep domain adversarial neural networks.

  PMID 41663685 · PMC12996496 · Communications biology · 2026 · 7 claims · 6 setups

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  DANST, a deconvolution framework using deep domain adversarial neural networks, achieves superior cell-type deconvolution accuracy compared with existing methods on human and mouse benchmark datasets

  heart cortex visual brain spatial cell-type

• miRge 2.0 for comprehensive analysis of microRNA sequencing data.

  PMID 30153801 · PMC6112139 · BMC bioinformatics · 2018 · 8 claims · 6 setups

  Has reproduction · 89

  An SVM-based novel miRNA detection model achieves an average MCC of 0.939 across 32 human cell datasets and outperforms miRDeep2 and miRAnalyzer on phylogenetic conservation of predicted miRNAs

  unmapped pooled colon adipose small novel a-to-i

• scXDR: drug response prediction across single-cell datasets via heterogeneous network transfer learning.

  PMID 41507436 · PMC12859067 · Communications biology · 2026 · 7 claims · 7 setups

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  scXDR outperforms seven methods that transfer drug response information from bulk RNA-seq to single-cell data, across all four evaluated scenarios

  single-cell scrna-seq scxdr gse117872 heterogeneous benchmarking type

• Variant-resolved prediction of context-specific isoform variation with a graph-based attention model.

  PMID 41547351 · PMC13069856 · Cell genomics · 2026 · 8 claims · 8 setups

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  Otari, an attention-based graph neural network trained on long-read transcriptomes across 30 tissues/brain regions, predicts tissue-specific differential isoform abundance

  tissues genomic gtex hgmd long-read variant splice

• S3RL: Enhancing Spatial Single-Cell Transcriptomics With Separable Representation Learning.

  PMID 41556263 · PMC13042551 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  S3RL is a separable representation learning framework that denoises sparse spatial transcriptomic data and enhances biologically relevant signals by integrating gene expression, spatial coordinates, and histological image features.

  dorsolateral dlpfc nanostring spatial cell-type multi-platform

• Learning collective multicellular dynamics with an interacting mean field neural SDE model.

  PMID 41564117 · PMC12854464 · PLoS computational biology · 2026 · 7 claims · 5 setups

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  scIMF models multicellular dynamics as interacting diffusion processes using a McKean-Vlasov SDE solved via Neural SDE, with a Transformer-based cell-wise attention mechanism approximating the distribution-dependent drift term

  zebrafish embryonic pancreatic temporal umap cell-wise

• 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

• Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection.

  PMID 31533612 · PMC6751684 · BMC bioinformatics · 2019 · 8 claims · 6 setups

  Has reproduction · 69

  An ensemble feature selection strategy using consensus of feature relevance across 8 classifier types identifies a 100-miRNA signature from a 1046-feature TCGA dataset

  tcga geo mirnas mirna feature bibliographic

• 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 incorporates molecular subtyping directly into the deconvolution process, outputting cohort-level cancer subtype and stromal reference profiles rather than per-individual profiles

  tcga simulated muscle-invasive ccrcc computational simulation-based deconvolution

• Celline: a flexible tool for one-step retrieval and integrative analysis of public single-cell RNA sequencing data.

  PMID 41458999 · PMC12738925 · Frontiers in bioinformatics · 2025 · 8 claims · 6 setups

  Has reproduction · 64

  Celline is a Python package that automates the full scRNA-seq workflow (retrieval, metadata extraction, preprocessing, cell-type annotation, batch correction, trajectory inference) via single-line commands.

  c57bl embryonic scrna-seq quality cell-type

• Architectural and evolutionary features of TE-derived TSSs shape tissue-specific promoter activity in the human genome.

  PMID 41620470 · PMC12963367 · Nature communications · 2026 · 8 claims · 8 setups

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  A three-step RAMPAGE-based pipeline can systematically identify TE-derived transcription start sites (TSSs) genome-wide, distinguishing them from autonomous TE transcription and background noise.

  biosamples same k562 genomic rampage rna-seq h3k4me3

• 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

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  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

• bayesReact: expression-coupled regulatory motif analysis detects microRNA activity across cancers, tissues, and at the single-cell level.

  PMID 41657247 · PMC12884093 · Nucleic acids research · 2026 · 8 claims · 6 setups

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  bayesReact is a novel fully Bayesian generative model for inferring regulatory motif (e.g., miRNA) activity from bulk or single-cell expression data

  tcga gtex stem embryonic paired semi-synthetic single-cell

• 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

• 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

• Integrated multi-omic atlas reveals the hierarchy of spatiotemporal regulatory networks of mouse gastrulation.

  PMID 41526381 · PMC12902073 · Nature communications · 2026 · 8 claims · 8 setups

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  BioCRE, a novel bi-orientation regression algorithm, more accurately links genes to candidate cis-regulatory elements (CREs) than existing tools Signac and ArchR

  gastrulating gastrula gold-standard embryo single-cell computational promoter