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).

• Bridging unpaired single-cell multimodal data for integrative analyses with SuperMap.

  PMID 41650244 · PMC12890892 · Proceedings of the National Academy of Sciences of the United States of America · 2026 · 8 claims · 7 setups

  Full-text index only

  SuperMap learns cross-modal feature mappings directly from unpaired multimodal data without requiring paired training data

  pbmc bone skin embryos scrna-seq scnmt-seq asap-seq

• 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

• A cellular epigenetic classification system for glioblastoma.

  PMID 41499453 · PMC13128495 · Neuro-oncology · 2026 · 8 claims · 8 setups

  Full-text index only

  ITHresolveGBM, a hierarchical two-step NMF method, deconvolutes bulk GBM DNA methylation profiles into three non-malignant (immune, glial, neuronal) and three malignant components

  gbm healthy pseudo-bulk tcga illumina single-cell deconvolution

• Evaluating deconvolution methods using real bulk RNA-expression data for robust prognostic insights across cancer types.

  PMID 41566530 · PMC12906006 · Genome biology · 2026 · 7 claims · 6 setups

  Full-text index only

  Pseudobulk and real bulk RNA-seq deconvolution performance differ significantly, and method ranking consistency is lower between pseudobulk and real bulk than within either data type alone

  breast real colon tcga paired pseudobulk bulk

• Large-scale estimation of bacterial and archaeal DNA prevalence in metagenomes reveals biome-specific patterns.

  PMID 41854267 · PMC13098197 · mSystems · 2026 · 8 claims · 6 setups

  Full-text index only

  SPF scalably and robustly estimates the fraction of bacterial and archaeal reads in a metagenome using detection of prokaryotic single-copy marker genes, without requiring eukaryotic or viral reference genomes

  zymo cami simulated fecal simulated shotgun spf

• Machine-learning approaches for classifying haplogroup from Y chromosome STR data.

  PMID 18551166 · PMC2396484 · PLoS computational biology · 2008 · 8 claims · 5 setups

  Full-text index only

  Y-STR allelic variability is partitioned more by differences among haplogroups than by differences among populations, suggesting Y-STRs carry haplogroup information

  globally same computational publicly y-str snp supervised

• 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

• 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

• Enhanced Generalizability of RNA Secondary Structure Prediction via Convolutional Block Attention Network and Ensemble Learning.

  PMID 40871599 · PMC12388828 · Molecules (Basel, Switzerland) · 2025 · 8 claims · 8 setups

  Has reproduction · 87

  TrioFold integrates base-pairing clues from thermodynamic- and DL-based methods via ensemble learning and a convolutional block attention mechanism to enhance RSS prediction generalizability.

  testseta bprna-new ts-inter individual jaccard pca ensemble

• Clustering of phosphorylation site recognition motifs can be exploited to predict the targets of cyclin-dependent kinase.

  PMID 17316440 · PMC1852407 · Genome biology · 2007 · 8 claims · 6 setups

  Full-text index only

  CDK consensus motifs are frequently clustered (closely spaced) in known CDK substrate proteins rather than uniformly distributed

  cerevisiae cycle reanalysis statistical optimal

• CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic Data.

  PMID 41231245 · PMC13053056 · Cancer research · 2026 · 7 claims · 7 setups

  Full-text index only

  CanSig is a comprehensive benchmarking tool for evaluating computational methods that identify shared transcriptional signatures in cancer from scRNA-seq data

  neftel kim scrna-seq same scrna-seq ground-truth robustness

• omnideconv: a unifying framework for using and benchmarking single-cell-informed deconvolution of bulk RNA-seq data.

  PMID 41582216 · PMC12837286 · Genome biology · 2026 · 8 claims · 6 setups

  Full-text index only

  omnideconv is an R package providing a unified interface to twelve second-generation deconvolution methods (AutoGeneS, BayesPrism, Bseq-SC, Bisque, CDseq, CIBERSORTx, CPM, DWLS, MOMF, MuSiC, SCDC, Scaden)

  blood-derived pbmc blood spleen bulk scrna-seq pseudo-bulk

• Evaluating deep learning based structure prediction methods on antibody-antigen complexes.

  PMID 41863324 · PMC13061134 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups

  Full-text index only

  Increased sampling improves the chance of generating a correct antibody-antigen model in a roughly log-linear manner with sample size

  alphafold2.3 alphafold3 boltz-1 chai-1 complex structural

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

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

  Full-text index only

  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

• MultiSP deciphers tissue structure and multicellular communication from spatial multi-omics data.

  PMID 41650976 · PMC13174227 · Cell genomics · 2026 · 7 claims · 5 setups

  Full-text index only

  MultiSP outperforms existing spatial and single-cell multi-omics integration methods in detecting biologically accurate spatial domains across multiple spatial multi-omics technologies and tissue types

  lymph embryo brain postnatal spatial misar-seq chromvar

• A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long-Read Data.

  PMID 41669879 · PMC13088316 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

  Full-text index only

  SpecImmune is the first unified computational framework to simultaneously genotype HLA, KIR, IG, TCR, and CYP genes from long-read data.

  1kgp hprc hgsvc long-read targeted germline

• SPrUCE: Utilizing Ultraconserved Elements of DNA for Population-Level Genetic Diversity Estimation.

  PMID 42026820 · PMC13106921 · Molecular ecology resources · 2026 · 7 claims · 5 setups

  Full-text index only

  Naive diversity estimators applied directly to UCE alignments underestimate nucleotide diversity due to negative selection/conservation at the UCE core.

  honeybee finches sheep smelt whole-genome targeted

• 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

• 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

• Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important Features.

  PMID 37509188 · PMC10377046 · Biomolecules · 2023 · 8 claims · 6 setups

  Has reproduction · 89

  GRF identifies effective features that form highly connected sub-graphs on the underlying biological network

  synthetic tcga embryonic simulation sub-graph reproducibility