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).
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Harvesting more reads from single-cell combinatorial barcoding data with scarecrow.
PMID 41967853 · PMC13125751 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 3 setups
scarecrow screens a subsample of reads to generate position-specific barcode profiles, then flexibly identifies barcode sequences in reads while accounting for positional jitter
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Has reproduction · 67
HArmonized single-cell RNA-seq Cell type Assisted Deconvolution (HASCAD).
PMID 37907883 · PMC10619225 · BMC medical genomics · 2023 · 6 claims · 4 setups
Removal of batch effects in reference scRNA-seq datasets (via Harmony-Symphony) benefits the task of cell composition deconvolution
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PreTSA: computationally efficient modeling of temporal and spatial gene expression patterns.
PMID 41673899 · PMC12998178 · Genome biology · 2026 · 7 claims · 8 setups
PreTSA dramatically reduces computational time and memory versus GAM (Monocle, TSCAN) and PseudotimeDE for identifying temporally variable genes (TVGs) while producing highly similar results
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An AI-Enabled Single-Cell Transcriptomic Analysis Pipeline for Gene Signature Discovery in Natural Killer Cells Linked to Remission Outcomes in Chronic Myeloid Leukemia.
PMID 41972591 · PMC13072394 · Biology · 2026 · 8 claims · 7 setups
GAFA integrates latent-space representation, pseudotime trajectory modeling, GRN inference, and machine learning-based gene panel discovery into a single coherent pipeline, unlike existing workflows that treat these steps independently.
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Has reproduction · 51
Cell type-specific eQTL analysis of COVID-19 based on single-cell transcriptomic data.
PMID 41064594 · PMC12501775 · NAR genomics and bioinformatics · 2025 · 8 claims · 8 setups
Single-cell eQTL analysis across eight immune cell types identified 2593 genes whose expression is significantly associated with common genetic polymorphisms, with most genes showing cell type-specific effects
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Single-Cell RNA-Seq Profiling of Transposable Element Expression in Human Peripheral Blood Cells During Viral Infections.
PMID 41683713 · PMC12898442 · International journal of molecular sciences · 2026 · 8 claims · 8 setups
TE expression is significantly higher in PBMCs from viral infection cohorts (and recovered individuals) compared to healthy controls
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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
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)
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Comprehensive cellular analysis with single-nucleus RNA-seq of archived PAXgene whole blood samples.
PMID 41844163 · PMC13030975 · Cell reports methods · 2026 · 8 claims · 7 setups
Cell lysis (CL) nuclei isolation yields substantially more nuclei and less biased immune cell proportions than mechanical separation (MS)
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PURE-seq integrates FACS and PIP-seq for single-cell genomics of ultra-rare cells.
PMID 41565684 · PMC12881479 · Nature communications · 2026 · 8 claims · 8 setups
PURE-seq integrates FACS sorting directly into PIP-seq barcoding reaction tubes, minimizing manual handling and cell loss for rare-cell single-cell sequencing.
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Has reproduction · 85
ScLRTC: imputation for single-cell RNA-seq data via low-rank tensor completion.
PMID 34844559 · PMC8628418 · BMC genomics · 2021 · 8 claims · 8 setups
scLRTC imputes dropout entries closest to the original expression values on simulated datasets, outperforming other state-of-the-art methods by SSE and PCC.
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Deep-Learning Tool ScVital Enables Species-Agnostic Integration of Cancer Cell States.
PMID 41223329 · PMC13053053 · Cancer research · 2026 · 7 claims · 7 setups
scVital is a variational autoencoder with an adversarially trained discriminator that embeds scRNA-seq data from different species into a species-agnostic latent space to overcome batch effect.
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CellPredX, a computational framework for cross-data type, cross-sample, and cross-protocol cell type annotation through domain adaptation and deep metric learning.
PMID 41481570 · PMC12758788 · PLoS computational biology · 2026 · 8 claims · 7 setups
CellPredX is a unified semi-supervised framework integrating domain adaptation and deep metric learning to align heterogeneous embeddings for cross-modality cell type annotation.
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Robust and efficient annotation of cell states through gene signature scoring.
PMID 41708334 · PMC12951948 · Genome research · 2026 · 8 claims · 8 setups
Established scoring methods (Seurat, SCANPY, UCell, JASMINE) fail to provide robust and comparable score distributions across diverse signatures and experimental conditions, precluding accurate unsupervised cell-state annotation.
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Scalable cell-specific coexpression networks for granular regulatory pattern discovery with NeighbourNet.
PMID 41786602 · PMC13138013 · Genome research · 2026 · 7 claims · 5 setups
NNet uses PCA embedding followed by local KNN regression in PC space to construct cell-specific coexpression networks (CSNs), improving computational efficiency and estimate stability versus pairwise approaches.
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Deconvolving cell-type-specific gene expression profiles from bulk RNA-seq samples.
PMID 41886524 · PMC13038110 · PLoS computational biology · 2026 · 8 claims · 6 setups
BLUE, a U-Net-based deep learning model with dual branches (U-Net for GEPs, MLP for proportions), accurately predicts cell-type proportions and cell-type-specific gene expression profiles from bulk RNA-seq.
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Has reproduction · 68
Cell-type annotation with accurate unseen cell-type identification using multiple references.
PMID 37379341 · PMC10335708 · PLoS computational biology · 2023 · 8 claims · 4 setups
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
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Has reproduction · 94
Hierarchical cell-type identifier accurately distinguishes immune-cell subtypes enabling precise profiling of tissue microenvironment with single-cell RNA-sequencing.
PMID 36681937 · PMC10025442 · Briefings in bioinformatics · 2023 · 8 claims · 8 setups
HiCAT is a hierarchical, marker-based cell-type identifier that uses gene set analysis (GSA) scoring with markers structured in a three-level taxonomy tree (major-type, minor-type, subset)
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Has reproduction · 69
Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses.
PMID 34675242 · PMC8531356 · Scientific reports · 2021 · 8 claims · 8 setups
Only 8 of 20 previously published COVID-19 scRNA-seq findings were reproducible across all relevant datasets in a standardized meta-analysis
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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
SuperMap learns cross-modal feature mappings directly from unpaired multimodal data without requiring paired training data
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scDenorm: a denormalization tool for integrating single-cell transcriptomics data.
PMID 41915012 · PMC13142155 · GigaScience · 2026 · 8 claims · 7 setups
Inconsistent delta-method normalization across datasets introduces biases (e.g., B-cell separation) that persist even after integration with Harmony, scanorama, or BBKNN.