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 dissection of regulated cell death dynamics in ovarian aging.

  PMID 41689119 · PMC13005338 · Journal of ovarian research · 2026 · 8 claims · 8 setups

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  The RCD landscape of ovarian aging had not previously been characterized at single-cell resolution

  ovary serum scrna-seq bulk single-nucleus

• 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

• Embeddings from language models are good learners for single-cell data analysis.

  PMID 41726097 · PMC12921509 · Patterns (New York, N.Y.) · 2026 · 8 claims · 8 setups

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  scELMo combines LLM-derived embeddings of gene and cell metadata with raw single-cell expression data via matrix operations to generate cell embeddings without pretraining a new model

  scrna-seq multi-batch diseased perturbation clustering batch cell-type

• Single-cell RNA-sequencing of circulating tumour cells: A practical guide to workflow and translational applications.

  PMID 41053409 · PMC12500777 · Cancer metastasis reviews · 2025 · 8 claims · 8 setups

  Has reproduction

  A 12-step CTC-specific scRNA-seq workflow is proposed, spanning enrichment, single-cell sorting, sequencing, data pre-processing and downstream analysis, to overcome methodological inconsistencies in the field.

  ctcs pooled single neuroblastoma scrna-seq multi-omics

• A copula-infused graph neural network for cell type classification in single-cell RNA sequencing data.

  PMID 41940310 · PMC12914865 · Computational and structural biotechnology journal · 2026 · 8 claims · 5 setups

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  scCopulaGNN combines copula theory with graph neural network representation learning for scRNA-seq cell type classification

  brain pancreas kidney turtle scrna-seq simulated

• scDEBGCL: a deep embedding approach based on bipartite graph contrastive learning for single-cell RNA-seq data.

  PMID 41981652 · PMC13188691 · BMC biology · 2026 · 7 claims · 3 setups

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  scDEBGCL is a deep embedding method for scRNA-seq data based on bipartite graph contrastive learning, integrating contrastive learning, graph reconstruction, and ZINB-based data reconstruction losses.

  nine yan dpt scrna-seq trajectory

• 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

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  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

• Partial domain adaptation enables cross domain cell type annotation between scRNA-seq and snRNA-seq.

  PMID 42090457 · PMC13170964 · PLoS computational biology · 2026 · 7 claims · 5 setups

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  ScNucAdapt is a partial domain adaptation framework that enables cross-domain cell type annotation between paired or unpaired scRNA-seq and snRNA-seq datasets.

  bladder kidney cortex frozen scrna-seq snrna-seq

• scZiva: imputation method for single-cell RNA-seq data with zero-inflated variational autoencoder.

  PMID 41857511 · PMC13122936 · BMC bioinformatics · 2026 · 8 claims · 1 setups

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  scZiva is a novel VAE-based imputation method for scRNA-seq data using a Zero-Inflated Negative Binomial (ZINB) likelihood.

  simulated scrna-seq

• Integrating and mapping single-cell transcriptomics across the entire gene expression space.

  PMID 42059480 · PMC13130072 · Briefings in bioinformatics · 2026 · 8 claims · 1 setups

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  scGES is a deep learning framework that corrects batch effects across the entire gene expression space by leveraging information from both HVGs and LVGs

  real scrna-seq

• scSAMAC: saliency-adjusted masking induced attention contrastive learning for single-cell clustering.

  PMID 40131310 · PMC11934584 · Briefings in bioinformatics · 2025 · 8 claims · 1 setups

  Has reproduction · 85

  scSAMAC integrates contrastive learning and negative binomial (NB) losses into a VAE, extracting features via contrastive unit similarity while preserving intrinsic data characteristics to enhance robustness and generalization in clustering.

  scrna-seq scrna-seq

• scDecorr: feature decorrelation based representation learning enables self-supervised alignment of multiple single-cell experiments.

  PMID 42056283 · PMC13128840 · Scientific reports · 2026 · 7 claims · 1 setups

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  scDecorr learns robust cell representations of unlabelled single-cell experiments in a negative-sample-free self-supervised fashion using feature decorrelation

  datasets scrna-seq

• CellFishing.jl: an ultrafast and scalable cell search method for single-cell RNA sequencing.

  PMID 30744683 · PMC6371477 · Genome biology · 2019 · 8 claims · 5 setups

  Has reproduction · 97

  CellFishing.jl achieves accuracy comparable to state-of-the-art software (scmap-cell) but is markedly faster

  scrna-seq shekhar2016 svd lsh hamming

• Single-cell multiomics profiling reveals heterogeneous transcriptional programs and microenvironment in DSRCTs.

  PMID 38781959 · PMC11228554 · Cell reports. Medicine · 2024 · 8 claims · 8 setups

  Has reproduction · 76

  DSRCT tumor cells cluster into consistent subpopulations with partially overlapping lineage- and metabolism-related transcriptional programs across patients and samples

  fresh matched archived dsrct scrna-seq single-nucleus bulk

• Migratory Tumor Cells Cooperate with Cancer Associated Fibroblasts in Hormone Receptor-Positive and HER2-Negative Breast Cancer.

  PMID 38892065 · PMC11172245 · International journal of molecular sciences · 2024 · 8 claims · 8 setups

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  HR+/HER2-BC tumor epithelial cells comprise four single-cell-defined functional (SC-f) subtypes: migratory, secretory, proliferating, and dysfunctional.

  hr+ epcam-sorted tumor tcga-brca droplet sidr-seq bulk

• Systematic evaluation of single-cell multimodal data integration enhances cell type resolution and discovery of clinically relevant states in complex tissues.

  PMID 41821037 · PMC12983708 · Genome biology · 2026 · 8 claims · 8 setups

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  Horizontal integration of scRNA-seq and snRNA-seq improves cell-type identification

  renal kidney pbmc heart scrna-seq snrna-seq snatac-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

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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

• 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

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  CellPredX is a unified semi-supervised framework integrating domain adaptation and deep metric learning to align heterogeneous embeddings for cross-modality cell type annotation.

  pbmc fetal pancreas gse149683 matched unmatched cross-protocol

• 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

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  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

• Single-cell multiome and enhancer connectome of human retinal pigment epithelium and choroid nominate causal variants in macular degeneration.

  PMID 41528844 · PMC12971065 · Cell reports · 2026 · 8 claims · 8 setups

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  Generated a single-cell gene expression and chromatin accessibility (multiome) atlas of human RPE and choroid from control and AMD eyes

  rpe-choroid rpe arpe-19 scatac-seq joint h3k27ac activity-by-contact