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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Has reproduction · 64
Characterizing Neutrophil Subtypes in Cancer Using scRNA Sequencing Demonstrates the Importance of IL1β/CXCR2 Axis in Generation of Metastasis-specific Neutrophils.
PMID 38358352 · PMC10903300 · Cancer research communications · 2024 · 8 claims · 7 setups
Two main neutrophil subtypes exist in primary tumors: an activated subtype sharing transcriptomic signatures with healthy neutrophils, and a tumor-specific subtype.
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BiCLUM: Bilateral contrastive learning for unpaired single-cell multi-omics integration.
PMID 41632825 · PMC12904586 · PLoS computational biology · 2026 · 8 claims · 5 setups
BiCLUM consistently outperforms or matches existing integration methods across multiple RNA+ATAC and RNA+protein datasets in visualization and quantitative benchmarks
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Prediction of myeloid malignant cells in Fanconi anemia using machine learning.
PMID 41557613 · PMC12818649 · PloS one · 2026 · 6 claims · 7 setups
A DNN classifier trained on AML scRNA-seq data accurately predicts AML-like transcriptional profiles at single-cell resolution
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singIST: An integrative method for comparative single-cell transcriptomics between disease models and humans.
PMID 41838773 · PMC13008255 · PLoS computational biology · 2026 · 8 claims · 7 setups
singIST provides explainable quantitative measures of disease model similarity to a human reference at the pathway, cell type, and gene levels
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FUNCellA: A Tool for Single-Sample Enrichment Analysis and Relative Pathway Activity Estimation in Single-Cell RNA Sequencing Data.
PMID 42021835 · PMC13096679 · Computational and structural biotechnology journal · 2026 · 7 claims · 8 setups
FUNCellA integrates 7 single-sample enrichment algorithms with novel relative activation thresholding methods to identify active, inactive, and intermediate cellular states in scRNA-Seq data
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Interactive analysis of single-cell trajectories in 3D space with Cell Journey.
PMID 41773942 · PMC13042281 · GigaScience · 2026 · 7 claims · 3 setups
Cell Journey is an interactive platform for computing and visualizing RNA velocity-based single-cell trajectories in 3D space.
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Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data.
PMID 41825449 · PMC13030991 · Cell reports methods · 2026 · 7 claims · 3 setups
NCLUSION matches the performance of state-of-the-art single-cell clustering techniques with significantly reduced runtime
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AutoGERN: single-cell RNA-seq gene regulatory network inference via explicit link modeling and adaptive architectures.
PMID 41871930 · PMC13064981 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 3 setups
AutoGERN explicitly models regulatory information in the message-passing space via learned link (edge) embeddings, which are scored by a lightweight MLP to infer TF–target interactions.
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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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PICDGI: A framework for predicting cancer driver genes through dynamic gene-gene interaction modeling of single-cell data.
PMID 42044093 · PMC13119913 · PLoS computational biology · 2026 · 8 claims · 3 setups
PICDGI is a Bayesian framework that predicts driver-like regulatory genes by integrating dynamic gene-gene interaction modeling with scRNA-seq data, without using DNA mutation calls
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Agent-based modeling of cellular dynamics in adoptive cell therapy.
PMID 41673469 · PMC13004971 · Communications biology · 2026 · 7 claims · 7 setups
ABMACT, an agent-based model of adoptive cell therapy, recapitulated cellular dynamics in two cancer preclinical models (lymphoma and glioblastoma mouse models).
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Bayesian inference of RNA velocity incorporating timepoints, lineage bifurcations, and count data.
PMID 41860983 · PMC13021174 · PLoS computational biology · 2026 · 8 claims · 8 setups
VeloVAE significantly outperforms previous RNA velocity methods in data fit, accuracy of inferred differentiation directions, and transcription rate estimation.
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Unveiling gene perturbation effects through gene regulatory networks inference from single-cell transcriptomic data.
PMID 41984780 · PMC13082667 · PLoS computational biology · 2026 · 7 claims · 4 setups
IGNITE is an unsupervised framework that infers directed, weighted, and signed GRNs directly from unperturbed scRNA-seq data using the inverse problem for a kinetic Ising model.
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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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GDSim: accurate simulation for single-cell transcriptomes based on the guided diffusion model.
PMID 41978379 · PMC13076945 · Briefings in bioinformatics · 2026 · 8 claims · 4 setups
GDSim, a label-guided diffusion-based deep generative network, can simulate scRNA-seq data that closely reflects the true distribution of original data
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Single-cell omics data-driven decoding of tumor clonal evolution through reinforcement learning.
PMID 41998716 · PMC13224513 · Genome medicine · 2026 · 8 claims · 3 setups
scRevol is an RL-based model that infers tumor clonal evolution from scRNA-seq-derived CNV profiles via a label assignment learning strategy.
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scSurv: a deep generative model for single-cell survival analysis.
PMID 41429574 · PMC12797213 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups
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
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TiRank prioritizes phenotypic niches in tumor microenvironment for clinical biomarker discovery.
PMID 41689080 · PMC12910759 · Genome medicine · 2026 · 7 claims · 4 setups
TiRank is a framework that integrates scRNA-seq, ST, and bulk transcriptomes using an REO-transformation module and multitask transfer learning to align data into a unified embedding space for prioritizing clinically relevant spatial niches
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Hypergraph representations of single-cell RNA sequencing data for improved cell clustering.
PMID 41896196 · PMC13070707 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups
Unipartite network projections (e.g. cell/gene co-expression networks) of scRNA-seq data lose higher-order information and are an inefficient, inflated representation of sparse transcriptomic data
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Has reproduction · 59
WASP: a versatile, web-accessible single cell RNA-Seq processing platform.
PMID 33736596 · PMC7977290 · BMC genomics · 2021 · 7 claims · 7 setups
WASP is a software platform for processing Drop-Seq-based scRNA-seq data generated with ddSEQ or 10x protocols, combining a Snakemake pre-processing pipeline with an R Shiny post-processing application.