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).
-
Full-text index only
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
-
Has reproduction · 89
Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important Features.
PMID 37509188 · PMC10377046 · Biomolecules · 2023 · 8 claims · 6 setups
GRF identifies effective features that form highly connected sub-graphs on the underlying biological network
-
Full-text index only
Evidence of recombination in Hepatitis C Virus populations infecting a hemophiliac patient.
PMID 19922637 · PMC2784780 · Virology journal · 2009 · 7 claims · 6 setups
A new intragenotypic recombinant HCV strain (1b/1a), named H23, was detected in 1 of 10 hemophiliac patients studied
-
Full-text index only
scTWAS: a powerful statistical framework for single-cell transcriptome-wide association studies.
PMID 41820391 · PMC13121454 · Nature communications · 2026 · 8 claims · 5 setups
scTWAS uses a latent-variable expression-measurement model combined with a moment-based regression to more accurately estimate genetic regulation of gene expression from single-cell data, improving GReX prediction across cell types and datasets
-
Full-text index only
Identifying the important HIV-1 recombination breakpoints.
PMID 18787691 · PMC2522274 · PLoS computational biology · 2008 · 8 claims · 3 setups
Local sequence identity between co-packaged parental RNAs strongly influences the probability of strand-transfer/breakpoint location, with fewer breakpoints occurring near mismatches
-
Has reproduction · 87
CoINcIDE: A framework for discovery of patient subtypes across multiple datasets.
PMID 26961683 · PMC4784276 · Genome medicine · 2016 · 8 claims · 4 setups
CoINcIDE is a novel framework for discovering patient subtypes across multiple datasets that requires no between-dataset transformations (e.g., batch correction)
-
Full-text index only
Iterative class discovery and feature selection using Minimal Spanning Trees.
PMID 15355552 · PMC520744 · BMC bioinformatics · 2004 · 7 claims · 5 setups
Iterating between MST-based clustering and t-statistic feature selection removes noise genes step-wise while sharpening the sample clustering
-
Has reproduction · 91
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
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
-
Full-text index only
A ligand-centered framework for γδ T cell activation in colorectal cancer revealed by single-cell and transformer-based perturbation.
PMID 41607803 · PMC12835328 · Frontiers in immunology · 2025 · 8 claims · 8 setups
CRC-infiltrating γδ T cells show varied activation levels, with the TRM-like population being the major tumor-infiltrating subtype and exhibiting the lowest effector and exhaustion signature scores.
-
Full-text index only
BayesRare: Bayesian mixture model for population-level rare cell type detection in multi-subject single-cell RNA sequencing data.
PMID 41632592 · PMC12867491 · Briefings in bioinformatics · 2026 · 8 claims · 4 setups
BayesRare is a hierarchical Bayesian mixture model framework for population-level rare cell type detection in multi-subject scRNA-seq data
-
Full-text index only
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
-
Full-text index only
Evidence for a preferential targeting of 3'-UTRs by cis-encoded natural antisense transcripts.
PMID 16204454 · PMC1243798 · Nucleic acids research · 2005 · 8 claims · 4 setups
Cis-encoded natural antisense RNAs show striking preferential complementarity to 3′-UTRs of their target genes in human and mouse genomes
-
Full-text index only
Synonymous substitution rates predict HIV disease progression as a result of underlying replication dynamics.
PMID 17305421 · PMC1797821 · PLoS computational biology · 2007 · 8 claims · 8 setups
The synonymous substitution rate (dS) of HIV env is strongly correlated with disease progression parameters (progression time, CD4+ decline rate, viral load increase rate), unlike the nonsynonymous rate (dN).
-
Full-text index only
Net positive charge of HIV-1 CRF01_AE V3 sequence regulates viral sensitivity to humoral immunity.
PMID 18787705 · PMC2527523 · PloS one · 2008 · 8 claims · 5 setups
Reduction in V3's net positive charge makes V3 less variable due to limited positive selection
-
Has reproduction · 67
Generative and integrative modeling for transcriptomics with formalin fixed paraffin embedded material.
PMID 41029822 · PMC12486589 · Journal of translational medicine · 2025 · 8 claims · 6 setups
The negative binomial distribution best fits fRNA-seq transcript counts, with little evidence supporting zero-inflated extensions
-
Full-text index only
DAESC + : high-performance, integrated software for single-cell allele-specific expression data.
PMID 41851619 · PMC13169709 · BMC bioinformatics · 2026 · 8 claims · 6 setups
DAESC+ is a dual-module, end-to-end software package (DAESC-P for preprocessing, DAESC-GPU for differential analysis) for single-cell ASE data