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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MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features.
PMID 17553836 · PMC1933124 · Nucleic acids research · 2007 · 8 claims · 8 setups
A hybrid feature combining local contiguous triplet structure-sequence composition, MFE of the secondary structure, and P-value of a randomization test improves classification of real vs pseudo pre-miRNAs
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SiCmiR Atlas: Single-Cell miRNA Landscape Reveals Hub-miRNA and Network Signatures in Human Cancers.
PMID 41691474 · PMC13042402 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups
SiCmiR, a two-layer neural network, predicts mature miRNA expression profiles from only 977 LINCS L1000 landmark genes
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Benchmarking component choices for unpaired single cell RNA and epigenomic integration.
PMID 41987329 · PMC13192178 · Genome biology · 2026 · 7 claims · 8 setups
Gene activity scores (GAS) show limited correlation with actual gene expression but effectively preserve cellular neighborhood structure and support clustering.
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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 · 32
Developing prognostic gene panel of survival time in lung adenocarcinoma patients using machine learning.
PMID 35117753 · PMC8799101 · Translational cancer research · 2020 · 8 claims · 5 setups
Naïve Bayes using a 22-gene panel is the best-performing and most stable machine learning model for predicting LUAD survival time (>3 vs <3 years)
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Has reproduction · 53
Blood RNA signature RISK4LEP predicts leprosy years before clinical onset.
PMID 34090257 · PMC8182229 · EBioMedicine · 2021 · 8 claims · 6 setups
1,613 genes were differentially expressed in leprosy progressors before diagnosis (t=1) compared to household contacts.
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Radiogenomics predicts immune microenvironment heterogeneity and response to combination immunotherapy in hepatocellular carcinoma.
PMID 41555384 · PMC12895822 · Journal of translational medicine · 2026 · 8 claims · 8 setups
A parsimonious 2-gene immune-related signature (IRS = 0.425×KPNA2 + 0.302×SMG5) is significantly associated with immune heterogeneity and response to ICI plus anti-angiogenic combination therapy in HCC
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Mapping Genetic Regulation of Transcription to Identify Functional Variants and Genes Associated with Pancreatic Cancer Risk.
PMID 41824785 · PMC13205582 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups
A genome-wide cis-eQTL meta-analysis of 482 pancreatic tissues (177 TCGA tumor + 305 GTEx normal) identified 1,123,483 significant SNP-gene pairs, 709,720 unique eQTLs, and 13,758 eGenes (FDR<0.05)
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FineST: contrastive learning integrates histology and spatial transcriptomics for nuclei-resolved ligand-receptor analysis.
PMID 41839892 · PMC13201544 · Nature communications · 2026 · 8 claims · 6 setups
FineST, a bimodal contrastive learning model integrating histology (Virchow2 ViT features) and spatial gene expression, enables nuclei-resolved high-resolution RNA imputation.
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Sequencing DNA methylation and hydroxymethylation at co-occurring chromatin features.
PMID 41667493 · PMC13002996 · Nature communications · 2026 · 8 claims · 8 setups
6-base-CUT&Tag (6B-C&T) simultaneously maps G, A, T, C, 5mC, and 5hmC at antibody-targeted chromatin features on the same DNA fragment
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A spatially resolved human glioblastoma atlas reveals distinct cellular and molecular patterns of anatomical niches.
PMID 41714633 · PMC13031279 · Nature communications · 2026 · 8 claims · 6 setups
GBM exhibits distinct cellular and molecular patterns organized by anatomical niche, with malignant, vascular, and immune compartments showing region-specific spatial associations
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A generic reference defined by consensus peaks for single-cell ATAC-seq data analysis.
PMID 41663439 · PMC12996591 · Nature communications · 2026 · 7 claims · 7 setups
Aggregating peaks from 624 high-quality bulk ATAC-seq datasets defines ~1.4 million observed consensus peaks (cPeaks) covering ~30% of the genome.