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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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
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
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Has reproduction · 81
SEMdag: Fast learning of Directed Acyclic Graphs via node or layer ordering.
PMID 39775401 · PMC11709272 · PloS one · 2025 · 8 claims · 5 setups
SEMdag() is a two-step order-based algorithm for fast learning of high-dimensional linear SEMs, using knowledge-based (KB) or data-driven bottom-up (BU) node/layer ordering followed by penalized (L1) DAG estimation
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Exploring phenotype-related single-cells through attention-enhanced representation learning.
PMID 41566378 · PMC12906058 · Genome medicine · 2026 · 6 claims · 5 setups
scPhase, an attention-based multiple instance learning (AMIL) framework with Mixture-of-Experts aggregation, predicts sample-level clinical phenotypes from raw scRNA-seq data and generalizes across patient cohorts
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Has reproduction · 89
miRge 2.0 for comprehensive analysis of microRNA sequencing data.
PMID 30153801 · PMC6112139 · BMC bioinformatics · 2018 · 8 claims · 6 setups
An SVM-based novel miRNA detection model achieves an average MCC of 0.939 across 32 human cell datasets and outperforms miRDeep2 and miRAnalyzer on phylogenetic conservation of predicted miRNAs
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ICE: robust detection of cellular senescence from weak single-cell signatures using imputation-based marker refinement.
PMID 41668152 · PMC12990438 · Genome biology · 2026 · 8 claims · 7 setups
Senescence-associated marker genes show weak, non-specific expression across human tissues and cell types compared to canonical tissue/cell-type markers
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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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Has reproduction · 85
Integration of multi-omics and machine learning strategies identifies immune related candidate biomarkers in inflammation-associated hypertrophic cardiomyopathy.
PMID 41080564 · PMC12510942 · Frontiers in immunology · 2025 · 8 claims · 8 setups
Seven key immune-related genes (RNF165, SNCA, SRGN, MARCO, STEAP4, SIGLEC9, TKT) are associated with HCM by intersecting DEGs with MR-identified eQTLs
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Has reproduction · 84
Elucidating the Prognostic and Therapeutic Implications of Insulin Resistance Genes in Breast Cancer: A Machine Learning-Powered Analysis.
PMID 40427728 · PMC12109394 · Biology · 2025 · 8 claims · 8 setups
A seven-gene IRG prognostic signature (LIFR, EZR, TBC1D4, NSF, RPL5, SAA1, PGK1) predicts overall survival in breast cancer across training and four validation cohorts
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Has reproduction · 52
Social complexity, life-history and lineage influence the molecular basis of castes in vespid wasps.
PMID 36828829 · PMC9958023 · Nature communications · 2023 · 8 claims · 7 setups
A shared genetic toolkit of caste-associated genes exists across vespid wasp species spanning different levels of social complexity
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Transcriptome-based high-frequency recurrence index predicts frequent recurrence in non-muscle-invasive bladder cancer after Bacillus Calmette-Guérin therapy.
PMID 41749284 · PMC13040970 · BMC medicine · 2026 · 8 claims · 7 setups
A 75-gene HfRI signature predicts high-frequency recurrence (≥2 recurrences) in NMIBC patients
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Has reproduction · 96
Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics.
PMID 31918046 · PMC6992905 · iScience · 2020 · 8 claims · 8 setups
Assembled the largest reference blood gene expression profiling (GEP) dataset for AML to date: 12,029 samples from 105 studies across three platforms.
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Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage.
PMID 41779826 · PMC12959883 · eLife · 2026 · 8 claims · 5 setups
DeepTX is an interpretable, scalable deep learning inference framework that links mechanistic transcription models to scRNA-seq data to infer genome-wide transcriptional burst kinetics
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In silico segmentations of lentivirus envelope sequences.
PMID 17376229 · PMC1847453 · BMC bioinformatics · 2007 · 8 claims · 8 setups
C and V regions of lentivirus SU sequences have distinct statistical (oligonucleotide/amino-acid) compositions that HMMs can learn and use to delimit them.
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Systematic annotation of orphan RNAs reveals blood-accessible molecular barcodes of cancer identity and cancer-emergent oncogenic drivers.
PMID 41579861 · PMC12923976 · Cell reports. Medicine · 2026 · 8 claims · 8 setups
oncRNA binary presence-absence patterns constitute digital molecular barcodes that capture cancer type and subtype identity