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).

• Dynamic Gene Attention Focus (DyGAF): Enhancing Biomarker Identification Through Dual-Model Attention Networks.

  PMID 40160891 · PMC11951896 · Bioinformatics and biology insights · 2025 · 6 claims · 5 setups

  Has reproduction · 44

  DyGAF, a dual-model attention neural network (independent Model A + dependent Model B), identifies and ranks genes by significance for COVID-19 biomarker discovery more effectively than differential expression analysis (DEA) and random forest (RF) feature selection

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• Integrative transcriptomics and single-cell transcriptomics analyses reveal potential biomarkers and mechanisms of action in papillary thyroid carcinoma.

  PMID 40520228 · PMC12162626 · Frontiers in genetics · 2025 · 8 claims · 8 setups

  Has reproduction · 49

  ENTPD1, SERPINA1, and TACSTD2 are potential transcriptomic biomarkers for PTC

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• Integration of Transcriptomics With Interpretable Artificial Intelligence for Identifying Molecular Signatures of Physiological Stress in Sleep Deprivation.

  PMID 42216239 · PMC13240488 · Journal of cellular and molecular medicine · 2026 · 8 claims · 7 setups

  Has reproduction · 49

  S100A3 shows consistent discriminatory performance across the training cohort, an independent sleep deprivation cohort, and a chronic insomnia cohort

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• Integrative Transcriptomic and Evolutionary Analysis of Drought and Heat Stress Responses in Solanum tuberosum and Solanum lycopersicum.

  PMID 41470732 · PMC12736803 · Plants (Basel, Switzerland) · 2025 · 7 claims · 8 setups

  Has reproduction · 84

  Drought and heat stress induce coordinated transcriptional reprogramming in potato and tomato: induction of molecular chaperone activity, oxidative stress responses, and immune signaling, with repression of photosynthetic and primary metabolic pathways reflecting energy reallocation.

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• Enabling Single-Cell Drug Response Annotations from Bulk RNA-Seq Using SCAD.

  PMID 36762572 · PMC10104628 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023 · 7 claims · 7 setups

  Has reproduction · 81

  SCAD, a transfer learning framework integrating adversarial discriminative domain adaptation (ADDA), can infer single-cell drug sensitivities by transferring knowledge from bulk RNA-seq pharmacogenomic data (GDSC) to scRNA-seq target domains

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• Machine learning algorithm predicts fibrosis-related blood diagnosis markers of intervertebral disc degeneration.

  PMID 37915003 · PMC10619283 · BMC medical genomics · 2023 · 8 claims · 7 setups

  Has reproduction · 68

  CEP120 and SPDL1 were identified as diagnostic genes for IDD using a random forest model

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• Comparison between short-term stress and long-term adaptive responses reveal common paths to molecular adaptation.

  PMID 35243257 · PMC8873613 · iScience · 2022 · 8 claims · 7 setups

  Has reproduction · 59

  Short-term stress and long-term adaptations share common metabolic pathways

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• 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

  Has reproduction · 52

  A shared genetic toolkit of caste-associated genes exists across vespid wasp species spanning different levels of social complexity

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• Machine Learning-Based Integrated Analysis of PANoptosis Patterns in Acute Myeloid Leukemia Reveals a Signature Predicting Survival and Immunotherapy.

  PMID 38322112 · PMC10846924 · International journal of clinical practice · 2024 · 8 claims · 8 setups

  Has reproduction · 71

  AML cases can be categorized into two distinct PANRG (PANoptosis-related gene) clusters with differentially expressed prognostic genes (PRDEGs)

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• 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

  Has reproduction · 32

  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)

  tcga geo rna-seq methylation sequencing

• Dynamic reversal of random X-Chromosome inactivation during iPSC reprogramming.

  PMID 31515287 · PMC6771397 · Genome research · 2019 · 7 claims · 6 setups

  Has reproduction · 75

  XCR during iPSC reprogramming is hierarchical, with distinct subsets of X-linked genes reactivating early, intermediate, late, and very late

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• Deep transcriptomics reveals cell-specific isoforms of pan-neuronal genes.

  PMID 40379625 · PMC12084633 · Nature communications · 2025 · 8 claims · 5 setups

  Has reproduction · 84

  Pan-neuronal genes (expressed in many/all neurons) harbor highly cell-specific splice variants/isoforms restricted to single or few neuron types.

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• Predicting favorable landing pads for targeted integrations in Chinese hamster ovary cell lines by learning stability characteristics from random transgene integrations.

  PMID 33304461 · PMC7710658 · Computational and structural biotechnology journal · 2020 · 7 claims · 6 setups

  Has reproduction

  Expression stability in CHO cell lines is controlled at three levels: choice of integration site, integrity/concatemerization pattern of the transgene, and stress-related cellular processes.

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• Identification and recovery of minor HIV-1 variants using the heteroduplex tracking assay and biotinylated probes.

  PMID 18948297 · PMC2602764 · Nucleic acids research · 2008 · 6 claims · 8 setups

  Full-text index only

  Incorporating a biotin tag into the HTA probe enables purification of labeled heteroduplexes and direct sequencing of the separated query strand, allowing recovery of minor variant sequences

  hiv-1 biotin-hta-purified original recovered heteroduplex rt-pcr sanger

• Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important Features.

  PMID 37509188 · PMC10377046 · Biomolecules · 2023 · 8 claims · 6 setups

  Has reproduction · 89

  GRF identifies effective features that form highly connected sub-graphs on the underlying biological network

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• Integrative transcriptomic and machine learning framework reveals candidate genes and potential mechanisms of aflatoxin B1 exposure in breast cancer.

  PMID 41688730 · PMC12982753 · Scientific reports · 2026 · 7 claims · 8 setups

  Has reproduction · 83

  170 unique human AFB1 targets were identified by merging ChEMBL, SwissTargetPrediction, and PharmMapper predictions

  afb1 breast training candidate computational bulk weighted