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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Discordance of species trees with their most likely gene trees.
PMID 16733550 · PMC1464820 · PLoS genetics · 2006 · 7 claims · 2 setups
For any species tree topology with n ≥ 5 taxa, there exist branch lengths for which the most likely gene tree topology (an 'anomalous gene tree') differs from the species tree topology.
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Has reproduction
Online Learning for Wearable EEG-Based Emotion Classification.
PMID 36904590 · PMC10007607 · Sensors (Basel, Switzerland) · 2023 · 6 claims · 4 setups
A lightweight online-learning pipeline can classify a person's affective state (Valence, Arousal) from an incoming EEG data stream in real-time, efficient enough for applications such as seizure prediction.
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Has reproduction
Artificial Intelligence Approach in Machine Learning-Based Modeling and Networking of the Coronavirus Pathogenesis Pathway.
PMID 40699865 · PMC12191508 · Current issues in molecular biology · 2025 · 8 claims · 8 setups
The coronavirus pathogenesis pathway is activated in SARS-CoV-2-infected iPSC-derived cardiac cells and in SARS-CoV/SARS-CoV-2-infected LUAD cells
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Wiggle-predicting functionally flexible regions from primary sequence.
PMID 16839194 · PMC1500818 · PLoS computational biology · 2006 · 7 claims · 6 setups
A GNM-derived, correlation-weighted 'FF score' can objectively define functionally flexible regions (FFRs) that match experimentally confirmed flexible/functional regions (hinges, recognition loops, catalytic loops).
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Has reproduction · 100
Topological approximate Bayesian computation for parameter inference of an angiogenesis model.
PMID 35191485 · PMC9048691 · Bioinformatics (Oxford, England) · 2022 · 7 claims · 3 setups
TDA summary statistics can be combined with ABC to infer parameters (ρ, χ) of the Anderson–Chaplain angiogenesis model
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Has reproduction · 50
BiRNA-BERT allows efficient RNA language modeling with adaptive tokenization.
PMID 41266599 · PMC12635123 · Communications biology · 2025 · 8 claims · 8 setups
BiRNA-BERT uses adaptive dual-tokenization that dynamically selects nucleotide-level (NUC) or byte-pair encoding (BPE) tokens based on input sequence length
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Has reproduction · 78
GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning.
PMID 34461978 · PMC8407037 · Genome medicine · 2021 · 8 claims · 6 setups
GenTB is a free, open, web-based application offering two ML predictors (Random Forest and WDNN) that predict resistance to 13 and 10 anti-TB drugs, respectively.
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Filtering high-throughput protein-protein interaction data using a combination of genomic features.
PMID 15833142 · PMC1127019 · BMC bioinformatics · 2005 · 8 claims · 8 setups
A combination of three genomic features (interacting Pfam domains, GO annotations, sequence homology) using naive Bayesian networks predicts true protein-protein interactions with high sensitivity and good specificity.
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The genomic analysis of lactic acidosis and acidosis response in human cancers.
PMID 19057672 · PMC2585811 · PLoS genetics · 2008 · 8 claims · 8 setups
Lactic acidosis and hypoxia induce largely distinct gene expression programs in HMECs, with lactic acidosis producing a much larger and more dramatic response
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Protocol for quantifying interaction patterns among genomic alterations in cancer.
PMID 41686643 · PMC12915222 · STAR protocols · 2026 · 6 claims · 5 setups
Background-aware permutation strategies that constrain permutation per gene and per sample enable robust, scalable inference of condition-specific (context-aware) genetic interactions across cancer cohorts
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Calibrating the performance of SNP arrays for whole-genome association studies.
PMID 18584036 · PMC2432039 · PLoS genetics · 2008 · 8 claims · 7 setups
Previous SNP array genetic coverage estimates are inflated due to SNP overfitting and sample overfitting, since they were evaluated on the same HapMap SNPs/individuals used to design the arrays.