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).

• Exploration of the omics evidence landscape: adding qualitative labels to predicted protein-protein interactions.

  PMID 17880677 · PMC2375035 · Genome biology · 2007 · 7 claims · 8 setups

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  Combining pairs of omics evidence types into two-dimensional 'evidence landscapes' allows regions to be identified that specifically and purely predict either physical or metabolic protein interactions

  saccharomyces correlated chip-chip gene

• Systematic prediction of human membrane receptor interactions.

  PMID 19798668 · PMC3076061 · Proteomics · 2009 · 7 claims · 6 setups

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  Predicting interactions specifically for membrane receptors, rather than deriving them from a general human interactome model, improves prediction performance for these proteins

  cos-1 um-22a hep3b gst-egfr co-immunoprecipitation pulldown binding

• BiRNA-BERT allows efficient RNA language modeling with adaptive tokenization.

  PMID 41266599 · PMC12635123 · Communications biology · 2025 · 8 claims · 8 setups

  Has reproduction · 50

  BiRNA-BERT uses adaptive dual-tokenization that dynamically selects nucleotide-level (NUC) or byte-pair encoding (BPE) tokens based on input sequence length

  rfam plant lncrna-mirna sequences unsupervised mirna-lncrna length-binned

• Inferring a spatial code of cell-cell interactions across a whole animal body.

  PMID 36395331 · PMC9714814 · PLoS computational biology · 2022 · 8 claims · 6 setups

  Has reproduction · 90

  cell2cell computes cell-cell interaction (CCI) potential using a novel modified Bray-Curtis score based on complementary coexpression of ligand-receptor pairs between cells

  elegans computational single-cell random genetic

• Predicting deleterious nsSNPs: an analysis of sequence and structural attributes.

  PMID 16630345 · PMC1489951 · BMC bioinformatics · 2006 · 8 claims · 7 setups

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  Sequence conservation (PSIC score difference) at the nsSNP position is the single most useful attribute for predicting deleterious vs neutral status.

  swissprot nssnp-containing nssnps machine single-attribute sequence

• The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists.

  PMID 17784955 · PMC2375021 · Genome biology · 2007 · 8 claims · 6 setups

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  Gene-gene functional similarity can be measured using kappa statistics applied to a binary gene-annotation-term matrix built from 14 annotation categories.

  genome protein-protein genes artificial kappa clustering gene

• Identification of candidate disease genes by integrating Gene Ontologies and protein-interaction networks: case study of primary immunodeficiencies.

  PMID 19073697 · PMC2632920 · Nucleic acids research · 2009 · 8 claims · 5 setups

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  Combining high protein-interaction network scores with significant PID-related GO terms identifies novel PID candidate genes

  immunome known protein-interaction gene comparative

• Prioritization of candidate cancer genes--an aid to oncogenomic studies.

  PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups

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  Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes

  genes cancer interpro interactome averaged cross-validation domain

• Deducing topology of protein-protein interaction networks from experimentally measured sub-networks.

  PMID 18598366 · PMC2474618 · BMC bioinformatics · 2008 · 7 claims · 6 setups

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  Experimentally measured protein-protein interaction sub-networks are not random samples of their parent networks.

  yeast drosophila networks dppi reanalysis computer repeated

• Human synthetic lethal inference as potential anti-cancer target gene detection.

  PMID 20015360 · PMC2804737 · BMC systems biology · 2009 · 7 claims · 8 setups

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  Targeting the synthetic lethal partner of a gene mutated in cancer selectively damages tumor cells while sparing healthy cells, offering a rationale for anti-cancer drug design

  saccharomyces sapiens ihsln genes database phylogenetic gene

• Disease-aging network reveals significant roles of aging genes in connecting genetic diseases.

  PMID 19779549 · PMC2739292 · PLoS computational biology · 2009 · 8 claims · 8 setups

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  Human disease genes are much closer to aging genes in the PPI network than expected by chance

  protein-protein randomized dan aging network degree-conserved closeness

• Consolidating the set of known human protein-protein interactions in preparation for large-scale mapping of the human interactome.

  PMID 15892868 · PMC1175952 · Genome biology · 2005 · 8 claims · 6 setups

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  Two quantitative benchmarks (functional-annotation-based and physical-interaction-based log likelihood ratio scores) can measure relative accuracy of human PPI datasets

  medline annotated interactions consolidated conditional co-citation bayesian

• Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models.

  PMID 34858485 · PMC8631472 · Frontiers in genetics · 2021 · 7 claims · 5 setups

  Has reproduction · 62

  A DNN model using the top 34 betweenness-centrality-ranked hub genes predicts bone metastasis with AUC of 92.11% on the GEO validation data.

  breast degs geo tcga gene protein-protein machine

• Deep learning based protocol to construct an immune-related gene network of host-pathogen interactions in plants.

  PMID 36525344 · PMC9791427 · STAR protocols · 2023 · 6 claims · 6 setups

  Has reproduction · 96

  A deep-learning protocol (DLNet) ranks genes by their contribution to classifying treatment versus control expression data, identifying genes involved in host defense against pathogens.

  oryza rice merged top-ranked affymetrix microarray batch

• The Universal Protein Resource (UniProt) in 2010.

  PMID 19843607 · PMC2808944 · Nucleic acids research · 2010 · 8 claims · 5 setups

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  UniProt is a centralized, freely accessible, comprehensive knowledgebase of protein sequence and functional annotation maintained by the EBI, SIB and PIR consortium.

  uniprotkb oceanic proteome manual automated sequence

• Refining breast cancer biomarker discovery and drug targeting through an advanced data-driven approach.

  PMID 38253993 · PMC10810249 · BMC bioinformatics · 2024 · 8 claims · 8 setups

  Has reproduction · 59

  The BGWO_SA_Ens algorithm (hybrid BGWO + simulated annealing with an ensemble classifier objective function) selects predictive breast cancer biomarker genes with high classification performance

  merged gse45827 superior differential feature comparative

• Towards the identification of essential genes using targeted genome sequencing and comparative analysis.

  PMID 17052348 · PMC1624830 · BMC genomics · 2006 · 8 claims · 8 setups

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  Phyletic retention (ortholog presence across organisms) is the single most predictive feature of gene essentiality in both E. coli and S. cerevisiae.

  coli cerevisiae comparative machine single-gene

• Integrated proteomic and transcriptomic profiling of mouse lung development and Nmyc target genes.

  PMID 17486137 · PMC2673710 · Molecular systems biology · 2007 · 8 claims · 7 setups

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  Global MudPIT-based proteomic profiling across six mouse lung developmental time points (E13.5–P56) identifies thousands of proteins and captures developmental/cell-biological expression patterns.

  lung analysis embryonic homologues shotgun microarray k-nearest

• Network of Cancer Genes: a web resource to analyze duplicability, orthology and network properties of cancer genes.

  PMID 19906700 · PMC2808873 · Nucleic acids research · 2010 · 7 claims · 4 setups

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  NCG is a web database integrating duplicability, orthology, evolutionary appearance, and network topology data for 736 human cancer genes

  cancer proteome pten genome orthology protein-protein

• Toward stem cell systems biology: from molecules to networks and landscapes.

  PMID 19329576 · PMC2738746 · Cold Spring Harbor symposia on quantitative biology · 2008 · 7 claims · 6 setups

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  Stem-cell-fate specification is an extremely complex process regulated by multiple mutually interacting molecular mechanisms with numerous regulatory feedback loops.

  stem embryonic promyelocytic genome-wide serial chip-chip