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).

• Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics.

  PMID 31918046 · PMC6992905 · iScience · 2020 · 8 claims · 8 setups

  Has reproduction · 96

  Data-driven, high-dimensional ML approaches that learn multivariate signatures directly from genome-wide transcriptomic data (no prior gene selection) yield accurate and robust AML classifiers.

  peripheral pbmc datasets hg-u133 gene bulk machine

• EGASP: the human ENCODE Genome Annotation Assessment Project.

  PMID 16925836 · PMC1810551 · Genome biology · 2006 · 8 claims · 6 setups

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  Best-performing computational gene prediction methods correctly predict at least one transcript for close to 70% of annotated genes in the ENCODE regions.

  encode computational manual rt-pcr

• AUGUSTUS at EGASP: using EST, protein and genomic alignments for improved gene prediction in the human genome.

  PMID 16925833 · PMC1810548 · Genome biology · 2006 · 8 claims · 5 setups

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  AUGUSTUS predicted significantly more genes correctly than any other ab initio program in EGASP

  genome human-mouse genes initio comparative extrinsic

• Bayesian prediction of microbial oxygen requirement.

  PMID 26913185 · PMC4743139 · F1000Research · 2013 · 7 claims · 8 setups

  Has reproduction · 76

  A naive Bayesian classifier based on presence/absence of class-associated Pfam-A domains can distinguish three oxygen requirement classes (aerobe, anaerobe, facultative anaerobe) from genome sequence, unlike prior studies that only made pairwise distinctions.

  bacterial selected predicted pfam-a genome gene domain

• Non-EST-based prediction of novel alternatively spliced cassette exons with cell signaling function in Caenorhabditis elegans and human.

  PMID 17452356 · PMC1904267 · Nucleic acids research · 2007 · 8 claims · 7 setups

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  PASE (Prediction of Alternative Signaling Exons) is a computational algorithm combining Markov splice-site models, a Bayesian classifier, species conservation, and Scansite motif scoring to identify novel alternative cassette exons involved in cell signaling.

  elegans pooled pcr known semi-nested cloning initio

• Genome-wide prediction of DNase I hypersensitivity using gene expression.

  PMID 29051481 · PMC5715040 · Nature communications · 2017 · 6 claims · 3 setups

  Has reproduction · 79

  Gene expression substantially predicts genome-wide DNase I hypersensitivity (DH), demonstrating transcriptome-based prediction as a feasible approach for regulome mapping

  distinct encode dnase-seq exon computational

• SEMdag: Fast learning of Directed Acyclic Graphs via node or layer ordering.

  PMID 39775401 · PMC11709272 · PloS one · 2025 · 8 claims · 5 setups

  Has reproduction · 81

  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

  amyotrophic breast coronavirus st-elevation rna-seq comparative

• Optimized mixed Markov models for motif identification.

  PMID 16749929 · PMC1534070 · BMC bioinformatics · 2006 · 8 claims · 4 setups

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  OMiMa can incorporate more than NNSplice's pairwise dependencies

  simulated regulatory splice biological motif pairwise

• Prediction of prognostic signatures in triple-negative breast cancer based on the differential expression analysis via NanoString nCounter immune panel.

  PMID 33138797 · PMC7607642 · BMC cancer · 2020 · 8 claims · 7 setups

  Has reproduction · 72

  edgeR identifies 9 DEGs associated with pCR and 13 DEGs associated with relapse from 579 immune genes in a small TNBC sample set (n=55)

  ffpe same nanostring training nanostring immunohistochemistry differential

• miRGator: an integrated system for functional annotation of microRNAs.

  PMID 17942429 · PMC2238850 · Nucleic acids research · 2008 · 8 claims · 8 setups

  Full-text index only

  miRGator integrates target prediction, functional enrichment analysis (GO/pathway/disease), and expression data (miRNA/mRNA/protein) into one system for functional annotation of miRNAs

  genome predicted tissues organs computational functional mirna

• Reconstruction of human protein interolog network using evolutionary conserved network.

  PMID 17493278 · PMC1885812 · BMC bioinformatics · 2007 · 8 claims · 7 setups

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  A relative conservation score derived from maximal quasi-cliques in protein interaction networks, combined with other interaction features, can score and rank predicted human interologs for confidence.

  ppi sequences interaction predicted interolog orthology quasi-clique

• Patrocles: a database of polymorphic miRNA-mediated gene regulation in vertebrates.

  PMID 19906729 · PMC2808989 · Nucleic acids research · 2010 · 8 claims · 6 setups

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  Patrocles is a database compiling DSPs predicted to perturb miRNA-mediated gene regulation across seven vertebrate species, covering targets, miRNA precursors and silencing machinery.

  3'-utr mirbase hapmap comparative snp mirna

• Intrinsic structural disorder confers cellular viability on oncogenic fusion proteins.

  PMID 19888473 · PMC2768585 · PLoS computational biology · 2009 · 8 claims · 5 setups

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  Translocation-related human proteins are significantly enriched in intrinsic structural disorder compared to all human proteins

  translocation-related translocation cyclin-dependent intrinsic pfam randomized

• Comprehensive benchmarking of large language models for RNA secondary structure prediction.

  PMID 40205851 · PMC11982019 · Briefings in bioinformatics · 2025 · 7 claims · 4 setups

  Has reproduction · 88

  Existing RNA-LLMs had not previously been evaluated for secondary structure prediction in a unified, fair experimental setup with the same datasets and prediction model.

  archiveii bprna large-scale secondary cross-family self-supervised

• Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine.

  PMID 16381612 · PMC1360673 · BMC bioinformatics · 2005 · 7 claims · 7 setups

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  A 32-dimensional triplet structure-sequence feature vector combined with SVM (triplet-SVM) can distinguish real human pre-miRNAs from pseudo pre-miRNA hairpins with ~90% accuracy.

  pre-mirnas test conserved-hairpin cross-species secondary svm cross-species

• CRSD: a comprehensive web server for composite regulatory signature discovery.

  PMID 16845073 · PMC1538777 · Nucleic acids research · 2006 · 7 claims · 5 setups

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  CRSD is a comprehensive web server integrating six large-scale databases (UniGene, mature microRNAs, putative promoter, TRANSFAC, pathway, GO) plus two newly constructed genome-wide databases (MRS and TRS) for composite regulatory signature discovery

  gene 3'-utr promoter user-submitted genome-wide microrna binding

• Anopheles gambiae genome reannotation through synthesis of ab initio and comparative gene prediction algorithms.

  PMID 16569258 · PMC1557760 · Genome biology · 2006 · 8 claims · 7 setups

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  An exon-gene-union (EGU) algorithm followed by an open-reading-frame-selection algorithm can synthesize ab initio (GENSCAN, GeneMark, SNAP) and comparative (Ensembl/Genewise) predictions into a single, more complete CDS set

  anopheles gambiae reanocds05 initio full-length rt-pcr

• Automatic discovery of cross-family sequence features associated with protein function.

  PMID 16409628 · PMC1395344 · BMC bioinformatics · 2006 · 8 claims · 6 setups

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  A self-supervised data mining approach can find relationships between sequence features and functional annotations without preconceived functional categories.

  non-redundant same evolved eukaryotic self-supervised experiment self-organizing

• Ab initio identification of human microRNAs based on structure motifs.

  PMID 18088431 · PMC2238772 · BMC bioinformatics · 2007 · 8 claims · 7 setups

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  MiRPred predicts miRNA precursors ab initio using only predicted secondary structure motifs, ignoring nucleotide sequence

  genome mirna hairpins chromosome secondary linear five-fold

• 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

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  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

  real combined pre-mirna training random independent repeated