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).

• Revealing the critical state and identifying individualized dynamic network biomarker for type 2 diabetes through advanced analysis methods on individual basis.

  PMID 39890881 · PMC11785715 · Scientific reports · 2025 · 8 claims · 5 setups

  Has reproduction · 75

  sJSD, NIG, and TNFE methods can detect critical states/tipping points before disease deterioration using only a single sample

  simulated adipose gastrocnemius dnb numerical microarray protein-protein

• DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data.

  PMID 38950178 · PMC11236288 · Bioinformatics (Oxford, England) · 2024 · 8 claims · 2 setups

  Has reproduction · 40

  DeepGSEA is an explainable deep gene set enrichment analysis method built on interpretable, prototype-based neural networks.

  simulated real-world simulation scrna-seq-based

• Information-theoretic identification of predictive SNPs and supervised visualization of genome-wide association studies.

  PMID 16899448 · PMC1557808 · Nucleic acids research · 2006 · 7 claims · 4 setups

  Full-text index only

  3D VizStruct (DFT-based radial mapping + KLD as z-axis) can identify SNPs/polymorphic markers that are predictive of underlying biological class distinctions across diverse datasets

  lpl y-chromosome coral simulated snp aflp numerical

• ScLRTC: imputation for single-cell RNA-seq data via low-rank tensor completion.

  PMID 34844559 · PMC8628418 · BMC genomics · 2021 · 8 claims · 8 setups

  Has reproduction · 85

  scLRTC imputes dropout entries closest to the original expression values on simulated datasets, outperforming other state-of-the-art methods by SSE and PCC.

  usoskin pollen zeisel yan scrna-seq umap masking

• Comparing time series transcriptome data between plants using a network module finding algorithm.

  PMID 31164912 · PMC6544932 · Plant methods · 2019 · 8 claims · 6 setups

  Has reproduction · 59

  Converting time-series expression data into co-expression networks and applying network module finding (OrthoClust) enables cross-species comparison without requiring one-to-one developmental stage mapping.

  soybean arabidopsis combined module reciprocal time-series cross-species

• spotter: a single-nucleotide resolution stochastic simulation model of supercoiling-mediated transcription and translation in prokaryotes.

  PMID 37602419 · PMC10516669 · Nucleic acids research · 2023 · 8 claims · 4 setups

  Has reproduction · 77

  spotter is the first simulation model to integrate transcription, DNA supercoiling, and translation simultaneously in a single stochastic framework for prokaryotes.

  coli simulated net-seq ribosome stochastic

• Statistical challenges in preprocessing in microarray experiments in cancer.

  PMID 18829474 · PMC3529914 · Clinical cancer research : an official journal of the American Association for Cancer Research · 2008 · 8 claims · 7 setups

  Full-text index only

  Choice of pre-processing method materially changes which features are found significantly associated with survival in the Beer et al. lung cancer microarray dataset

  lung beer individual outlier expression rank-covariance quality-control

• Processing and population genetic analysis of multigenic datasets with ProSeq3 software.

  PMID 19797407 · PMC2778335 · Bioinformatics (Oxford, England) · 2009 · 8 claims · 7 setups

  Full-text index only

  ProSeq3 is a program with a graphic user interface that simplifies preparation and basic population genetic analysis of multigenic DNA polymorphism datasets

  software authors sequence polymorphism phylogenetic