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).

• Geometry-aware graph attention networks to explain single-cell chromatin states and gene expression with SEAGALL.

  PMID 42026624 · PMC13238118 · Genome biology · 2026 · 8 claims · 6 setups

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  SEAGALL combines a geometry-regularised autoencoder (GRAE) to embed cells and build a cell-cell graph with a graph attention network (GAT) classifier and GNNExplainer-based XAI to identify features driving cell type/phenotype.

  count same scchip-seq ten count latent classification

• Multimodal framework for the joint analysis of single-cell RNA and T cell receptor sequencing data predicts T cell response to cancer immunotherapy.

  PMID 41820396 · PMC13121706 · Nature communications · 2026 · 8 claims · 7 setups

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  TRIM, a conditional multi-modal variational autoencoder integrating paired scRNAseq and scTCRseq data, predicts T cell clonality and transcriptional states at unmeasured tissue sites/timepoints.

  hnscc colorectal pan-cancer tcr paired umap convolutional

• Transcriptome assembly, profiling and differential gene expression analysis of the halophyte Suaeda fruticosa provides insights into salt tolerance.

  PMID 25943316 · PMC4422317 · BMC genomics · 2015 · 7 claims · 6 setups

  Has reproduction · 73

  De novo assembly of the S. fruticosa transcriptome (Velvet/Oases k-45, CDHIT-EST) produced 54,526 high-quality unigenes with N50 of 957 bp

  suaeda rna-seq novo blastx

• scDenorm: a denormalization tool for integrating single-cell transcriptomics data.

  PMID 41915012 · PMC13142155 · GigaScience · 2026 · 8 claims · 7 setups

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  Inconsistent delta-method normalization across datasets introduces biases (e.g., B-cell separation) that persist even after integration with Harmony, scanorama, or BBKNN.

  10x brain ucsc datasets scrna-seq integration snrna-seq

• Genome-wide signatures of convergent evolution in echolocating mammals.

  PMID 24005325 · PMC3836225 · Nature · 2013 · 8 claims · 8 setups

  Has reproduction

  Genome-wide convergent sequence evolution between echolocating lineages is not rare but widespread and continuously distributed, with signatures consistent with convergence in nearly 200 loci out of 2,326 examined.

  four raw orthologous mammalian whole-genome novo homology-based

• Comparison of RNA-Seq by poly (A) capture, ribosomal RNA depletion, and DNA microarray for expression profiling.

  PMID 24888378 · PMC4070569 · BMC genomics · 2014 · 8 claims · 8 setups

  Has reproduction · 77

  Ribo-Zero-Seq removes rRNA with efficiency comparable to poly(A)-based mRNA-Seq in both FF and FFPE RNA, whereas DSN-Seq leaves significantly more rRNA and shows greater variation.

  fresh-frozen ffpe breast unc microarray mrna-seq ribo-zero-seq

• 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

• A novel deep learning-driven framework for improving lncRNA comprehensive annotation with LncADeep 2.0.

  PMID 41923359 · PMC13090826 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups

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  LncADeep 2.0 outperforms LncADeep and other existing tools for lncRNA identification on both GENCODE annotated transcripts and independent RNA-seq data

  lncrna hypertrophic gencode lncrna-protein-mirna mlp-based independent ablation

• Proteomics technologies and challenges.

  PMID 17893073 · PMC5054093 · Genomics, proteomics & bioinformatics · 2007 · 8 claims · 8 setups

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  The proteome reflects the dynamic state of a cell, tissue, or organism more accurately than the genome, so proteomics is expected to yield better disease markers for diagnosis and therapy monitoring.

  serum myeloid formalin-fixed general maldi-tof phage maldi

• Quantitative serum proteomics using dual stable isotope coding and nano LC-MS/MSMS.

  PMID 19817497 · PMC4684172 · Journal of proteome research · 2009 · 7 claims · 6 setups

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  DSIC labeling achieves high efficiency: 100% for Cysteine (acrylamide) and 98% for Lysine (succinic anhydride)

  standard dsic-labeled immunodepleted serum labeling quantitative in-solution