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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Systems biology and the host response to viral infection.
PMID 18066032 · PMC7097743 · Nature biotechnology · 2007 · 8 claims · 8 setups
Systems biology integration of 'omics data (transcriptomics, proteomics, genomics) with computational modeling is needed to fully understand virus-host interactions and identify novel antiviral targets
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Has reproduction · 78
Evaluating Distribution and Prognostic Value of New Tumor-Infiltrating Lymphocytes in HCC Based on a scRNA-Seq Study With CIBERSORTx.
PMID 33043022 · PMC7527443 · Frontiers in medicine · 2020 · 6 claims · 8 setups
CIBERSORTx can combine scRNA-seq-derived signature matrices with bulk RNA-seq data to estimate proportions of 11 TIL subsets in HCC tumor and normal tissue
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Has reproduction · 87
Analysis of Tumor-Infiltrating T-Cell Transcriptomes Reveal a Unique Genetic Signature across Different Types of Cancer.
PMID 36232369 · PMC9569723 · International journal of molecular sciences · 2022 · 8 claims · 8 setups
Common genes shared across five cancer types differ from those found in nonmalignant tissue-resident T-cells for each subset (CD4-T, CD8-T, Treg)
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HIV-1 sequence evolution in vivo after superinfection with three viral strains.
PMID 17716368 · PMC2020475 · Retrovirology · 2007 · 8 claims · 8 setups
gag and env-V3 nucleotide evolution follows a similar pattern in all three strains: low substitution rate in the first 2-3 years of infection, then an increase driven mainly by synonymous substitutions
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Has reproduction · 45
Single-Cell Analysis Reveals Characterization of Infiltrating T Cells in Moderately Differentiated Colorectal Cancer.
PMID 33584715 · PMC7873865 · Frontiers in immunology · 2020 · 8 claims · 8 setups
Eight distinct T cell populations can be identified from CRC tumor tissue by unsupervised clustering of scRNA-seq data
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Has reproduction · 44
Weighted gene co-expression network analysis reveals that CXCL10, IRF7, MX1, RSAD2, and STAT1 are related to the chronic stage of spinal cord injury.
PMID 34532385 · PMC8421925 · Annals of translational medicine · 2021 · 8 claims · 7 setups
The brown co-expression module (775 genes) is the module most significantly associated with the chronic stage of SCI
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Has reproduction · 67
Reverse Engineering of the Pediatric Sepsis Regulatory Network and Identification of Master Regulators.
PMID 34680414 · PMC8533457 · Biomedicines · 2021 · 7 claims · 8 setups
A set of 15 TFs was identified as sepsis-specific master regulators of pediatric sepsis, dividing into two non-overlapping clusters.
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Lactate metabolism-related interaction perturbation network enables robust stratification of hepatocellular carcinoma.
PMID 41689750 · PMC13009326 · Discover oncology · 2026 · 8 claims · 8 setups
An LM-related gene interaction perturbation network can stratify HCC into four robust molecular subtypes (Cluster1-4)
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AmalgaMo: flexible DNA motif merging.
PMID 41768281 · PMC12947577 · Bioinformatics advances · 2026 · 7 claims · 7 setups
AmalgaMo is a flexible command-line tool for merging highly similar DNA/RNA motifs, using five tunable parameters (t, m, r, s, a), accepting HOCOMOCO/JASPAR/MEME/CisBP formats.
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Has reproduction · 67
Comprehensive Analysis of Cell Population Dynamics and Related Core Genes During Vitiligo Development.
PMID 33679890 · PMC7933673 · Frontiers in genetics · 2021 · 8 claims · 7 setups
Immune cell infiltration and abnormal gene expression are closely related to vitiligo pathogenesis
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FLASH-MM: fast and scalable single-cell differential expression analysis using linear mixed-effects models.
PMID 41644528 · PMC12982622 · Nature communications · 2026 · 8 claims · 6 setups
FLASH-MM produces LMM parameter estimates identical to lmer (lme4) up to the sixth decimal place while being 50- to 140-fold faster as sample size increases from 20,000 to 120,000 cells