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).

• pyrpipe: a Python package for RNA-Seq workflows.

  PMID 34085037 · PMC8168212 · NAR genomics and bioinformatics · 2021 · 8 claims · 3 setups

  Has reproduction · 79

  pyrpipe enables development of flexible, reproducible, and easy-to-debug RNA-Seq computational pipelines purely in Python, in an object-oriented manner

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• Cell type-specific eQTL analysis of COVID-19 based on single-cell transcriptomic data.

  PMID 41064594 · PMC12501775 · NAR genomics and bioinformatics · 2025 · 8 claims · 8 setups

  Has reproduction · 51

  Single-cell eQTL analysis across eight immune cell types identified 2593 genes whose expression is significantly associated with common genetic polymorphisms, with most genes showing cell type-specific effects

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• Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases.

  PMID 34601390 · PMC8483812 · Computers in biology and medicine · 2021 · 8 claims · 8 setups

  Has reproduction · 69

  COVID-19 and neurological diseases (NDs) share pathophysiological connections that influence disease progression and severity

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• Severe COVID-19 Shares a Common Neutrophil Activation Signature with Other Acute Inflammatory States.

  PMID 35269470 · PMC8909161 · Cells · 2022 · 8 claims · 7 setups

  Has reproduction · 88

  COVID-19 and HLH share a transcriptional overlap of 239 unique common differentially expressed genes (DEGs), 237 of which are up-regulated

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• Identifying COVID-19-Specific Transcriptomic Biomarkers with Machine Learning Methods.

  PMID 34307679 · PMC8272456 · BioMed research international · 2021 · 7 claims · 2 setups

  Has reproduction · 32

  A pipeline combining Boruta and mRMR feature selection with incremental feature selection (IFS) was used to identify COVID-19-specific transcriptomic biomarkers from blood gene expression data.

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• Dynamic Gene Attention Focus (DyGAF): Enhancing Biomarker Identification Through Dual-Model Attention Networks.

  PMID 40160891 · PMC11951896 · Bioinformatics and biology insights · 2025 · 6 claims · 5 setups

  Has reproduction · 44

  DyGAF, a dual-model attention neural network (independent Model A + dependent Model B), identifies and ranks genes by significance for COVID-19 biomarker discovery more effectively than differential expression analysis (DEA) and random forest (RF) feature selection

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• 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

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• A single-cell compendium of human cerebrospinal fluid identifies disease-associated immune cell populations.

  PMID 39744938 · PMC11684814 · The Journal of clinical investigation · 2025 · 8 claims · 4 setups

  Has reproduction · 78

  Integration of public and newly generated scRNA-seq datasets yields a compendium of 139 subjects (193 samples, 403,973 immune cells) spanning CSF and blood across healthy controls and multiple neurologic diseases.

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• Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients.

  PMID 35012625 · PMC8743438 · Genome biology · 2022 · 8 claims · 9 setups

  Has reproduction · 68

  GENEVA (Gene Expression Variance Analysis) is a semi-automated framework that mines large-scale public RNA-seq datasets to identify conditions associated with a gene's expression variance

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• Single-cell dissection of chronic lung allograft dysfunction reveals convergent and distinct fibrotic mechanisms.

  PMID 41122970 · PMC12581678 · JCI insight · 2025 · 8 claims · 8 setups

  Has reproduction · 75

  CLAD exhibits specific cellular subsets including Fibro.AT2 cells, exhausted CD8+ T cells, and superactivated macrophages

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• Mouse-Geneformer: A deep learning model for mouse single-cell transcriptome and its cross-species utility.

  PMID 40106407 · PMC11964219 · PLoS genetics · 2025 · 7 claims · 6 setups

  Has reproduction · 95

  Mouse-Geneformer, a Transformer Encoder model pre-trained via masked-token self-supervised learning on mouse-Genecorpus-20M, was successfully constructed following the original human Geneformer architecture.

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• Hierarchical cell-type identifier accurately distinguishes immune-cell subtypes enabling precise profiling of tissue microenvironment with single-cell RNA-sequencing.

  PMID 36681937 · PMC10025442 · Briefings in bioinformatics · 2023 · 8 claims · 8 setups

  Has reproduction · 94

  HiCAT is a hierarchical, marker-based cell-type identifier that uses gene set analysis (GSA) scoring with markers structured in a three-level taxonomy tree (major-type, minor-type, subset)

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• Cell-type annotation with accurate unseen cell-type identification using multiple references.

  PMID 37379341 · PMC10335708 · PLoS computational biology · 2023 · 8 claims · 4 setups

  Has reproduction · 68

  mtANN integrates multiple reference datasets and eight gene selection methods via ensemble learning (multiple deep classification models + majority voting) to improve cell-type annotation accuracy

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