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).

• PeakPrime: a peak-guided primer design pipeline for target enrichment in 3'-end RNA-seq.

  PMID 41919010 · PMC13034549 · Bioinformatics advances · 2026 · 8 claims · 7 setups

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  PeakPrime is a reproducible Nextflow pipeline that calls 3′ RNA-seq coverage peaks (MACS2), selects exonic windows, designs strand-appropriate primers (Primer3), and screens specificity (Bowtie2)

  imr-32 universal candidate 10m-read rna-seq targeted quantitative

• Detection of alternative splicing: deep sequencing or deep learning?

  PMID 41520225 · PMC12790623 · Briefings in bioinformatics · 2026 · 8 claims · 8 setups

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  Sequence-based deep learning tools (AlphaGenome, SpliceAI, DeepSplice) show potential for initial hypothesis development and as additional filters in standard RNA-seq pipelines, especially when sequencing depth is limited.

  dilated dcm sequence subsampled bulk rna-seq deep

• Blood RNA signature RISK4LEP predicts leprosy years before clinical onset.

  PMID 34090257 · PMC8182229 · EBioMedicine · 2021 · 8 claims · 6 setups

  Has reproduction · 53

  1,613 genes were differentially expressed in leprosy progressors before diagnosis (t=1) compared to household contacts.

  blood rna-seq rt-qpcr differentially rna-seq rt-qpcr random

• sCellST predicts single-cell gene expression from H& E images.

  PMID 41513659 · PMC12858858 · Nature communications · 2026 · 7 claims · 6 setups

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  sCellST is a weakly supervised (Multiple Instance Learning) deep learning framework that predicts single-cell gene expression from H&E images alone, trained using paired spatial transcriptomics (Visium) and H&E slides

  ovarian kidney prostate breast simulation spot-level nucleus

• Application of Machine Learning in Predicting Hepatic Metastasis or Primary Site in Gastroenteropancreatic Neuroendocrine Tumors.

  PMID 37887568 · PMC10605255 · Current oncology (Toronto, Ont.) · 2023 · 8 claims · 7 setups

  Has reproduction · 59

  Multi-gene random forest models classify primary tumor vs. liver metastasis samples with 100% accuracy in training/test cohorts and >90% accuracy in an independent validation cohort

  pancreatic rna-seq liver tumor bulk machine multi-label

• Deep-Learning Tool ScVital Enables Species-Agnostic Integration of Cancer Cell States.

  PMID 41223329 · PMC13053053 · Cancer research · 2026 · 7 claims · 7 setups

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  scVital is a variational autoencoder with an adversarially trained discriminator that embeds scRNA-seq data from different species into a species-agnostic latent space to overcome batch effect.

  pbmc normal pancreatic lung scrna-seq

• The functional landscape of alternative splicing in hematopoietic lineage commitment.

  PMID 41593078 · PMC12946277 · Nature communications · 2026 · 7 claims · 8 setups

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  FAScore, a Random Forest model integrating 19 dynamic, structural, and conservation features, predicts functional exon-skipping AS events with high accuracy in a species- and lineage-specific manner.

  umbilical bone fetal zebrafish bulk machine exon

• Predicting FOX gene candidates for oxic nitrogen fixation using multi-omic machine learning and comparative bioinformatics.

  PMID 41764348 · PMC13056922 · Scientific reports · 2026 · 8 claims · 6 setups

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  Random Forest, XGBoost, and logistic regression classifiers can meaningfully differentiate literature-validated FOX genes from conserved non-essential genes, with Random Forest achieving the best ROC-AUC (~0.80)

  anabaena diazotrophic gene-level trained bulk quantitative transcription-start-site-derived

• Comparing the utility of in vivo transposon mutagenesis approaches in yeast species to infer gene essentiality.

  PMID 32681306 · PMC7599172 · Current genetics · 2020 · 7 claims · 7 setups

  Has reproduction · 81

  A machine-learning (Random Forest) approach trained on transposon insertion features can predict gene essentiality genome-wide in yeast species

  saccharomyces schizosaccharomyces candida computational transposon random

• Deconvolution of the hematopoietic stem cell microenvironment reveals a high degree of specialization and conservation.

  PMID 35494238 · PMC9046238 · iScience · 2022 · 7 claims · 7 setups

  Has reproduction · 60

  Integration of three scRNA-seq datasets using a custom bootstrapping-based clustering pipeline robustly identifies 14 endothelial subclusters and 11 mesenchymal (stage-specific) subclusters in mouse bone marrow.

  bone independent scrna-seq gene singler

• Molecular subtype of recurrent implantation failure reveals distinct endometrial etiology of female infertility.

  PMID 40660214 · PMC12257665 · Journal of translational medicine · 2025 · 8 claims · 8 setups

  Has reproduction · 68

  RIF endometrial samples segregate into two reproducible molecular subtypes: an immune-driven subtype (RIF-I) and a metabolic-driven subtype (RIF-M)

  endometrial in-house bulk rif-degs meta-analysis sequencing immune

• Integrative analysis of transcriptomic data reveals a predictive gene signature for chemoradiotherapy response in rectal cancer.

  PMID 41550766 · PMC12803930 · iScience · 2026 · 8 claims · 8 setups

  Has reproduction · 50

  A 186-gene signature predictive of nCRT response was derived from integrating six GEO transcriptomic datasets using machine learning.

  pre-treatment combined larc 186-gene differential machine molecular

• A mechanistic model captures the emergence and implications of non-genetic heterogeneity and reversible drug resistance in ER+ breast cancer cells.

  PMID 34316714 · PMC8271219 · NAR cancer · 2021 · 7 claims · 8 setups

  Has reproduction · 85

  EMT and tamoxifen-resistance (TamR) regulatory axes can drive one another, enabling non-genetic heterogeneity via six co-existing phenotypes (ES, ER, HS, HR, MS, MR)

  gene same randomized publicly racipe stochastic randomized

• Essential Genes of Vibrio anguillarum and Other Vibrio spp. Guide the Development of New Drugs and Vaccines.

  PMID 34745063 · PMC8564382 · Frontiers in microbiology · 2021 · 7 claims · 7 setups

  Has reproduction · 67

  Tn-seq using the TnSC189 mariner transposon identified 329 essential genes in V. anguillarum NB10Sm from a library of 52,662 insertion mutants.

  vibrio coli anguillarum transposon-insertion conjugative functional

• Transcription-coupled and epigenome-encoded mechanisms direct H3K4 methylation.

  PMID 35953471 · PMC9372134 · Nature communications · 2022 · 8 claims · 8 setups

  Has reproduction · 83

  ATX1, ATX2, and ATXR7 redundantly mediate H3K4 monomethylation genome-wide

  arabidopsis chip-seq western random

• Directing stem cell differentiation by chromatin state approximation.

  PMID 41734818 · PMC12956330 · Nucleic acids research · 2026 · 8 claims · 8 setups

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  Greedy selection of culture conditions by chromatin (ATAC-seq) distance to target is a viable optimisation strategy for differentiation protocols

  cd34+ cd34+-derived erythroid bone atac-seq flow rt-qpcr

• Uncertainty-aware genomic deep learning with knowledge distillation.

  PMID 41523993 · PMC12779563 · NPJ artificial intelligence · 2026 · 7 claims · 6 setups

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  DEGU distills an ensemble of teacher DNNs into a single student model by jointly predicting the ensemble mean and the variability (epistemic uncertainty) across ensemble predictions.

  drosophila k562 deepstarr starr-seq starr-seq-derived lentimpra base-resolution

• CeLLTra: aligning cell names with gene expression via a pathway-informed transformer.

  PMID 41652996 · PMC12881829 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 4 setups

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  Grouping genes into pathway-defined gene sets as Transformer input tokens (instead of using individual genes or discretized bins) mitigates the long-sequence problem and improves representation learning of scRNA-Seq gene expression profiles.

  tabula tumor-infiltrating scrna-seq

• Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data.

  PMID 41758825 · PMC12948085 · PloS one · 2026 · 8 claims · 6 setups

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  AI-based predictive models built on unannotated scRNA-seq data (cell-by-gene expression matrices) can classify melanoma patients as ICI responders vs. non-responders

  cd45+ scrna-seq independent scrna-seq single-gene-level pathway-level

• 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