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).

• Multi-cohort and single-cell profiling of aging genes reveals prognostic and therapeutic targets in breast cancer.

  PMID 41732271 · PMC12924738 · iScience · 2026 · 8 claims · 7 setups

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  The eight-gene MLAG signature outperforms 100 previously published prognostic models across 12 independent breast cancer cohorts

  tcga-brca senescent normal single-cell machine univariate gene

• Comparative analysis of molecular signatures reveals a hybrid approach in breast cancer: Combining the Nottingham Prognostic Index with gene expressions into a hybrid signature.

  PMID 35143511 · PMC8830616 · PloS one · 2022 · 8 claims · 6 setups

  Has reproduction · 48

  A Hybrid signature combining the NPI with 14 SIS-selected genes was constructed from METABRIC training data

  metabric gse96058 test gene sure cox

• miRge 2.0 for comprehensive analysis of microRNA sequencing data.

  PMID 30153801 · PMC6112139 · BMC bioinformatics · 2018 · 8 claims · 6 setups

  Has reproduction · 89

  An SVM-based novel miRNA detection model achieves an average MCC of 0.939 across 32 human cell datasets and outperforms miRDeep2 and miRAnalyzer on phylogenetic conservation of predicted miRNAs

  unmapped pooled colon adipose small novel a-to-i

• Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions.

  PMID 41952176 · PMC13188385 · Genome medicine · 2026 · 8 claims · 8 setups

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  A multimodal transformer combining WSIs and gene expression outperforms models trained on either modality alone for classifying bronchial dysplasia or worse vs non-dysplasia.

  endobronchial bronchial colorado jules slide bulk microarray

• Qualitative Transcriptional Signature for the Pathological Diagnosis of Pancreatic Cancer.

  PMID 33173782 · PMC7538791 · Frontiers in molecular biosciences · 2020 · 8 claims · 7 setups

  Has reproduction · 71

  A 12-gene-pair (17-gene) REO-based signature discriminates PC and cancer-adjacent normal tissue from non-tumor (healthy/pancreatitis) pancreatic tissue.

  pancreatic normal pooled microarray rna-sequencing roc

• DeCAF defines clinical fibroblast subtypes and multidimensional tumor-stroma crosstalk shaping prognosis and immunotherapy response.

  PMID 41707654 · PMC12923980 · Cell reports. Medicine · 2026 · 8 claims · 8 setups

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  DeCAF is a single-sample kTSP classifier using 9 TSP gene pairs that predicts proCAF vs restCAF subtypes from bulk expression data

  pdac cptac external elyada-sc bulk single-sample classifier

• Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models.

  PMID 34858485 · PMC8631472 · Frontiers in genetics · 2021 · 8 claims · 5 setups

  Has reproduction · 62

  A DNN model built on 34 top-ranked hub genes achieves the highest prediction accuracy (AUC 92.11%) for distinguishing primary from bone-metastasized tumors

  breast degs geo tcga microarray protein-protein machine

• Uncovering Cas9 PAM diversity through metagenomic mining and machine learning.

  PMID 41656299 · PMC12996302 · Nature communications · 2026 · 8 claims · 6 setups

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  CRISPR-PAMdb is a publicly accessible database compiling Cas9 protein sequences from 3.8 million bacterial/archaeal genomes and PAM profiles from 7.4 million phage/plasmid sequences

  bacterial phage cas9 experimentally hmm-based spacer-protospacer machine

• LIMPACAT: Multi-omics attention transformer for immune prediction in liver cancer using whole-slide imaging.

  PMID 41511965 · PMC12788640 · PloS one · 2026 · 8 claims · 6 setups

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  LIMPACAT, a multiple instance learning attention transformer, predicts immune cell levels relevant to HCC prognosis directly from whole-slide images

  hcc simulated pbmc tcga-lihc scrna-seq type deconvolution

• Multi-omics analyses related to unfolded protein response in prostate cancer implicate pro-tumor role of IFRD1.

  PMID 41694360 · PMC12894258 · Frontiers in immunology · 2026 · 8 claims · 8 setups

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  Luminal prostate epithelial cells, especially the LE-KLK3 subpopulation, show elevated UPR activity compared to other cell types

  pca tcga-prad external scrna-seq bulk immune

• Identification and validation of lymphangiogenesis-related genes for predicting acute myeloid leukemia prognosis: insights from bulk RNA sequencing and single-cell RNA sequencing analyses.

  PMID 41772327 · PMC12979290 · Clinical and experimental medicine · 2026 · 7 claims · 8 setups

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  A 6-LYMRG risk model (ANGPT1, HGF, MAPK8, PCNA, TBL1XR1, TLR4) is the optimal prognostic signature for AML

  gse142698 tcga-laml tcga-laml1 gse116256 differential univariate kaplan-meier

• QuantiSNP: an Objective Bayes Hidden-Markov Model to detect and accurately map copy number variation using SNP genotyping data.

  PMID 17341461 · PMC1874617 · Nucleic acids research · 2007 · 8 claims · 7 setups

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  QuantiSNP (OB-HMM) provides probabilistic quantification of copy number states and significantly improves accuracy of segmental aneuploidy identification and breakpoint mapping relative to existing tools (BeadStudio/Illumina)

  genomic same pseudo-normal artificially snp fish molecular

• DNA methylation biomarkers-based pan-cancer classifier: predictive modeling for cancer classification.

  PMID 42152108 · PMC13185202 · Genome medicine · 2026 · 8 claims · 5 setups

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  Relatively simple ML models (logistic regression) outperform complex algorithms such as deep neural networks for methylation-based cancer classification

  validation cns healthy genes methylation copy-number gene-set

• Construction of a SEMA3 family-based model to predict prognosis and molecular subtypes in pancreatic ductal adenocarcinoma.

  PMID 41792569 · PMC13079247 · Discover oncology · 2026 · 8 claims · 8 setups

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  SEMA3 family expression defines two molecular subtypes (A and B) of PDAC with significantly different overall survival

  pdac bulk ssgsea differential

• Machine learning-driven transcriptomic and single-cell profiling of programed cell death patterns in colon cancer.

  PMID 41854308 · PMC13009810 · Science progress · 2026 · 8 claims · 8 setups

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  Disulfidptosis and anoikis are consistently identified as the most robust prognostic PCD patterns in colon cancer across six independent machine learning algorithms

  colon coad ssgsea-based machine differential