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).

• IsomiR_Window: a system for analyzing small-RNA-seq data in an integrative and user-friendly manner.

  PMID 33522913 · PMC7852101 · BMC bioinformatics · 2021 · 8 claims · 2 setups

  Has reproduction · 78

  IsomiR Window is an integrated, user-friendly platform that systematically identifies, quantifies, and functionally explores isomiR expression in small-RNA-seq datasets without requiring computational skills

  simulated basal small-rna-seq

• HArmonized single-cell RNA-seq Cell type Assisted Deconvolution (HASCAD).

  PMID 37907883 · PMC10619225 · BMC medical genomics · 2023 · 6 claims · 5 setups

  Has reproduction · 67

  HASCAD, a DNN-based cell composition deconvolution model, predicts the fractions of up to 15 immune cell types from bulk RNA-seq.

  pbmc bulk tcga-lihc harmony-symphony scrna-seq simulated bulk

• Forseti: a mechanistic and predictive model of the splicing status of scRNA-seq reads.

  PMID 38940130 · PMC11256924 · Bioinformatics (Oxford, England) · 2024 · 7 claims · 5 setups

  Has reproduction · 87

  Forseti is the first probabilistic model for resolving the splicing status of exonic scRNA-seq reads by scoring putative fragments linking read alignments to proximate priming sites

  training simulated held-out paired-end cubic mlp

• CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.

  PMID 40739511 · PMC12312500 · BMC biology · 2025 · 8 claims · 8 setups

  Has reproduction · 42

  CanCellCap, a multi-domain learning framework integrating domain adversarial learning and Mixture of Experts, identifies cancer cells across all tissues, cancers, and sequencing platforms by extracting tissue-common and tissue-specific gene expression patterns.

  testing datasets tisch2 prostate scrna-seq simulated spatial

• 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

  pbmc pancreas covid-19 scrna-seq

• Evidence for a preferential targeting of 3'-UTRs by cis-encoded natural antisense transcripts.

  PMID 16204454 · PMC1243798 · Nucleic acids research · 2005 · 8 claims · 4 setups

  Full-text index only

  Cis-encoded natural antisense RNAs show striking preferential complementarity to 3′-UTRs of their target genes in human and mouse genomes

  human-mouse model genome-wide comparative computational

• Digital sorting of complex tissues for cell type-specific gene expression profiles.

  PMID 23497278 · PMC3626856 · BMC bioinformatics · 2013 · 8 claims · 8 setups

  Has reproduction · 85

  The Digital Sorting Algorithm (DSA) deconvolves mixed tissue expression into cell type-specific profiles using only marker genes, without requiring prior knowledge of cell type frequencies or in vitro pure-cell profiles.

  liver im-9 immune deconvolved microarray simulation roc

• Deducing topology of protein-protein interaction networks from experimentally measured sub-networks.

  PMID 18598366 · PMC2474618 · BMC bioinformatics · 2008 · 7 claims · 6 setups

  Full-text index only

  Experimentally measured protein-protein interaction sub-networks are not random samples of their parent networks.

  yeast drosophila networks dppi reanalysis computer repeated