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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Has reproduction · 87
Genetic demultiplexing of pooled single-cell RNA-sequencing samples in cancer facilitates effective experimental design.
PMID 34553212 · PMC8458035 · GigaScience · 2021 · 8 claims · 6 setups
Genetic variation-based demultiplexing tools can be effectively deployed on pooled scRNA-seq experimental designs in cancer tissue (HGSOC and lung adenocarcinoma) despite somatic variation.
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TiRank prioritizes phenotypic niches in tumor microenvironment for clinical biomarker discovery.
PMID 41689080 · PMC12910759 · Genome medicine · 2026 · 7 claims · 4 setups
TiRank is a framework that integrates scRNA-seq, ST, and bulk transcriptomes using an REO-transformation module and multitask transfer learning to align data into a unified embedding space for prioritizing clinically relevant spatial niches
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Multimodal-based analysis of single-cell ATAC-seq data enables highly accurate delineation of clinically relevant tumor cell subpopulations.
PMID 41530870 · PMC12888741 · Genome medicine · 2026 · 8 claims · 8 setups
MAAS integrates chromatin accessibility, CNVs, and SNVs from scATAC-seq data to identify functional tumor cell subpopulations
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Accurate detection of somatic single-nucleotide variants from bulk RNA-seq data using RNA-MosaicHunter.
PMID 41505106 · PMC12781890 · Nucleic acids research · 2026 · 6 claims · 8 setups
RNA-MosaicHunter accurately detects sSNVs from bulk RNA-seq with high precision (94.7% in TCGA, 99.3% in cell-line mixture) in default mode
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Has reproduction · 86
RNASEQR--a streamlined and accurate RNA-seq sequence analysis program.
PMID 22199257 · PMC3315322 · Nucleic acids research · 2012 · 8 claims · 7 setups
RNASEQR is a new RNA-seq mapper/aligner that combines a BWT-based (Bowtie) transcriptomic/genomic alignment with hash-based BLAT local alignment in three sequential steps: transcriptome mapping, novel exon detection, and anchor-and-align novel splice junction identification.
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Has reproduction · 74
SpaGene: A Deep Adversarial Framework for Spatial Gene Imputation.
PMID 42146899 · PMC13176606 · Computational and structural biotechnology journal · 2026 · 8 claims · 6 setups
SpaGene improves average PCC and SSIM and reduces RMSE compared to 6 baseline methods (SpaGE, gimVI, Tangram, VISTA, spRefine, stDiff) across 8 diverse ST-SC dataset pairs under gene-holdout evaluation.
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Has reproduction · 85
Digital sorting of complex tissues for cell type-specific gene expression profiles.
PMID 23497278 · PMC3626856 · BMC bioinformatics · 2013 · 8 claims · 8 setups
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.
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Visualization-based discovery and analysis of genomic aberrations in microarray data.
PMID 15953389 · PMC1181623 · BMC bioinformatics · 2005 · 8 claims · 7 setups
ChARMView integrates dynamic visualization with automated statistical analysis (EM-based breakpoint detection, one-sample sign test, permutation mean test) to discover chromosomal aberrations from array CGH and gene expression data
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Live-cell Pick-Seq (LiP-Seq): Interrogating ultra-rare mantle cell lymphoma persistent cells after CART19 therapy.
PMID 41855504 · PMC13234471 · Blood advances · 2026 · 8 claims · 7 setups
LiP-Seq is a novel platform combining multiplexed live-cell imaging and needle-based single-cell retrieval that enables transcriptomic profiling of ultrarare (down to 10^-6 frequency), viable persistent lymphoma cells
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Has reproduction · 63
Community assessment of methods to deconvolve cellular composition from bulk gene expression.
PMID 39191725 · PMC11350143 · Nature communications · 2024 · 8 claims · 4 setups
Most deconvolution methods accurately predict coarse-grained immune/stromal cell populations from bulk expression.
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A novel deep learning-driven framework for improving lncRNA comprehensive annotation with LncADeep 2.0.
PMID 41923359 · PMC13090826 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups
LncADeep 2.0 outperforms LncADeep and other existing tools for lncRNA identification on both GENCODE annotated transcripts and independent RNA-seq data