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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Bayesian inference of RNA velocity incorporating timepoints, lineage bifurcations, and count data.
PMID 41860983 · PMC13021174 · PLoS computational biology · 2026 · 8 claims · 8 setups
VeloVAE significantly outperforms previous RNA velocity methods in data fit, accuracy of inferred differentiation directions, and transcription rate estimation.
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Unveiling gene perturbation effects through gene regulatory networks inference from single-cell transcriptomic data.
PMID 41984780 · PMC13082667 · PLoS computational biology · 2026 · 7 claims · 4 setups
IGNITE is an unsupervised framework that infers directed, weighted, and signed GRNs directly from unperturbed scRNA-seq data using the inverse problem for a kinetic Ising model.
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Has reproduction · 67
HArmonized single-cell RNA-seq Cell type Assisted Deconvolution (HASCAD).
PMID 37907883 · PMC10619225 · BMC medical genomics · 2023 · 6 claims · 4 setups
Removal of batch effects in reference scRNA-seq datasets (via Harmony-Symphony) benefits the task of cell composition deconvolution
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Has reproduction · 100
ChIP-seq Data Processing and Relative and Quantitative Signal Normalization for Saccharomyces cerevisiae.
PMID 40364978 · PMC12067309 · Bio-protocol · 2025 · 8 claims · 6 setups
Spike-in normalization, though semiquantitative, often fails to reliably support comparisons within and between ChIP-seq samples.
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GDSim: accurate simulation for single-cell transcriptomes based on the guided diffusion model.
PMID 41978379 · PMC13076945 · Briefings in bioinformatics · 2026 · 8 claims · 4 setups
GDSim, a label-guided diffusion-based deep generative network, can simulate scRNA-seq data that closely reflects the true distribution of original data
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Single-cell omics data-driven decoding of tumor clonal evolution through reinforcement learning.
PMID 41998716 · PMC13224513 · Genome medicine · 2026 · 8 claims · 3 setups
scRevol is an RL-based model that infers tumor clonal evolution from scRNA-seq-derived CNV profiles via a label assignment learning strategy.
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Has reproduction · 50
Viewing RNA-seq data on the entire human genome.
PMID 28979763 · PMC5605993 · F1000Research · 2017 · 8 claims · 3 setups
RNA-Seq Viewer is a web application that visualizes genome-wide RNA-seq expression data pulled from NCBI's SRA and GEO databases using Ideogram.js
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scSurv: a deep generative model for single-cell survival analysis.
PMID 41429574 · PMC12797213 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups
scSurv combines a Cox proportional hazards model with a deep generative model (VAE) of single-cell transcriptomes to estimate individual cellular contributions to clinical outcomes
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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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SeqExpressionAnalyser: An R Package for Automated End-to-End RNA-Seq Analysis From Reads to Differential Expression.
PMID 41602550 · PMC12833196 · Bioinformatics and biology insights · 2026 · 8 claims · 2 setups
SeqExpressionAnalyser is a novel R package/Shiny web application that provides the first R-based, fully integrated interface for interactive end-to-end RNA-Seq differential gene expression analysis, from FASTQ reads to results.
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Hypergraph representations of single-cell RNA sequencing data for improved cell clustering.
PMID 41896196 · PMC13070707 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups
Unipartite network projections (e.g. cell/gene co-expression networks) of scRNA-seq data lose higher-order information and are an inefficient, inflated representation of sparse transcriptomic data
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Has reproduction · 59
WASP: a versatile, web-accessible single cell RNA-Seq processing platform.
PMID 33736596 · PMC7977290 · BMC genomics · 2021 · 7 claims · 7 setups
WASP is a software platform for processing Drop-Seq-based scRNA-seq data generated with ddSEQ or 10x protocols, combining a Snakemake pre-processing pipeline with an R Shiny post-processing application.
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Has reproduction · 81
SEMdag: Fast learning of Directed Acyclic Graphs via node or layer ordering.
PMID 39775401 · PMC11709272 · PloS one · 2025 · 8 claims · 5 setups
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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Improved RNA-DNA interaction calling suggests RNA-based gene regulation of phenotypic transitions.
PMID 42258536 · PMC13244158 · Nucleic acids research · 2026 · 7 claims · 8 setups
RADIAnT is a reads-to-interactions computational pipeline for analyzing RNA–DNA ligation data
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Single-cell dissection of regulated cell death dynamics in ovarian aging.
PMID 41689119 · PMC13005338 · Journal of ovarian research · 2026 · 8 claims · 8 setups
The RCD landscape of ovarian aging had not previously been characterized at single-cell resolution
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Has reproduction · 85
Single-Cell Differential Network Analysis with Sparse Bayesian Factor Models.
PMID 35186014 · PMC8855158 · Frontiers in genetics · 2021 · 8 claims · 2 setups
A hierarchical Bayesian factor model using treatment-dependent latent factor loadings can construct gene co-expression networks from scRNA-seq data and identify differences in network structure between two (or more) biological conditions.
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Embeddings from language models are good learners for single-cell data analysis.
PMID 41726097 · PMC12921509 · Patterns (New York, N.Y.) · 2026 · 8 claims · 8 setups
scELMo combines LLM-derived embeddings of gene and cell metadata with raw single-cell expression data via matrix operations to generate cell embeddings without pretraining a new model
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Has reproduction
Single-cell RNA-sequencing of circulating tumour cells: A practical guide to workflow and translational applications.
PMID 41053409 · PMC12500777 · Cancer metastasis reviews · 2025 · 8 claims · 8 setups
A 12-step CTC-specific scRNA-seq workflow is proposed, spanning enrichment, single-cell sorting, sequencing, data pre-processing and downstream analysis, to overcome methodological inconsistencies in the field.
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Has reproduction · 63
RAGER: A user-friendly computational platform for integrated analysis of RNA-Seq and ATAC-seq data.
PMID 42172220 · PMC13196991 · PloS one · 2026 · 8 claims · 8 setups
RAGER integrates widely-used bioinformatics tools into an automated Snakemake-based pipeline for joint analysis of RNA-seq and ATAC-seq data
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Has reproduction · 66
HTSstation: a web application and open-access libraries for high-throughput sequencing data analysis.
PMID 24475057 · PMC3903476 · PloS one · 2014 · 8 claims · 5 setups
HTSstation is a web application suite coupling simple web forms to modular analysis pipelines for ChIP-seq, RNA-seq, 4C-seq and re-sequencing HTS applications, accessible at http://htsstation.epfl.ch.