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-species integration, alignment and annotation of single-cell RNA-seq data with CAMEX.

  PMID 41723123 · PMC13035843 · Nature communications · 2026 · 8 claims · 6 setups

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  CAMEX outperforms state-of-the-art integration methods on cross-species scRNA-seq benchmarking datasets ranging from one to eleven species

  liver ovary pancreas testis scrna-seq type

• bakR: uncovering differential RNA synthesis and degradation kinetics transcriptome-wide with Bayesian hierarchical modeling.

  PMID 37028916 · PMC10275263 · RNA (New York, N.Y.) · 2023 · 8 claims · 4 setups

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  bakR uses Bayesian hierarchical modeling to share information (specifically a replicate variability vs. read count trend) across transcripts, increasing statistical power for differential kinetic analysis

  simulated existing simulated nucleotide

• DMN-seq enriches DNA hypomethylated regions for biomarker discovery using 5-methylcytosine glycosylase.

  PMID 41673887 · PMC13097799 · Genome biology · 2026 · 8 claims · 9 setups

  Has reproduction · 80

  DMN-seq (DMN+) uses DME to nick DNA specifically at 5mC sites, enabling 5mC detection at single-base resolution via selective adaptor ligation

  synthetic partially embryonic mesc glycosylase dmn-seq ultrafast

• CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic Data.

  PMID 41231245 · PMC13053056 · Cancer research · 2026 · 7 claims · 7 setups

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  CanSig is a comprehensive benchmarking tool for evaluating computational methods that identify shared transcriptional signatures in cancer from scRNA-seq data

  neftel kim scrna-seq same scrna-seq ground-truth robustness

• 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

• miRge3.0: a comprehensive microRNA and tRF sequencing analysis pipeline.

  PMID 34308351 · PMC8294687 · NAR genomics and bioinformatics · 2021 · 8 claims · 6 setups

  Has reproduction

  miRge3.0 is a Python 3-based small RNA-seq and tRF analysis pipeline that improves on miRge2.0 (which was Python 2.7-based)

  sra synthetic qiagen-processed same small umi mirna

• HTSQualC is a flexible and one-step quality control software for high-throughput sequencing data analysis.

  PMID 34548573 · PMC8455540 · Scientific reports · 2021 · 8 claims · 5 setups

  Has reproduction · 89

  HTSQualC is a standalone, one-step QC software that performs filtering and trimming of raw HTS data in a single run

  cotton sugarcane tomato illumina single-end paired-end runtime

• scSurv: a deep generative model for single-cell survival analysis.

  PMID 41429574 · PMC12797213 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

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  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

  simulated tcga melanoma renal scrna-seq bulk single-cell

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

  PMID 37907883 · PMC10619225 · BMC medical genomics · 2023 · 6 claims · 4 setups

  Has reproduction · 67

  Removal of batch effects in reference scRNA-seq datasets (via Harmony-Symphony) benefits the task of cell composition deconvolution

  pbmc derived tcga-lihc scrna-seq simulated bulk

• scGACL: a generative adversarial network with multi-scale contrastive learning for accurate single-cell RNA sequencing imputation.

  PMID 41632596 · PMC12866930 · Briefings in bioinformatics · 2026 · 8 claims · 6 setups

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  scGACL, a GAN integrated with multi-scale contrastive learning, is proposed to overcome the over-smoothing problem in scRNA-seq imputation

  simulated real-world scrna-seq scrna-seq clustering gene

• Enriched domain detector: a program for detection of wide genomic enrichment domains robust against local variations.

  PMID 24782521 · PMC4066758 · Nucleic acids research · 2014 · 8 claims · 5 setups

  Has reproduction · 79

  EDD is a new algorithm that detects broad (megabase-size) enrichment domains from ChIP-seq data of widely distributed chromatin proteins such as A- and B-type lamins.

  normal dermal analysis set chip-seq chip-qpcr rna-seq

• 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

• CellMap: precision mapping of cellular landscape in spatial transcriptomics.

  PMID 41505103 · PMC12781899 · Nucleic acids research · 2026 · 7 claims · 3 setups

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  CellMap combines co-linearity of seed genes, a random forest model, and the linear assignment algorithm to achieve optimal assignment of single cells to spatial spots

  platforms single-cell expression computational scrna-seq spatial

• CellFishing.jl: an ultrafast and scalable cell search method for single-cell RNA sequencing.

  PMID 30744683 · PMC6371477 · Genome biology · 2019 · 8 claims · 5 setups

  Has reproduction · 97

  CellFishing.jl achieves accuracy comparable to state-of-the-art software (scmap-cell) but is markedly faster

  scrna-seq shekhar2016 svd lsh hamming

• 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

• Benchmarking methods for genome annotation using nanopore direct RNA in a non-model crop plant.

  PMID 41800382 · PMC12967217 · Bioinformatics advances · 2026 · 6 claims · 8 setups

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  Annotation tools show substantial variation in isoform detection, structural completeness, splicing classification, and handling of 5' read truncation when applied to plant dRNA-seq data.

  barley extracted tool novel nanopore illumina transcriptome

• Lorentz-regularized interpretable VAE for multi-scale single-cell transcriptomic and epigenomic embeddings.

  PMID 41555918 · PMC12812404 · Frontiers in genetics · 2025 · 7 claims · 5 setups

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  LiVAE, a dual-pathway VAE with Lorentzian geometric regularization between a primary Euclidean pathway and an information-bottleneck pathway, balances local fidelity with global topology coherence in single-cell embeddings

  single-cell same dapp1 benchmarking umap component-wise

• Eukan: a fully automated nuclear genome annotation pipeline for less studied and divergent eukaryotes.

  PMID 41567515 · PMC12817076 · NAR genomics and bioinformatics · 2026 · 8 claims · 7 setups

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  Eukan automatically leverages RNA-Seq coverage to inform generalized Hidden Markov Model gene prediction and intron lengths to inform protein sequence alignments

  taxonomically paired-end rna-seq reference automated rna-seq novo

• scDBic: a novel deep learning-based biclustering algorithm for analyzing scRNA-seq data.

  PMID 41746287 · PMC13012890 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

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  scDBic improves cell clustering by combining deep autoencoder-based cell clustering, gene clustering, and reverse-strategy identification of key gene clusters

  e-mtab-3321 e-mtab-2600 gse45719 gse52529 biclustering ablation

• Spatial information matters: are traditional imputation methods effective for spatial transcriptomics data?

  PMID 41627342 · PMC12862982 · Briefings in bioinformatics · 2026 · 7 claims · 3 setups

  Has reproduction · 89

  No single existing SOTA imputation method consistently performs well across newer SRT platforms/datasets

  datasets srt same computational proposed