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).

• Bayesian transcriptome assembly.

  PMID 25367074 · PMC4397945 · Genome biology · 2014 · 8 claims · 8 setups

  Has reproduction · 68

  Bayesembler, a probabilistic transcriptome assembler built on a Bayesian model of the RNA sequencing process with Gibbs sampling over expressed candidates, abundances and read assignments, is introduced.

  k562 embryonic dendritic rna-seq simulated paired-end long-read

• 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

• DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning.

  PMID 33662629 · PMC9801043 · Genomics, proteomics & bioinformatics · 2022 · 8 claims · 8 setups

  Has reproduction · 50

  DeeReCT-APA quantitatively predicts the usage of all competing PASs of a gene simultaneously, rather than casting the problem as pairwise comparison like prior methods.

  fibroblast genomic same 3'-region 3'-mrna deep

• Wireless sensor network design with reliable and long network lifetime.

  PMID 41981015 · PMC13083951 · Scientific reports · 2026 · 8 claims · 2 setups

  Has reproduction · 65

  Three strategies (Single Copy, Double Copy, Hybrid) jointly address the four WSN design problems (coverage, sink placement/routing, activity scheduling, data routing) together with network reliability in a unified framework.

  simulated large-scale mixed-integer lagrangian

• Incorporation of genetic model parameters for cost-effective designs of genetic association studies using DNA pooling.

  PMID 17634103 · PMC1947971 · BMC genomics · 2007 · 8 claims · 4 setups

  Full-text index only

  A closed-form approximation to the F-test non-centrality parameter (NCP) incorporating genetic model parameters (disease allele frequency, marker allele frequency, prevalence, genotype relative risk, sample size, genetic model, number of pools/replicates, machine variability) can be used to compute power for DNA pooling association studies

  modeled analytic factorial power