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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Visualizing stability: a sensitivity analysis framework for t-SNE embeddings.
PMID 41552665 · PMC12808344 · Frontiers in bioinformatics · 2025 · 8 claims · 5 setups
The Implicit Function Theorem, combined with automatic differentiation, can be used to efficiently compute the complete sensitivity Jacobian of a converged t-SNE embedding with respect to the input data, avoiding differentiation through the full iterative optimizer.
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Has reproduction · 100
DeepRNA-Reg: a deep-learning based approach for comparative analysis of CLIP experiments.
PMID 41055236 · PMC12505516 · RNA biology · 2025 · 8 claims · 5 setups
DeepRNA-Reg, a recurrent neural network-based algorithm, provides a superior prediction set for differential HITS-CLIP analysis compared to dCLIP.
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Transcriptomics and functional genomics implicate WNT3 in hemispheric lateralization of speech production.
PMID 41660247 · PMC12876320 · iScience · 2026 · 8 claims · 6 setups
A hemisphere-resolved transcriptomic atlas across 13 Brodmann areas reveals region-specific, hemisphere-dependent expression differences in human speech-related cortex
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Has reproduction · 89
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
HTSQualC is a standalone, one-step QC software that performs filtering and trimming of raw HTS data in a single run
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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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Has reproduction · 90
pysradb: A Python package to query next-generation sequencing metadata and data from NCBI Sequence Read Archive.
PMID 31114675 · PMC6505635 · F1000Research · 2019 · 7 claims · 4 setups
pysradb provides a command-line interface to query metadata and download raw sequencing data from NCBI SRA using the SRAdb SQLite database.