Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100

Publications 8 Datasets 392.5k Experiments 4.7k

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8 matching publication(s)

Publication	Journal	Year	Score	Verdict
Prognostic biomarker discovery in pancreatic cancer through hybrid ensemble feature selection and multi-omics data. PMID 41957754	BioData Min	2026	92	L1 92/100
Prediction, syntax and semantic grounding in the brain and large language models. PMID 41807493	Sci Rep	2026	86	L1 86/100
ConNIS and labeling instability: New statistical methods for improving the detection of essential genes in TraDIS libraries. PMID 41790830	PLoS Comput Biol	2026	83	L1 83/100
MCPmed: a call for Model Context Protocol-enabled bioinformatics web services for LLM-driven discovery. ⚑ PMID 41729821	Brief Bioinform	2026	80	L1 80/100 ⚑
Benefit of using interaction effects for the analysis of high-dimensional time-response or dose-response data for two-group comparisons. PMID 38012163	Sci Rep	2023	92	L1 92/100
Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics. PMID 31918046	iScience	2019	96	L1 96/100
Reusable building blocks in biological systems. PMID 30958230	J R Soc Interface	2018	82	L1 82/100
MetaMap: an atlas of metatranscriptomic reads in human disease-related RNA-seq data. PMID 29901703	Gigascience	2018	95	L1 95/100

Prognostic biomarker discovery in pancreatic cancer through hybrid ensemble feature selection and multi-omics data.

PMID 41957754 · BioData Min · 2026

L1 92/100

Prediction, syntax and semantic grounding in the brain and large language models.

PMID 41807493 · Sci Rep · 2026

L1 86/100

ConNIS and labeling instability: New statistical methods for improving the detection of essential genes in TraDIS libraries.

PMID 41790830 · PLoS Comput Biol · 2026

L1 83/100

MCPmed: a call for Model Context Protocol-enabled bioinformatics web services for LLM-driven discovery.⚑

PMID 41729821 · Brief Bioinform · 2026

L1 80/100 ⚑

Benefit of using interaction effects for the analysis of high-dimensional time-response or dose-response data for two-group comparisons.

PMID 38012163 · Sci Rep · 2023

L1 92/100

Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics.

PMID 31918046 · iScience · 2019

L1 96/100

Reusable building blocks in biological systems.

PMID 30958230 · J R Soc Interface · 2018

L1 82/100

MetaMap: an atlas of metatranscriptomic reads in human disease-related RNA-seq data.

PMID 29901703 · Gigascience · 2018

L1 95/100