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).
-
Full-text index only
A global view of protein expression in human cells, tissues, and organs.
PMID 20029370 · PMC2824494 · Molecular systems biology · 2009 · 7 claims · 6 setups
A high fraction (>65%) of proteins is expressed in most human cells and tissues, while very few proteins (<2%) are detected in any single cell type.
-
Full-text index only
A DNA microarray survey of gene expression in normal human tissues.
PMID 15774023 · PMC1088941 · Genome biology · 2005 · 6 claims · 6 setups
Unsupervised hierarchical clustering of gene expression groups normal tissue samples largely according to anatomic location, cellular composition, or physiologic function.
-
Full-text index only
Optimality driven nearest centroid classification from genomic data.
PMID 17912341 · PMC1991588 · PloS one · 2007 · 7 claims · 5 setups
A theoretical result determines the subset of features of a given size that minimizes the misclassification rate for a nearest-centroid (LDA) classifier, based on equation (4).
-
Full-text index only
Differential membrane proteomics using 18O-labeling to identify biomarkers for cholangiocarcinoma.
PMID 18839982 · PMC3204659 · Journal of proteome research · 2008 · 7 claims · 4 setups
Golgi membrane protein 1 (GOLM1/GP73), Annexin IV, and Eps8 are validated candidate biomarkers for cholangiocarcinoma
-
Full-text index only
A non-parametric meta-analysis approach for combining independent microarray datasets: application using two microarray datasets pertaining to chronic allograft nephropathy.
PMID 18302764 · PMC2276496 · BMC genomics · 2008 · 8 claims · 6 setups
A novel non-parametric meta-analysis approach for combining independent microarray datasets is presented, requiring no distributional assumptions and being logically intuitive.
-
Full-text index only
Variations in the transcriptome of Alzheimer's disease reveal molecular networks involved in cardiovascular diseases.
PMID 18842138 · PMC2760875 · Genome biology · 2008 · 8 claims · 6 setups
AD-related genes (APOE, A2M, PON2, MAP4) and CVD-associated genes (COMT, CBS, WNK1) congregate in a single co-expression module, linking AD and CVD at the transcriptional level
-
Full-text index only
A quantitative proteomic approach for identification of potential biomarkers in hepatocellular carcinoma.
PMID 18715028 · PMC3769105 · Journal of proteome research · 2008 · 8 claims · 3 setups
iTRAQ-based quantitative LC-MS/MS proteomics can identify and quantitate differentially expressed proteins between HCC tumor and adjacent noncancerous liver tissue
-
Full-text index only
CD155/PVR plays a key role in cell motility during tumor cell invasion and migration.
PMID 15471548 · PMC524493 · BMC cancer · 2004 · 8 claims · 8 setups
A FALI-coupled scFv antibody library screen identifies CD155 (poliovirus receptor) as a mediator of tumor cell invasion
-
Full-text index only
Discovery of molecular subtypes in leiomyosarcoma through integrative molecular profiling.
PMID 19901961 · PMC2820592 · Oncogene · 2010 · 8 claims · 6 setups
Unsupervised gene expression clustering identifies 3 reproducible molecular subtypes of LMS (Group I/muscle-enriched, Group II, Group III)
-
Full-text index only
MicroRNA profiling of BRCA1/2 mutation-carrying and non-mutation-carrying high-grade serous carcinomas of ovary.
PMID 19798417 · PMC2749450 · PloS one · 2009 · 7 claims · 7 setups
High grade serous carcinomas with and without BRCA1/2 abnormalities show very similar miRNA expression profiles, with no clear clustering separation by BRCA1/2 status
-
Has reproduction · 77
Comparison of RNA-Seq by poly (A) capture, ribosomal RNA depletion, and DNA microarray for expression profiling.
PMID 24888378 · PMC4070569 · BMC genomics · 2014 · 8 claims · 8 setups
Ribo-Zero-Seq removes rRNA with efficiency comparable to poly(A)-based mRNA-Seq in both FF and FFPE RNA, whereas DSN-Seq leaves significantly more rRNA and shows greater variation.