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
Surface-enhanced laser desorption/ionization time-of-flight proteomic profiling of breast carcinomas identifies clinicopathologically relevant groups of patients similar to previously defined clusters from cDNA expression.
PMID 18510725 · PMC2481497 · Breast cancer research : BCR · 2008 · 7 claims · 7 setups
Unsupervised hierarchical clustering of 130 SELDI-TOF peaks yielded six peak clusters and five distinct groups of breast cancer patients.
-
Full-text index only
Estimation of relevant variables on high-dimensional biological patterns using iterated weighted kernel functions.
PMID 18509521 · PMC2396875 · PloS one · 2008 · 7 claims · 6 setups
wKIERA combines a weighted-kernel discriminant (kernel perceptron) with an iterative stochastic probability estimation-of-distribution algorithm to estimate a relevance distribution over variables
-
Full-text index only
Multidimensional proteomics analysis of amniotic fluid to provide insight into the mechanisms of idiopathic preterm birth.
PMID 18431506 · PMC2315798 · PloS one · 2008 · 7 claims · 7 setups
A novel 5-peak SELDI proteomic signature (Q-profile) in the 10-12.5 kDa mass range identifies a subgroup of women at risk for preterm birth without intra-amniotic inflammation or bleeding.
-
Full-text index only
Discovery and identification of potential biomarkers of papillary thyroid carcinoma.
PMID 19785722 · PMC2761863 · Molecular cancer · 2009 · 8 claims · 7 setups
A 3-peak (m/z 9190, 6631, 8697 Da) SVM classification model discriminates PTC from non-cancer controls with high sensitivity and specificity
-
Full-text index only
Mining novel biomarkers for prognosis of gastric cancer with serum proteomics.
PMID 19740432 · PMC2753349 · Journal of experimental & clinical cancer research : CR · 2009 · 7 claims · 4 setups
A 5-peak prognosis pattern (4474, 4542, 6443/6643, 4988, 6685 Da) predicts poor vs good prognosis in GC with higher sensitivity/specificity than CEA and TNM stage
-
Full-text index only
Swarm intelligence based wavelet coefficient feature selection for mass spectral classification: an application to proteomics data.
PMID 19733729 · PMC2748225 · Analytica chimica acta · 2009 · 8 claims · 4 setups
ACA-based wavelet coefficient feature selection can achieve up to 100% classification accuracy on training, validating, and independent testing sets using only 5 selected features.
-
Full-text index only
Development of proteomic patterns for detecting lung cancer.
PMID 14757945 · PMC3851077 · Disease markers · 2003 · 8 claims · 3 setups
A decision tree classification algorithm built on three serum protein mass peaks (8122Da, 1452Da, 1610Da) can discriminate lung cancer patients from healthy controls
-
Full-text index only
Measurement reproducibility in the early stages of biomarker development.
PMID 15665389 · PMC3839328 · Disease markers · 2004 · 6 claims · 3 setups
Functional PCA can be used as the basis for gauge R&R (repeatability and reproducibility) assessment of mass spectra without prior identification of which spectral features are biomarkers
-
Full-text index only
Limitations in SELDI-TOF MS whole serum proteomic profiling with IMAC surface to specifically detect colorectal cancer.
PMID 19689818 · PMC2743709 · BMC cancer · 2009 · 7 claims · 3 setups
The previously reported classifier (m/z 8,132 and 4,002) failed to discriminate CRC patients from healthy volunteers in this independent validation cohort
-
Full-text index only
Application of serum SELDI proteomic patterns in diagnosis of lung cancer.
PMID 16029516 · PMC1183195 · BMC cancer · 2005 · 6 claims · 2 setups
A five-protein-peak SELDI decision-tree pattern (11493, 6429, 8245, 5335, 2538 Da) distinguishes lung cancer sera from healthy control sera with relatively high sensitivity and specificity
-
Full-text index only
On consensus biomarker selection.
PMID 17570864 · PMC1892093 · BMC bioinformatics · 2007 · 7 claims · 2 setups
Four popular feature ranking criteria (t-statistic, mutual information, peak probability contrasts, random forest variable importance) produce different rankings of the same features on the same dataset.
-
Full-text index only
Method of regulatory network that can explore protein regulations for disease classification.
PMID 19962281 · PMC7126395 · Artificial intelligence in medicine · 2010 · 6 claims · 2 setups
A regulatory network (RN) can be constructed as a hopfield-like network, with nodes as biomarkers and directed weighted connections as regulatory relationships, optimized by minimizing an energy function measuring input-output disagreement.
-
Full-text index only
[Research progress in SELDI-TOF MS and its clinical applications].
PMID 17168305 · PMC7148935 · Sheng wu gong cheng xue bao = Chinese journal of biotechnology · 2006 · 4 claims · 4 setups
Proteinchip profiling based on SELDI-TOF MS is a powerful and innovative proteomic technology for biomarker discovery and diagnostic/prognostic assay development.
-
Full-text index only
Update on diabetes mellitus.
PMID 15502249 · PMC3839330 · Disease markers · 2004 · 8 claims · 7 setups
Type 1 diabetes results from selective destruction of pancreatic beta cells via T-cell and cytokine mediated autoimmune mechanisms, possibly involving destruction of peri-islet Schwann cells.
-
Full-text index only
SELDI-TOF proteomic profiling of breast carcinomas identifies clinicopathologically relevant groups of patients similar to previously defined clusters from cDNA expression.
PMID 18644101 · PMC2481502 · Breast cancer research : BCR · 2008 · 7 claims · 3 setups
SELDI-TOF MS proteomic profiling of breast carcinomas identifies patient subgroups with differential co-expression of protein peaks that are analogous to gene-expression-based classifications (luminal, basal, HER2 subtypes)
-
Full-text index only
Identification of biomarkers from mass spectrometry data using a "common" peak approach.
PMID 16869977 · PMC1550264 · BMC bioinformatics · 2006 · 8 claims · 1 setups
"Common" peaks—those exhibited by many subjects—can be identified and used as biomarkers in high-dimensional mass spectrometry data
-
Full-text index only
A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection.
PMID 19828085 · PMC2762074 · BMC bioinformatics · 2009 · 7 claims · 1 setups
A scale-space based unsupervised feature extraction method combined with SVM classification achieves high accuracy in ovarian cancer detection from serum mass spectra.
-
Full-text index only
The use of urine proteomic and metabonomic patterns for the diagnosis of interstitial cystitis and bacterial cystitis.
PMID 15258332 · PMC3850593 · Disease markers · 2003 · 6 claims · 2 setups
Urine MS and 1H-NMR spectral patterns can be used to discriminate IC-affected, BC-affected, and unaffected individuals with approximately 84% success rate.
-
Full-text index only
High-throughput genomic technology in research and clinical management of breast cancer. Plasma-based proteomics in early detection and therapy.
PMID 17184556 · PMC1797031 · Breast cancer research : BCR · 2006 · 8 claims · 8 setups
Plasma is well suited to proteomic biomarker discovery because it is easily obtained, routinely used diagnostically, and has a rich proteome.
-
Full-text index only
CSF metabolic and proteomic profiles in patients prodromal for psychosis.
PMID 17712404 · PMC1942084 · PloS one · 2007 · 8 claims · 5 setups
CSF metabolic and proteomic profiles of IPS patients are distributed across, and partially overlap with, the profiles of first-onset drug-naïve schizophrenia patients and healthy controls