On the public citation graph
When Artifacts Masquerade as Discovery: A Case Study Revealing Hidden Laboratory Errors in Lipidomics Data with Biologically Apparently Plausible Results
0 signed · 81 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-21706-2openalex-snapshot
Modern Applied Statistics with S
inferredcites →https://doi.org/10.1007/978-0-387-78189-1openalex-snapshot
Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning
inferredcites →https://doi.org/10.1007/978-0-387-98141-3openalex-snapshot
ggplot2: Elegant Graphics for Data Analysis
inferredcites →https://doi.org/10.1007/978-3-319-07695-9_24openalex-snapshot
Exploiting the Structures of the U-Matrix
inferredcites →https://doi.org/10.1007/bf00337288openalex-snapshot
Self-organized formation of topologically correct feature maps
inferredcites →https://doi.org/10.1007/bf02533579openalex-snapshot
Effects of estrogens and progestins on high density lipoproteins
inferredcites →https://doi.org/10.1007/bf02776078openalex-snapshot
On lipschitz embedding of finite metric spaces in Hilbert space
inferredcites →https://doi.org/10.1007/s00216-023-04991-2openalex-snapshot
From big data to big insights: statistical and bioinformatic approaches for exploring the lipidome
inferredcites →https://doi.org/10.1007/s11306-023-02079-7openalex-snapshot
Classifying patients with psoriatic arthritis according to their disease activity status using serum metabolites and machine learning
inferredcites →https://doi.org/10.1007/s11926-007-0075-1openalex-snapshot
Pathophysiology of psoriasis: Recent advances on IL-23 and Th17 cytokines
inferredcites →https://doi.org/10.1016/j.aca.2015.02.068openalex-snapshot
Lipidomic data analysis: Tutorial, practical guidelines and applications
inferredcites →https://doi.org/10.1016/j.atherosclerosis.2023.117274openalex-snapshot
Effect of biological sex on human circulating lipidome: An overview of the literature
inferredcites →https://doi.org/10.1016/j.freeradbiomed.2010.09.006openalex-snapshot
Oxidative stress, inflammation, and cancer: How are they linked?
inferredcites →https://doi.org/10.1016/j.imu.2024.101573openalex-snapshot
Comparative assessment of projection and clustering method combinations in the analysis of biomedical data
inferredcites →https://doi.org/10.1016/j.jaut.2025.103394openalex-snapshot
Sex differences in biomarkers and biologic mechanisms in psoriatic diseases and spondyloarthritis
inferredcites →https://doi.org/10.1016/j.jbi.2016.12.011openalex-snapshot
Machine-learned cluster identification in high-dimensional data
inferredcites →https://doi.org/10.1016/j.jdermsci.2006.10.009openalex-snapshot
Cannabinoids inhibit human keratinocyte proliferation through a non-CB1/CB2 mechanism and have a potential therapeutic value in the treatment of psoriasis
inferredcites →https://doi.org/10.1016/j.jlr.2024.100621openalex-snapshot
The lipidomics reporting checklist a framework for transparency of lipidomic experiments and repurposing resource data
inferredcites →https://doi.org/10.1016/j.jlr.2025.100780openalex-snapshot
Clinical lipidomics reveals high individuality and sex specificity of circulatory lipid signatures: a prospective healthy population study
inferredcites →https://doi.org/10.1016/j.jmsacl.2023.02.002openalex-snapshot
Pre-analytical sample handling standardization for reliable measurement of metabolites and lipids in LC-MS-based clinical research
inferredcites →https://doi.org/10.1016/j.jmsacl.2023.02.003openalex-snapshot
Small molecule biomarker discovery: Proposed workflow for LC-MS-based clinical research projects
inferredcites →https://doi.org/10.1016/j.lfs.2020.117443openalex-snapshot
The mechanisms of lysophosphatidylcholine in the development of diseases
inferredcites →https://doi.org/10.1016/j.talanta.2019.120593openalex-snapshot
Implementation of lipidomics in clinical routine: Can fluoride/citrate blood sampling tubes improve preanalytical stability?
inferredcites →https://doi.org/10.1016/j.talanta.2023.125295openalex-snapshot
Short-term predictor for COVID-19 severity from a longitudinal multi-omics study for practical application in intensive care units
inferredcites →https://doi.org/10.1016/s0893-6080(00)00026-5openalex-snapshot
Independent component analysis: algorithms and applications
inferredcites →https://doi.org/10.1037/h0070888openalex-snapshot
Analysis of a complex of statistical variables into principal components.
inferredcites →https://doi.org/10.1037/h0071325openalex-snapshot
Analysis of a complex of statistical variables into principal components.
inferredcites →https://doi.org/10.1038/s41392-023-01655-6openalex-snapshot
Signaling pathways and targeted therapies for psoriasis
inferredcites →https://doi.org/10.1038/s41467-021-24984-yopenalex-snapshot
Quality control requirements for the correct annotation of lipidomics data
inferredcites →https://doi.org/10.1038/s41598-017-14004-9openalex-snapshot
Growth factors regulate phospholipid biosynthesis in human fibroblast-like synoviocytes obtained from osteoarthritic knees
inferredcites →https://doi.org/10.1038/s41598-018-33077-8openalex-snapshot
Machine-learning based lipid mediator serum concentration patterns allow identification of multiple sclerosis patients with high accuracy
inferredcites →https://doi.org/10.1038/s41598-023-31426-wopenalex-snapshot
Machine learning based combination of multi-omics data for subgroup identification in non-small cell lung cancer
inferredcites →https://doi.org/10.1038/s41598-023-49574-4openalex-snapshot
Machine learning identifies right index finger tenderness as key signal of DAS28-CRP based psoriatic arthritis activity
inferredcites →https://doi.org/10.1080/000155500750012090openalex-snapshot
Intracutaneous Injection of Lysophosphatidylcholine Induces Skin Inflammation and Accumulation of Leukocytes
inferredcites →https://doi.org/10.1080/01621459.1949.10483310openalex-snapshot
The Monte Carlo Method
inferredcites →https://doi.org/10.1080/01621459.1963.10500845openalex-snapshot
Hierarchical Grouping to Optimize an Objective Function
inferredcites →https://doi.org/10.1080/10618600.1996.10474713openalex-snapshot
R: A Language for Data Analysis and Graphics
inferredcites →https://doi.org/10.1080/14786440109462720openalex-snapshot
LIII. On lines and planes of closest fit to systems of points in space
inferredcites →https://doi.org/10.1093/bioinformatics/btac040openalex-snapshot
RawHummus: an R Shiny app for automated raw data quality control in metabolomics
inferredcites →https://doi.org/10.1093/bioinformatics/btac581openalex-snapshot
LipidMS 3.0: an R-package and a web-based tool for LC-MS/MS data processing and lipid annotation
inferredcites →https://doi.org/10.1093/bjd/ljae089openalex-snapshot
Elevated plasma triglycerides increase the risk of psoriasis: a cohort and Mendelian randomization study
inferredcites →https://doi.org/10.1093/gigascience/gix087openalex-snapshot
Lipidomics profiling reveals the role of glycerophospholipid metabolism in psoriasis
inferredcites →https://doi.org/10.1097/j.pain.0000000000001008openalex-snapshot
Quantitative sensory testing response patterns to capsaicin- and ultraviolet-B–induced local skin hypersensitization in healthy subjects: a machine-learned analysis
inferredcites →https://doi.org/10.1097/jw9.0000000000000010openalex-snapshot
The impact of gender and sex in psoriasis: What to be aware of when treating women with psoriasis
inferredcites →https://doi.org/10.1109/10.623058openalex-snapshot
A patient-adaptable ECG beat classifier using a mixture of experts approach
inferredcites →https://doi.org/10.1111/j.1365-2133.1995.tb02667.xopenalex-snapshot
Increased lysophosphatidylcholine content in lesional psoriatic skin
inferredcites →https://doi.org/10.1111/j.1469-1809.1936.tb02137.xopenalex-snapshot
THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
inferredcites →https://doi.org/10.1111/jdv.19088openalex-snapshot
Lysophosphatidylcholine facilitates the pathogenesis of psoriasis through activating keratinocytes and T cells differentiation via glycolysis
inferredcites →https://doi.org/10.1137/0905052openalex-snapshot
The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses
inferredcites →https://doi.org/10.1155/2010/535612openalex-snapshot
Lipid Disturbances in Psoriasis: An Update
inferredcites →https://doi.org/10.1186/1476-9255-5-17openalex-snapshot
Product inhibition of secreted phospholipase A2 may explain lysophosphatidylcholines' unexpected therapeutic properties
inferredcites →https://doi.org/10.1186/s13148-019-0772-4openalex-snapshot
Machine-learned analysis of global and glial/opioid intersection–related DNA methylation in patients with persistent pain after breast cancer surgery
inferredcites →https://doi.org/10.1186/s41044-018-0032-1openalex-snapshot
Identification of disease-distinct complex biomarker patterns by means of unsupervised machine-learning using an interactive R toolbox (Umatrix)
inferredcites →https://doi.org/10.1210/en.2011-2120openalex-snapshot
Immune Cells Have Sex and So Should Journal Articles
inferredcites →https://doi.org/10.1210/jc.78.4.855openalex-snapshot
Physiological levels of estradiol stimulate plasma high density lipoprotein2 cholesterol levels in normal men
inferredcites →https://doi.org/10.1214/aoms/1177730491openalex-snapshot
On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
inferredcites →https://doi.org/10.1371/journal.pbio.3000870openalex-snapshot
High-coverage plasma lipidomics reveals novel sex-specific lipidomic fingerprints of age and BMI: Evidence from two large population cohort studies
inferredcites →https://doi.org/10.1371/journal.pone.0090279openalex-snapshot
Gene Expression Changes for Antioxidants Pathways in the Mouse Cochlea: Relations to Age-related Hearing Deficits
inferredcites →https://doi.org/10.21037/atm.2018.04.09openalex-snapshot
Molecular mechanisms of mechanotransduction in psoriasis
inferredcites →https://doi.org/10.21203/rs.3.rs-2658032/v1openalex-snapshot
Comparative assessment of projection and clustering method combinations in the analysis of biomedical data
inferredcites →https://doi.org/10.2307/3001968openalex-snapshot
Individual Comparisons by Ranking Methods
inferredcites →https://doi.org/10.3109/08830185.2015.1018417openalex-snapshot
Sex-Driven Differences in Immunological Responses: Challenges and Opportunities for the Immunotherapies of the Third Millennium
inferredcites →https://doi.org/10.3389/fgene.2019.00452openalex-snapshot
Large-Scale Automatic Feature Selection for Biomarker Discovery in High-Dimensional OMICs Data
inferredcites →https://doi.org/10.3389/fgene.2022.1017340openalex-snapshot
Applications of machine learning in metabolomics: Disease modeling and classification
inferredcites →https://doi.org/10.3390/biom15020250openalex-snapshot
Phospholipids and Sphingolipids in Osteoarthritis
inferredcites →https://doi.org/10.3390/biomedicines12081639openalex-snapshot
Revisiting Fold-Change Calculation: Preference for Median or Geometric Mean over Arithmetic Mean-Based Methods
inferredcites →https://doi.org/10.3390/cells11244102openalex-snapshot
Cannabinoid Compounds as a Pharmacotherapeutic Option for the Treatment of Non-Cancer Skin Diseases
inferredcites →https://doi.org/10.3390/data5010013openalex-snapshot
The Fundamental Clustering and Projection Suite (FCPS): A Dataset Collection to Test the Performance of Clustering and Data Projection Algorithms
inferredcites →https://doi.org/10.3390/ijms18061217openalex-snapshot
Machine-Learned Data Structures of Lipid Marker Serum Concentrations in Multiple Sclerosis Patients Differ from Those in Healthy Subjects
inferredcites →https://doi.org/10.3390/ijms20174249openalex-snapshot
Altered Lipid Metabolism in Blood Mononuclear Cells of Psoriatic Patients Indicates Differential Changes in Psoriasis Vulgaris and Psoriatic Arthritis
inferredcites →https://doi.org/10.3390/ijms23095085openalex-snapshot
Machine Learning and Pathway Analysis-Based Discovery of Metabolomic Markers Relating to Chronic Pain Phenotypes
inferredcites →https://doi.org/10.3390/metabo11060375openalex-snapshot
Metabolomics Studies in Psoriatic Disease: A Review
inferredcites →https://doi.org/10.3390/metabo11110713openalex-snapshot
The Hitchhiker’s Guide to Untargeted Lipidomics Analysis: Practical Guidelines
inferredcites →https://doi.org/10.3390/molecules28031192openalex-snapshot
Phytocannabinoids in the Pharmacotherapy of Psoriasis
inferredcites →https://doi.org/10.3390/molecules29225460openalex-snapshot
Oxidative Imbalance in Psoriasis with an Emphasis on Psoriatic Arthritis: Therapeutic Antioxidant Targets
inferredcites →https://doi.org/10.3390/nu15183899openalex-snapshot
The Role of Lipids in the Regulation of Immune Responses
inferredcites →https://doi.org/10.3899/jrheum.220386openalex-snapshot
Sex-Specific Differences in Patients With Psoriatic Arthritis: A Systematic Review
inferredcites →https://doi.org/10.4135/9781071812082.n627openalex-snapshot
Teoria Statistica Delle Classi e Calcolo Delle Probabilità
inferredcites →https://doi.org/10.48550/arxiv.1802.03426openalex-snapshot
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
inferredcites →https://doi.org/10.7150/thno.51154openalex-snapshot
Metabolomic profiling reveals amino acid and carnitine alterations as metabolic signatures in psoriasis
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.