On the public citation graph

On triangular inequalities of correlation-based distances for gene expression profiles

https://doi.org/10.1101/582106
0 signed · 30 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-04277-5_18openalex-snapshot
On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification
inferredcites →https://doi.org/10.1007/978-3-642-13529-3_8openalex-snapshot
TI-DBSCAN: Clustering with DBSCAN by Means of the Triangle Inequality
inferredcites →https://doi.org/10.1007/978-3-642-21916-0_31openalex-snapshot
The Impact of Triangular Inequality Violations on Medoid-Based Clustering
inferredcites →https://doi.org/10.1016/0031-3203(94)00091-3openalex-snapshot
Fast clustering algorithms for vector quantization
inferredcites →https://doi.org/10.1016/j.jmva.2007.07.002openalex-snapshot
Dissolution point and isolation robustness: Robustness criteria for general cluster analysis methods
inferredcites →https://doi.org/10.1016/s0022-0981(03)00091-1openalex-snapshot
Analysis of Ecological Communities
inferredcites →https://doi.org/10.1038/nmeth.3252openalex-snapshot
Orchestrating high-throughput genomic analysis with Bioconductor
inferredcites →https://doi.org/10.1073/pnas.0304146101openalex-snapshot
Gene expression profiling identifies clinically relevant subtypes of prostate cancer
inferredcites →https://doi.org/10.1073/pnas.95.25.14863openalex-snapshot
Cluster analysis and display of genome-wide expression patterns
inferredcites →https://doi.org/10.1080/03610917408548446openalex-snapshot
A Dendrite Method for Cluster Analysis
inferredcites →https://doi.org/10.1080/03610927408827101openalex-snapshot
A dendrite method for cluster analysis
inferredcites →https://doi.org/10.1093/bioinformatics/btg025openalex-snapshot
Comparisons and validation of statistical clustering techniques for microarray gene expression data
inferredcites →https://doi.org/10.1093/bioinformatics/bti1022openalex-snapshot
Clustering short time series gene expression data
inferredcites →https://doi.org/10.1093/bioinformatics/btl567openalex-snapshot
Using GOstats to test gene lists for GO term association
inferredcites →https://doi.org/10.1109/tcbb.2013.9openalex-snapshot
Proximity Measures for Clustering Gene Expression Microarray Data: A Validation Methodology and a Comparative Analysis
inferredcites →https://doi.org/10.1126/science.42.1074.161openalex-snapshot
The Proceedings of the National Academy of Sciences
inferredcites →https://doi.org/10.1186/1471-2105-13-113openalex-snapshot
Molecular ecological network analyses
inferredcites →https://doi.org/10.1186/1471-2105-15-s2-s2openalex-snapshot
On the selection of appropriate distances for gene expression data clustering
inferredcites →https://doi.org/10.1186/1471-2105-8-220openalex-snapshot
A robust measure of correlation between two genes on a microarray
inferredcites →https://doi.org/10.1186/1471-2105-9-497openalex-snapshot
Clustering cancer gene expression data: a comparative study
inferredcites →https://doi.org/10.1186/1471-2105-9-559openalex-snapshot
WGCNA: an R package for weighted correlation network analysis
inferredcites →https://doi.org/10.2307/2290430openalex-snapshot
Finding Groups in Data: An Introduction to Cluster Analysis.
inferredcites →https://doi.org/10.48550/arxiv.1208.3145openalex-snapshot
Metric distances derived from cosine similarity and Pearson and Spearman correlations
inferredcites →https://doi.org/10.5860/choice.28-4558openalex-snapshot
Finding groups in data: an introduction to cluster analysis
inferredcites →https://doi.org/10.6026/97320630001083openalex-snapshot
GEDAS – Gene Expression Data Analysis Suite
inferredcites →https://doi.org/10.7916/d8g15zbpopenalex-snapshot
ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118065openalex-snapshot
Enhanced mass Jensen–Shannon divergence for information fusion
inferred← citeshttps://doi.org/10.1093/bioinformatics/btaa654openalex-snapshot
An information-theoretic approach for measuring the distance of organ tissue samples using their transcriptomic signatures
inferred← citeshttps://doi.org/10.1093/intqhc/mzab050openalex-snapshot
Comparing length of hospital stay during COVID-19 pandemic in the USA, Italy and Germany
inferred← citeshttps://doi.org/10.1101/2020.07.08.194019openalex-snapshot
Unlocking the Predictive Power of Heterogeneous Data to Build an Operational Dengue Forecasting System
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.