On the public citation graph

Stabilized Independent Component Analysis outperforms other methods in finding reproducible signals in tumoral transcriptomes

0 signed · 38 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1002/0471221317openalex-snapshot

Independent Component Analysis

inferredcites →https://doi.org/10.1006/jmbi.1998.2144openalex-snapshot

Predicting function: from genes to genomes and back 1 1Edited by P. E. Wright

inferredcites →https://doi.org/10.1006/jmre.1998.1639openalex-snapshot

A New Method for Spectral Decomposition Using a Bilinear Bayesian Approach

inferredcites →https://doi.org/10.1016/j.bbrc.2012.12.043openalex-snapshot

Blind source separation methods for deconvolution of complex signals in cancer biology

inferredcites →https://doi.org/10.1016/j.celrep.2014.10.035openalex-snapshot

Independent Component Analysis Uncovers the Landscape of the Bladder Tumor Transcriptome and Reveals Insights into Luminal and Basal Subtypes

inferredcites →https://doi.org/10.1038/44565openalex-snapshot

Learning the parts of objects by non-negative matrix factorization

inferredcites →https://doi.org/10.1038/ncomms15107openalex-snapshot

Selective analysis of cancer-cell intrinsic transcriptional traits defines novel clinically relevant subtypes of colorectal cancer

inferredcites →https://doi.org/10.1038/ncomms3612openalex-snapshot

Inferring tumour purity and stromal and immune cell admixture from expression data

inferredcites →https://doi.org/10.1038/ng.3224openalex-snapshot

Stromal contribution to the colorectal cancer transcriptome

inferredcites →https://doi.org/10.1038/ng.3818openalex-snapshot

Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors

inferredcites →https://doi.org/10.1038/nm.3967openalex-snapshot

The consensus molecular subtypes of colorectal cancer

inferredcites →https://doi.org/10.1038/nmeth.3799openalex-snapshot

Tissue-specific regulatory circuits reveal variable modular perturbations across complex diseases

inferredcites →https://doi.org/10.1038/s41540-017-0038-8openalex-snapshot

Classification of gene signatures for their information value and functional redundancy

inferredcites →https://doi.org/10.1038/sj.onc.1207562openalex-snapshot

Independent component analysis of microarray data in the study of endometrial cancer

inferredcites →https://doi.org/10.1073/pnas.0308531101openalex-snapshot

Metagenes and molecular pattern discovery using matrix factorization

inferredcites →https://doi.org/10.1073/pnas.0506580102openalex-snapshot

Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

inferredcites →https://doi.org/10.1073/pnas.0808904106openalex-snapshot

Extracting the multiscale backbone of complex weighted networks

inferredcites →https://doi.org/10.1093/bib/bbv108openalex-snapshot

Dimension reduction techniques for the integrative analysis of multi-omics data

inferredcites →https://doi.org/10.1093/bioinformatics/18.4.566openalex-snapshot

Application of Bayesian Decomposition for analysing microarray data

inferredcites →https://doi.org/10.1093/bioinformatics/btr260openalex-snapshot

Molecular signatures database (MSigDB) 3.0

inferredcites →https://doi.org/10.1093/bioinformatics/btu375openalex-snapshot

Preserving biological heterogeneity with a permuted surrogate variable analysis for genomics batch correction

inferredcites →https://doi.org/10.1093/nar/gkp427openalex-snapshot

ToppGene Suite for gene list enrichment analysis and candidate gene prioritization

inferredcites →https://doi.org/10.1109/cibcb.2012.6217256openalex-snapshot

Matrix factorization for transcriptional regulatory network inference

inferredcites →https://doi.org/10.1126/science.278.5338.631openalex-snapshot

A Genomic Perspective on Protein Families

inferredcites →https://doi.org/10.1126/science.aah4573openalex-snapshot

Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors

inferredcites →https://doi.org/10.1126/scitranslmed.3006112openalex-snapshot

Systematic Analysis of Challenge-Driven Improvements in Molecular Prognostic Models for Breast Cancer

inferredcites →https://doi.org/10.1186/gb-2003-4-11-r76openalex-snapshot

Application of independent component analysis to microarrays

inferredcites →https://doi.org/10.1186/s12864-016-3435-2openalex-snapshot

Meta-analysis reveals conserved cell cycle transcriptional network across multiple human cell types

inferredcites →https://doi.org/10.1186/s12864-017-4112-9openalex-snapshot

Determining the optimal number of independent components for reproducible transcriptomic data analysis

inferredcites →https://doi.org/10.1186/s13059-017-1349-1openalex-snapshot

xCell: digitally portraying the tissue cellular heterogeneity landscape

inferredcites →https://doi.org/10.1186/s13073-016-0319-7openalex-snapshot

Extracting a low-dimensional description of multiple gene expression datasets reveals a potential driver for tumor-associated stroma in ovarian cancer

inferredcites →https://doi.org/10.1201/b12677openalex-snapshot

Computational Systems Biology of Cancer

inferredcites →https://doi.org/10.1371/journal.pcbi.1002920openalex-snapshot

Biomolecular Events in Cancer Revealed by Attractor Metagenes

inferredcites →https://doi.org/10.17615/hvp3-wg08openalex-snapshot

Integrated genomic analyses of ovarian carcinoma

inferredcites →https://doi.org/10.2144/000112950openalex-snapshot

A Review of Independent Component Analysis Application to Microarray Gene Expression Data

inferredcites →https://doi.org/10.3389/fgene.2016.00018openalex-snapshot

ROMA: Representation and Quantification of Module Activity from Target Expression Data

inferredcites →https://doi.org/10.7551/mitpress/3717.003.0014openalex-snapshot

Independent Component Analysis

What points at this work

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

inferred← citeshttps://doi.org/10.1101/395145openalex-snapshot

Independent component analysis provides clinically relevant insights into the biology of melanoma patients

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.