On the public citation graph

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

0 signed · 52 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1007/978-1-4757-3294-8openalex-snapshot
Modeling Survival Data: Extending the Cox Model
inferredcites →https://doi.org/10.1007/s10555-016-9617-1openalex-snapshot
miR clusters target cellular functional complexes by defining their degree of regulatory freedom
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.canlet.2018.05.019openalex-snapshot
MicroRNAs as modulators of T cell functions in cancer
inferredcites →https://doi.org/10.1016/j.cell.2015.05.044openalex-snapshot
Genomic Classification of Cutaneous Melanoma
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/10.1016/j.copbio.2013.09.005openalex-snapshot
Advances in high-throughput single-cell microtechnologies
inferredcites →https://doi.org/10.1016/j.ejca.2012.11.019openalex-snapshot
Resistance to BRAF-targeted therapy in melanoma
inferredcites →https://doi.org/10.1016/j.gdata.2016.02.012openalex-snapshot
A fuzzy based feature selection from independent component subspace for machine learning classification of microarray data
inferredcites →https://doi.org/10.1038/nature06642openalex-snapshot
A skin microRNA promotes differentiation by repressing ‘stemness’
inferredcites →https://doi.org/10.1038/nature12213openalex-snapshot
Mutational heterogeneity in cancer and the search for new cancer-associated genes
inferredcites →https://doi.org/10.1038/nature22071openalex-snapshot
Whole-genome landscapes of major melanoma subtypes
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/nmeth.3337openalex-snapshot
Robust enumeration of cell subsets from tissue expression profiles
inferredcites →https://doi.org/10.1038/nrc3760openalex-snapshot
Targeting RAF kinases for cancer therapy: BRAF-mutated melanoma and beyond
inferredcites →https://doi.org/10.1038/nrclinonc.2017.43openalex-snapshot
Targeted agents and immunotherapies: optimizing outcomes in melanoma
inferredcites →https://doi.org/10.1038/nrdp.2015.3openalex-snapshot
Melanoma
inferredcites →https://doi.org/10.1038/onc.2013.523openalex-snapshot
Upregulation of the microRNA cluster at the Dlk1-Dio3 locus in lung adenocarcinoma
inferredcites →https://doi.org/10.1038/sj.tpj.6500240openalex-snapshot
Comparison of different isolation techniques prior gene expression profiling of blood derived cells: impact on physiological responses, on overall expression and the role of different cell types
inferredcites →https://doi.org/10.1073/pnas.0905139106openalex-snapshot
Immune profile and mitotic index of metastatic melanoma lesions enhance clinical staging in predicting patient survival
inferredcites →https://doi.org/10.1073/pnas.1323934111openalex-snapshot
Intratumor heterogeneity alters most effective drugs in designed combinations
inferredcites →https://doi.org/10.1073/pnas.1422916112openalex-snapshot
miR-155 augments CD8 + T-cell antitumor activity in lymphoreplete hosts by enhancing responsiveness to homeostatic γ c cytokines
inferredcites →https://doi.org/10.1074/jbc.m117.808121openalex-snapshot
Antitumor immunity is defective in T cell–specific microRNA-155–deficient mice and is rescued by immune checkpoint blockade
inferredcites →https://doi.org/10.1093/bioinformatics/btt014openalex-snapshot
miRCancer: a microRNA–cancer association database constructed by text mining on literature
inferredcites →https://doi.org/10.1093/molbev/msw089openalex-snapshot
microRNAs in the Same Clusters Evolve to Coordinately Regulate Functionally Related Genes
inferredcites →https://doi.org/10.1093/nar/gks1471openalex-snapshot
Interplay of microRNAs, transcription factors and target genes: linking dynamic expression changes to function
inferredcites →https://doi.org/10.1093/nar/gkw377openalex-snapshot
Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
inferredcites →https://doi.org/10.1093/nar/gkw937openalex-snapshot
The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible
inferredcites →https://doi.org/10.1093/nar/gkx1067openalex-snapshot
miRTarBase update 2018: a resource for experimentally validated microRNA-target interactions
inferredcites →https://doi.org/10.1101/118349openalex-snapshot
Cross-Platform Normalization Enables Machine Learning Model Training On Microarray And RNA-Seq Data Simultaneously
inferredcites →https://doi.org/10.1101/318154openalex-snapshot
Stabilized Independent Component Analysis outperforms other methods in finding reproducible signals in tumoral transcriptomes
inferredcites →https://doi.org/10.1109/72.761722openalex-snapshot
Fast and robust fixed-point algorithms for independent component analysis
inferredcites →https://doi.org/10.1111/pcmr.12459openalex-snapshot
The genomic landscape of cutaneous melanoma
inferredcites →https://doi.org/10.1126/science.1254257openalex-snapshot
Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
inferredcites →https://doi.org/10.1126/science.aad0501openalex-snapshot
Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
inferredcites →https://doi.org/10.1158/1078-0432.ccr-09-2721openalex-snapshot
Melanoma MicroRNA Signature Predicts Post-Recurrence Survival
inferredcites →https://doi.org/10.1161/circresaha.114.304747openalex-snapshot
Inhibition of 14q32 MicroRNAs miR-329, miR-487b, miR-494, and miR-495 Increases Neovascularization and Blood Flow Recovery After Ischemia
inferredcites →https://doi.org/10.1177/154405910408300516openalex-snapshot
Indian Hedgehog: A Mechanotransduction Mediator in Condylar Cartilage
inferredcites →https://doi.org/10.1186/1476-4598-11-44openalex-snapshot
Silencing of a large microRNA cluster on human chromosome 14q32 in melanoma: biological effects of mir-376a and mir-376c on insulin growth factor 1 receptor
inferredcites →https://doi.org/10.1186/1745-6150-8-10openalex-snapshot
Genome-wide analysis reveals downregulation of miR-379/miR-656 cluster in human cancers
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/gb-2010-11-10-r106openalex-snapshot
Differential expression analysis for sequence count data
inferredcites →https://doi.org/10.1186/gm433openalex-snapshot
Computational purification of individual tumor gene expression profiles leads to significant improvements in prognostic prediction
inferredcites →https://doi.org/10.1186/s12864-017-3819-yopenalex-snapshot
RNA sequencing and transcriptome arrays analyses show opposing results for alternative splicing in patient derived samples
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/10.1371/journal.pcbi.0030161openalex-snapshot
Elucidating the Altered Transcriptional Programs in Breast Cancer using Independent Component Analysis
inferredcites →https://doi.org/10.1371/journal.pone.0095224openalex-snapshot
Two-Stage, In Silico Deconvolution of the Lymphocyte Compartment of the Peripheral Whole Blood Transcriptome in the Context of Acute Kidney Allograft Rejection
inferredcites →https://doi.org/10.18632/oncotarget.13133openalex-snapshot
Deregulation of small non-coding RNAs at the DLK1-DIO3 imprinted locus predicts lung cancer patient outcome
inferredcites →https://doi.org/10.18632/oncotarget.3998openalex-snapshot
Identification of a chrXq27.3 microRNA cluster associated with early relapse in advanced stage ovarian cancer patients
inferredcites →https://doi.org/10.18632/oncotarget.401openalex-snapshot
Identification of a chrXq27.3 microRNA cluster associated with early relapse in advanced stage ovarian cancer patients

What points at this work

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

inferred← citeshttps://doi.org/10.3390/electronics10222840openalex-snapshot
Detection of Mental Stress through EEG Signal in Virtual Reality Environment
inferred← citeshttps://doi.org/10.3390/ijms20184414openalex-snapshot
Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets
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.