On the public citation graph

Robust classification of Immune Subtypes in Cancer

0 signed · 40 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1007/978-1-4419-7046-6_3openalex-snapshot
Top Scoring Pair Decision Tree for Gene Expression Data Analysis
inferredcites →https://doi.org/10.1007/s003579900058openalex-snapshot
MCLUST: Software for Model-Based Cluster Analysis
inferredcites →https://doi.org/10.1016/j.cell.2018.03.022openalex-snapshot
Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer
inferredcites →https://doi.org/10.1016/j.eururo.2011.01.004openalex-snapshot
Accurate Molecular Classification of Kidney Cancer Subtypes Using MicroRNA Signature
inferredcites →https://doi.org/10.1016/j.immuni.2018.03.023openalex-snapshot
The Immune Landscape of Cancer
inferredcites →https://doi.org/10.1023/a:1023949509487openalex-snapshot
Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data
inferredcites →https://doi.org/10.1038/nbt.3519openalex-snapshot
Near-optimal probabilistic RNA-seq quantification
inferredcites →https://doi.org/10.1038/pcan.2010.9openalex-snapshot
Usefulness of the top-scoring pairs of genes for prediction of prostate cancer progression
inferredcites →https://doi.org/10.1093/bioinformatics/btp126openalex-snapshot
The tspair package for finding top scoring pair classifiers in R
inferredcites →https://doi.org/10.1093/bioinformatics/btu622openalex-snapshot
switchBox: an R package for k–Top Scoring Pairs classifier development
inferredcites →https://doi.org/10.1093/bioinformatics/btv377openalex-snapshot
Alternative preprocessing of RNA-Sequencing data in The Cancer Genome Atlas leads to improved analysis results
inferredcites →https://doi.org/10.1093/nar/gks1193openalex-snapshot
NCBI GEO: archive for functional genomics data sets—update
inferredcites →https://doi.org/10.1093/nar/gky955openalex-snapshot
GENCODE reference annotation for the human and mouse genomes
inferredcites →https://doi.org/10.1093/nar/gkz114openalex-snapshot
The R package Rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads
inferredcites →https://doi.org/10.1101/326470openalex-snapshot
The UCSC Xena platform for public and private cancer genomics data visualization and interpretation
inferredcites →https://doi.org/10.1109/acssc.2017.8335365openalex-snapshot
Bayesian top scoring pairs for feature selection
inferredcites →https://doi.org/10.1109/icmla.2008.152openalex-snapshot
Microarray Classification from Several Two-Gene Expression Comparisons
inferredcites →https://doi.org/10.1145/2939672.2939785openalex-snapshot
XGBoost
inferredcites →https://doi.org/10.1186/1471-2105-12-323openalex-snapshot
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
inferredcites →https://doi.org/10.1186/1471-2105-9-559openalex-snapshot
WGCNA: an R package for weighted correlation network analysis
inferredcites →https://doi.org/10.1371/journal.pone.0014305openalex-snapshot
Improving Cancer Classification Accuracy Using Gene Pairs
inferredcites →https://doi.org/10.2202/1544-6115.1071openalex-snapshot
Classifying Gene Expression Profiles from Pairwise mRNA Comparisons
inferredcites →https://doi.org/10.32614/rj-2016-021openalex-snapshot
mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models

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.ajpath.2025.01.013openalex-snapshot
Interferon-γ/Janus Kinase 1/STAT1 Signaling Represses Forkhead Box A1 and Drives a Basal Transcriptional State in Muscle-Invasive Bladder Cancer
inferred← citeshttps://doi.org/10.1016/j.cell.2021.07.016openalex-snapshot
A proteogenomic portrait of lung squamous cell carcinoma
inferred← citeshttps://doi.org/10.1016/j.cell.2023.07.013openalex-snapshot
Pan-cancer analysis of post-translational modifications reveals shared patterns of protein regulation
inferred← citeshttps://doi.org/10.1016/j.cell.2024.01.027openalex-snapshot
Pan-cancer proteogenomics characterization of tumor immunity
inferred← citeshttps://doi.org/10.1016/j.celrep.2023.112879openalex-snapshot
Polyclonal lymphoid expansion drives paraneoplastic autoimmunity in neuroblastoma
inferred← citeshttps://doi.org/10.1016/j.crmeth.2024.100708openalex-snapshot
Decomprolute is a benchmarking platform designed for multiomics-based tumor deconvolution
inferred← citeshttps://doi.org/10.1038/s41467-024-47932-yopenalex-snapshot
Longitudinal molecular profiling elucidates immunometabolism dynamics in breast cancer
inferred← citeshttps://doi.org/10.1038/s41590-026-02505-7openalex-snapshot
Differential assembly of mouse and human tumor microenvironments
inferred← citeshttps://doi.org/10.1093/bib/bbac554openalex-snapshot
Personalized immune subtypes based on machine learning predict response to checkpoint blockade in gastric cancer
inferred← citeshttps://doi.org/10.1093/nar/gkac1006openalex-snapshot
TIMEDB: tumor immune micro-environment cell composition database with automatic analysis and interactive visualization
inferred← citeshttps://doi.org/10.1101/2024.07.11.603136openalex-snapshot
Mapping the genetic landscape establishing a tumor immune microenvironment favorable for anti-PD-1 response in mice and humans
inferred← citeshttps://doi.org/10.1136/jitc-2022-sitc2022.0927openalex-snapshot
927 Streamlining cancer immunotherapy research with the CRI iAtlas data resource and web portal
inferred← citeshttps://doi.org/10.1186/s12890-022-01902-6openalex-snapshot
An immune-related nomogram model that predicts the overall survival of patients with lung adenocarcinoma
inferred← citeshttps://doi.org/10.12688/f1000research.25141.1openalex-snapshot
CRI iAtlas: an interactive portal for immuno-oncology research
inferred← citeshttps://doi.org/10.3390/cancers15225455openalex-snapshot
Revealing Pan-Histology Immunomodulatory Targets in Pediatric Central Nervous System Tumors
inferred← citeshttps://doi.org/10.3390/cancers17030445openalex-snapshot
Robust Cluster Prediction Across Data Types Validates Association of Sex and Therapy Response in GBM
inferred← citeshttps://doi.org/10.3390/life14081004openalex-snapshot
The Mclust Analysis of Tumor Budding Unveils the Role of the Collagen Family in Cervical Cancer Progression
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.