SAGE

Cancer Informatics Template

Write in a clean editor, then format for Cancer Informatics in one click — DocuGuru applies the official SAGE template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Cancer Informatics format

Cancer Informatics is a peer-reviewed journal published by SAGE, covering Gene expression and cancer classification, Bioinformatics and Genomic Networks, Cancer Genomics and Diagnostics.

PublisherSAGE
Reference styleAuthor–year (Harvard)
Author–year — (Smith, 2023) in the text
Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Cancer Informatics, 12(3), pp. 45–58.

Formats any DOI in Cancer Informatics style. No sign-up.

Publishes research inGene expression and cancer classification Bioinformatics and Genomic Networks Cancer Genomics and Diagnostics Ferroptosis and cancer prognosis Molecular Biology Techniques and Applications
ISSN1176-9351
Citation impact (2-yr)1.33
h-index49
i10-index293
Total citations13,150
Article processing charge$1,848
Open accessYes
Top institutions publishing hereThe University of Texas MD Anderson Cancer Center
Journal websiteinsights.sagepub.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Cancer Informatics per year

111
2014
76
2015
34
2016
35
2017
22
2018
34
2019
18
2020
19
2021
40
2022
36
2023
23
2024
26
2025

Citation impact of Cancer Informatics by publication year

2.2K
2014
1.3K
2015
419
2016
486
2017
357
2018
727
2019
251
2020
301
2021
464
2022
282
2023
72
2024
25
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Cancer Informatics

Applications of Machine Learning in Cancer Prediction and Prognosis

Joseph A. Cruz, David S. Wishart · 1 Jan 2006

Machine learning is a branch of artificial intelligence that employs a variety of statistical, probabilistic and optimization techniques that allows computers to “learn” from past examples and to detect hard-to-discern patterns from large, noisy or complex data sets. This capability is particularly well-suited to medical applications, especially those that depend on complex proteomic and genomic…

1,104 citations Cite SaveGo to paper →
Analysis of Gene Expression Data Using BRB-Array Tools

Richard Simon, Amy Lam, Ming‐Chung Li et al. · 1 Jan 2007

BRB-ArrayTools is an integrated software system for the comprehensive analysis of DNA microarray experiments. It was developed by professional biostatisticians experienced in the design and analysis of DNA microarray studies and incorporates methods developed by leading statistical laboratories. The software is designed for use by biomedical scientists who wish to have access to state-of-the-art statistical…

TNBCtype: A Subtyping Tool for Triple-Negative Breast Cancer

Xi Chen, Jiang Li, W.H. Gray et al. · 1 Jan 2012

MOTIVATION: Triple-negative breast cancer (TNBC) is a heterogeneous breast cancer group, and identification of molecular subtypes is essential for understanding the biological characteristics and clinical behaviors of TNBC as well as for developing personalized treatments. Based on 3,247 gene expression profiles from 21 breast cancer data sets, we discovered six TNBC subtypes from 587 TNBC…

Uncovering Biological Network Function via Graphlet Degree Signatures

Tijana Milenković, Nataša Pržulj · 1 Jan 2008

Motivation Proteins are essential macromolecules of life and thus understanding their function is of great importance. The number of functionally unclassified proteins is large even for simple and well studied organisms such as baker's yeast. Methods for determining protein function have shifted their focus from targeting specific proteins based solely on sequence homology to analyses…

Assessment of Weighted Quantile Sum Regression for Modeling Chemical Mixtures and Cancer Risk

Jenna Czarnota, Chris Gennings, David C. Wheeler · 1 Jan 2015

In evaluation of cancer risk related to environmental chemical exposures, the effect of many chemicals on disease is ultimately of interest. However, because of potentially strong correlations among chemicals that occur together, traditional regression methods suffer from collinearity effects, including regression coefficient sign reversal and variance inflation. In addition, penalized regression methods designed to remediate…

Cancer Informatics template — frequently asked questions

How do I write a paper in the Cancer Informatics format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Cancer Informatics template. When you export, DocuGuru compiles the paper into the official SAGE format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Cancer Informatics use?
Cancer Informatics uses Author–year (Harvard) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Cancer Informatics, 12(3), pp. 45–58.
Do I need to know LaTeX to submit to Cancer Informatics?
No. DocuGuru generates the sagej LaTeX class and compiles the PDF for you in the background, so you get a SAGE-ready Cancer Informatics document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Cancer Informatics template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Cancer Informatics format with correct headings, figures, tables, and author–year citations.
Who publishes Cancer Informatics?
Cancer Informatics is a multidisciplinary journal published by SAGE. DocuGuru's Cancer Informatics template matches SAGE's official submission format.
Can I export a submission-ready Cancer Informatics PDF?
Yes — DocuGuru produces a PDF built with the official Cancer Informatics template (the sagej class) that is ready to submit to SAGE, together with the matching LaTeX source files.
How much does the Cancer Informatics template cost?
You can start writing in the Cancer Informatics template for free. Exporting the final submission-ready Cancer Informatics PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
Use the Cancer Informatics template