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Cancer Informatics

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Editor in Chief: J. T. Efird

Indexing & Databases: Pubmed, Directory of Open Access Journals, EBSCO Academic Search International, EMBase, Gale Academic OneFile, Gale Health Reference Centre, Gale InfoTrac Custom Journals, Illustrata-Natural Science, ProQuest Biological Sciences, ProQuest Natural Sciences, ProQuest SciTech, ProQuest Technology, Pubmed Central, SCOPUS

Journal Directories: EBSCO A-Z, HINARI

Processing Speed: Blind peer review by minimum of two expert reviewers and independent editorial decision within three to four weeks. Publication within average four weeks following acceptance.

ISSN: 1176-9351

H Index: 17 more info



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Bias, Randomization, and Ovarian Proteomic Data: A Reply to "Producers and Consumers" (Published on 26 Feb 2007)

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Application of a New Probabilistic Model for Mining Implicit Associated Cancer Genes from OMIM and Medline (Published on 25 Feb 2007)

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Design of Early Validation Trials of Biomarkers (Published on 25 Feb 2007)

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Detecting Outlier Microarray Arrays by Correlation and Percentage of Outliers Spots (Published on 24 Feb 2007)

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Proteomics: Analysis of Spectral Data (Published on 24 Feb 2007)

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An Empirical Study of Univariate and Genetic Algorithm-Based Feature Selection in Binary Classification with Microarray Data (Published on 23 Feb 2007)

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Characterising phase variations in MALDI-TOF data and correcting them by peak alignment (Published on 23 Feb 2007)

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A Hybrid Approach for Biomarker Discovery from Microarray Gene Expression Data for Cancer Classification (Published on 22 Feb 2007)

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Impact of Freeze-thaw Cycles and Storage Time on Plasma Samples Used in Mass Spectrometry Based Biomarker Discovery Projects (Published on 22 Feb 2007)

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Integrative Analysis of Gene Expression Data Including an Assessment of Pathway Enrichment for Predicting Prostate Cancer (Published on 21 Feb 2007)

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Assessing the Statistical Significance of the Achieved Classification Error of Classifiers Constructed using Serum Peptide Profiles, and a Prescription for Random Sampling Repeated Studies for Massive High-Throughput Genomic and Proteomic Studies (Published on 21 Feb 2007)

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Heterogeneous Biomedical Database Integration Using a Hybrid Strategy: A p53 Cancer Research Database (Published on 20 Feb 2007)

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Novel approaches to smoothing and comparing SELDI TOF spectra (Published on 20 Feb 2007)

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Data Perturbation Independent Diagnosis and Validation of Breast Cancer Subtypes Using Clustering and Patterns (Published on 19 Feb 2007)

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The Need for Review and Understanding of SELDI/MALDI Mass Spectroscopy Data Prior to Analysis (Published on 19 Feb 2007)

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Construction and Clarification of Dynamic Gene Regulatory Network of Cancer Cell Cycle via Microarray Data (Published on 18 Feb 2007)

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Understanding the characteristics of mass spectrometry data through the use of simulation (Published on 18 Feb 2007)

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Tumor Growth Rate Approximation-Assisted Estimation (Published on 17 Feb 2007)

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A mathematical model for the onset of avascular tumor growth in response to the loss of p53 function (Published on 17 Feb 2007)

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Ovarian Cancer Classification based on Mass Spectrometry Analysis of Sera (Published on 17 Feb 2007)

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On the Number of Close-to-Optimal Feature Sets (Published on 16 Feb 2007)

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Challenges in the Analysis of Mass-Throughput Data: A Technical Commentary from the Statistical Machine Learning Perspective (Published on 16 Feb 2007)

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Applying a 4D multiscale in vivo tumor growth model to the exploration of radiotherapy scheduling: The effects of weekend treatment gaps and p53 gene status on the response of fast growing solid tumors (Published on 16 Feb 2007)

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Databases and QSAR for Cancer Research (Published on 15 Feb 2007)

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Merging microarray data, robust feature selection, and predicting prognosis in prostate cancer (Published on 14 Feb 2007)

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Spotlight on Cancer Informatics: Georgios S Stamatakos, PhD (Published on 13 Feb 2007)

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Dedication: Chiara Silvestrini (Published on 12 Feb 2007)

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PubMed QUEST: The PubMed Query Search Tool. An informatics tool to aid cancer centers and cancer investigators in searching the PubMed databases (Published on 12 Feb 2007)

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Applications of Machine Learning in Cancer Prediction and Prognosis (Published on 11 Feb 2007)

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Data Mining for Gene Networks Relevant to Poor Prognosis in Lung Cancer via Backward-Chaining Rule Induction (Published on 10 Feb 2007)

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Computational Methods for the Analysis of Array Comparative Genomic Hybridization (Published on 10 Feb 2007)

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Identification and Characterization of Renal Cell Carcinoma Gene Markers (Published on 09 Feb 2007)

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Multi-marker testing for cancer: what can we learn from modern prenatal testing for Trisomy-21 (Published on 09 Feb 2007)

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CGHregions: Dimension Reduction for Array CGH Data with Minimal Information Loss (Published on 08 Feb 2007)

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aCGHViewer: A Generic Visualization Tool For aCGH data (Published on 08 Feb 2007)

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Gamma-Normal-Gamma Mixture Model for Detecting Differentially Methylated Loci in Three Breast Cancer Cell Lines (Published on 07 Feb 2007)

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Bioinformatics resources for cancer research with an emphasis on gene function and structure prediction tools (Published on 07 Feb 2007)

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Statistical Redundancy Testing for Improved Gene Selection in Cancer Classification Using Microarray Data (Published on 06 Feb 2007)

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Cancer Informatics Vision: caBIG (Published on 06 Feb 2007)

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Identifying Biomarkers from Mass Spectrometry Data with Ordinal Outcome (Published on 05 Feb 2007)

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Magellan: A Web Based System for the Integrated Analysis of Heterogeneous Biological Data and Annotations; Application to DNA Copy Number and Expression Data in Ovarian Cancer (Published on 05 Feb 2007)

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Analysis of Gene Expression Data Using BRB-Array Tools (Published on 04 Feb 2007)

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Spotlight on Cancer Informatics: Constantin Alifieris, M.D., Ph.D. (Published on 04 Feb 2007)

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Asterias: A Parallelized Web-based Suite for the Analysis of Expression and aCGH Data (Published on 03 Feb 2007)

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Biomarker Development Study Publication Standards are Dead - Long Live Biomarker Development Study Publication Standards! (Published on 03 Feb 2007)

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What Your Colleagues Say About Cancer Informatics
I would like to extend my gratitude for creating the next generation of a scientific journal -- the science journal of tomorrow. The entire process bespoke of exceptional efficiency, celerity, professionalism, competency, and service.
Dr Jason B. Nikas (Medical School University of Minnesota, Minneapolis, MN, USA)
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