Applications of Bioinformatics in Cancer

This series of 25 articles (22 original articles, 3 reviews) is presented by international leaders in bioinformatics and biostatistics [...].

[1]  G. Glazko,et al.  Nucleotide Weight Matrices Reveal Ubiquitous Mutational Footprints of AID/APOBEC Deaminases in Human Cancer Genomes , 2019, Cancers.

[2]  Bradley Efron,et al.  False Discovery Rate Control , 2010 .

[3]  Shuangge Ma,et al.  Examination of Independent Prognostic Power of Gene Expressions and Histopathological Imaging Features in Cancer , 2019, Cancers.

[4]  J. Godet,et al.  Pathological and Molecular Characteristics of Colorectal Cancer with Brain Metastases , 2018, Cancers.

[5]  K. Kuo,et al.  Developing a Prognostic Gene Panel of Epithelial Ovarian Cancer Patients by a Machine Learning Model , 2019, Cancers.

[6]  Qian Liu,et al.  Association Analysis of Deep Genomic Features Extracted by Denoising Autoencoders in Breast Cancer , 2019, Cancers.

[7]  Xiaomin Tang,et al.  The Potential Mechanism of Bufadienolide-Like Chemicals on Breast Cancer via Bioinformatics Analysis , 2019, Cancers.

[8]  M. Fanciulli,et al.  Reverse Engineering Cancer: Inferring Transcriptional Gene Signatures from Copy Number Aberrations with ICAro , 2019, Cancers.

[9]  Shuangge Ma,et al.  Histopathological Imaging–Environment Interactions in Cancer Modeling , 2019, Cancers.

[10]  Zhongwei Li,et al.  Validation of miRNAs as Breast Cancer Biomarkers with a Machine Learning Approach , 2019, Cancers.

[11]  L. De Cecco,et al.  Mining of Self-Organizing Map Gene-Expression Portraits Reveals Prognostic Stratification of HPV-Positive Head and Neck Squamous Cell Carcinoma , 2019, Cancers.

[12]  Sung Young Kim,et al.  Personalized Prediction of Acquired Resistance to EGFR-Targeted Inhibitors Using a Pathway-Based Machine Learning Approach , 2019, Cancers.

[13]  Yan Li,et al.  Network Pharmacology to Unveil the Biological Basis of Health-Strengthening Herbal Medicine in Cancer Treatment , 2018, Cancers.

[14]  Jasjit S Suri,et al.  A Review on a Deep Learning Perspective in Brain Cancer Classification , 2019, Cancers.

[15]  Yuna Blum,et al.  Prognostic Biomarkers in Pancreatic Cancer: Avoiding Errata When Using the TCGA Dataset , 2019, Cancers.

[16]  Kevin He,et al.  False Discovery Rate Control in Cancer Biomarker Selection Using Knockoffs , 2019, Cancers.

[17]  A. Slusher,et al.  Insights into Telomerase/hTERT Alternative Splicing Regulation Using Bioinformatics and Network Analysis in Cancer , 2019, Cancers.

[18]  Bairong Shen,et al.  Potential Applications of DNA, RNA and Protein Biomarkers in Diagnosis, Therapy and Prognosis for Colorectal Cancer: A Study from Databases to AI-Assisted Verification , 2019, Cancers.

[19]  Zhitong Bing,et al.  Observed Survival Interval: A Supplement to TCGA Pan-Cancer Clinical Data Resource , 2019, Cancers.

[20]  B. Shia,et al.  Predicting 90-Day Mortality in Locoregionally Advanced Head and Neck Squamous Cell Carcinoma after Curative Surgery , 2018, Cancers.

[21]  Fabio Massimo Zanzotto,et al.  Breast Cancer Prognosis Using a Machine Learning Approach , 2019, Cancers.

[22]  Ahsen U. Ahmed,et al.  Genomic Profiling of the Steroidogenic Acute Regulatory Protein in Breast Cancer: In Silico Assessments and a Mechanistic Perspective , 2019, Cancers.

[23]  M. Libra,et al.  Identification of Novel MicroRNAs and Their Diagnostic and Prognostic Significance in Oral Cancer , 2019, Cancers.

[24]  Chiang-Ching Huang,et al.  Bioinformatics Analysis for Circulating Cell-Free DNA in Cancer , 2019, Cancers.

[25]  A. Grosso,et al.  A Systematic Pan-Cancer Analysis of Genetic Heterogeneity Reveals Associations with Epigenetic Modifiers , 2019, Cancers.

[26]  Maximilian Fuchs,et al.  A Toolbox for Functional Analysis and the Systematic Identification of Diagnostic and Prognostic Gene Expression Signatures Combining Meta-Analysis and Machine Learning , 2019, Cancers.