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Contents

About the Editors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii
Preface to ”Bioinformatics and Machine Learning for Cancer Biology” . . . . . . . . . . . . . . ix
Special Issue on Bioinformatics and Machine Learning for Cancer Biology . . . . . . . . . . . . . . . . . 1
Machine Learning-Based Identification of Colon Cancer Candidate Diagnostics Genes. . . . . . . . . . . . . . . . . 3
A Novel Approach to Modeling and Forecasting Cancer Incidence and Mortality Rates through
Web Queries and Automated Forecasting Algorithms: Evidence from Romania . . . . . . . . . . . . . . . . . 19
Prediction of Major Histocompatibility Complex Binding with Bilateral and Variable Long Short
Term Memory Networks . . . . . . . . . . . . . . . . . 37
Identification of DPP4/CTNNB1/MET as a Theranostic Signature of Thyroid Cancer and
Evaluation of the Therapeutic Potential of Sitagliptin . . . . . . . . . . . . . . . . . 47
DRPPM-EASY: A Web-Based Framework for Integrative Analysis of Multi-Omics Cancer
Datasets . . . . . . . . . . . . . . . . . 65
Identification and Validation of an Annexin-Related Prognostic Signature and Therapeutic
Targets for Bladder Cancer: Integrative Analysis . . . . . . . . . . . . . . . . . 79
Architectural Distortion-Based Digital Mammograms Classification Using Depth Wise
Convolutional Neural Network . . . . . . . . . . . . . . . . . . 97
Comprehensive Analysis of CPA4 as a Poor Prognostic Biomarker Correlated with Immune
Cells Infiltration in Bladder Cancer . . . . . . . . . . . . . . . . 127
The Identification of RNA Modification Gene PUS7 as a Potential Biomarker of Ovarian Cancer . . . . . . . . . . . . . . . . 145
R-Score: A New Parameter to Assess the Quality of Variants’ Calls Assessed by NGS Using
Liquid Biopsies . . . . . . . . . . . . . . . . . 159
Role of Persistent Organic Pollutants in Breast Cancer Progression and Identification of
Estrogen Receptor Alpha Inhibitors Using In-Silico Mining and Drug-Drug Interaction Network
Approaches . . . . . . . . . . . . . . . . . 169

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