Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In recent years, technological breakthroughs have greatly enhanced our ability to understand the complex world of molecular biology. Rapid developments in genomic profiling techniques, such as high-throughput sequencing, have brought new opportunities and challenges to the fields of computational biology and bioinformatics. Furthermore, by combining genomic profiling techniques with other experimental techniques, many powerful approaches (e.g., RNA-Seq, Chips-Seq, single-cell assays, and Hi-C) have been developed in order to help explore complex biological systems. As a result of the increasing availability of genomic datasets, in terms of both volume and variety, the analysis of such data has become a critical challenge as well as a topic of great interest. Therefore, statistical methods that address the problems associated with these newly developed techniques are in high demand. This book includes a number of studies that highlight the state-of-the-art statistical methods for the analysis of genomic data and explore future directions for improvement.

Research & information: general --- Mathematics & science --- multiple cancer types --- integrative analysis --- omics data --- prognosis modeling --- classification --- gene set enrichment analysis --- boosting --- kernel method --- Bayes factor --- Bayesian mixed-effect model --- CpG sites --- DNA methylation --- Ordinal responses --- GEE --- lipid-environment interaction --- longitudinal lipidomics study --- penalized variable selection --- convolutional neural networks --- deep learning --- feed-forward neural networks --- machine learning --- gene regulatory network --- nonparanormal graphical model --- network substructure --- false discovery rate control --- gaussian finite mixture model --- clustering analysis --- uncertainty --- expectation-maximization algorithm --- classification boundary --- gene expression --- RNA-seq --- multiple cancer types --- integrative analysis --- omics data --- prognosis modeling --- classification --- gene set enrichment analysis --- boosting --- kernel method --- Bayes factor --- Bayesian mixed-effect model --- CpG sites --- DNA methylation --- Ordinal responses --- GEE --- lipid-environment interaction --- longitudinal lipidomics study --- penalized variable selection --- convolutional neural networks --- deep learning --- feed-forward neural networks --- machine learning --- gene regulatory network --- nonparanormal graphical model --- network substructure --- false discovery rate control --- gaussian finite mixture model --- clustering analysis --- uncertainty --- expectation-maximization algorithm --- classification boundary --- gene expression --- RNA-seq

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book—entitled “Mechanisms and Novel Therapeutic Approaches for Gynecologic Cancer”—was edited as a Special Issue of Biomedicines, focusing on basic research such as genomics, epigenomics, and proteomics, as well as clinical research in the field of gynecologic oncology. The number of patients with gynecological cancer has been increasing worldwide due to its high lethality and lack of early detection tools and effective therapeutic interventions. In this regard, basic research on its pathophysiology and novel molecular targeting intervention is required to improve the prognosis of gynecologic cancer. This book contains 13 papers, including 8 original research papers and 5 reviews focusing on the basic research of gynecologic oncology. The reader can learn about state-of-the-art research and obtain extensive knowledge of the current advances in the field of gynecologic oncology. It is my hope that this book contributes towards the progress of gynecologic oncology.

Public health & preventive medicine --- nucleus accumbens-associated protein 1 (NAC1) --- BEN (BANP, E5R and NAC1) domain --- sequence-specific DNA-binding protein --- solution NMR structure --- isothermal titration calorimetry (ITC) --- human cytomegalovirus --- ovarian cancer --- cancer progression --- inflammation --- immunosuppression --- endometrial carcinoma --- immune micro-environment --- immune checkpoints inhibitors --- microsatellite instability --- mismatch repair deficiency --- platelet-activating factor acetylhydrolase (PAF-AH --- PLA2G7) --- BRCA1 mutant ovarian cancer --- Wnt signaling --- pGSK3β --- β-catenin --- prognosis --- vulvar melanoma --- vaginal melanoma --- targeted therapy --- gynecological cancer --- melanoma treatment --- gene ontology --- epithelial ovarian cancers --- borderline ovarian tumors --- differentially expressed genes --- aryl hydrocarbon receptor --- epithelial-mesenchymal transition --- integrative analysis --- testin --- p16 protein --- cervical cancer --- cervical neoplasia --- immunohistochemistry --- chimeric antigen receptor --- CD44 --- adoptive immunotherapy --- NK cells --- epithelial ovarian cancer --- DNA damage response --- somatic mutation --- clear cell carcinoma --- endometrioid endometrial cancer --- DNA mismatch repair (MMR) --- MMR deficient (dMMR) --- long-term survival --- exosome --- miRNA --- biomarkers --- liquid biopsy --- interventional radiotherapy --- vaginal-cuff brachytherapy --- HDR brachytherapy --- in vivo dosimetry --- endometrial cancer --- biological planning --- drug repurposing --- non-coding RNAs --- nanocarriers --- anti-angiogenic therapy --- nucleus accumbens-associated protein 1 (NAC1) --- BEN (BANP, E5R and NAC1) domain --- sequence-specific DNA-binding protein --- solution NMR structure --- isothermal titration calorimetry (ITC) --- human cytomegalovirus --- ovarian cancer --- cancer progression --- inflammation --- immunosuppression --- endometrial carcinoma --- immune micro-environment --- immune checkpoints inhibitors --- microsatellite instability --- mismatch repair deficiency --- platelet-activating factor acetylhydrolase (PAF-AH --- PLA2G7) --- BRCA1 mutant ovarian cancer --- Wnt signaling --- pGSK3β --- β-catenin --- prognosis --- vulvar melanoma --- vaginal melanoma --- targeted therapy --- gynecological cancer --- melanoma treatment --- gene ontology --- epithelial ovarian cancers --- borderline ovarian tumors --- differentially expressed genes --- aryl hydrocarbon receptor --- epithelial-mesenchymal transition --- integrative analysis --- testin --- p16 protein --- cervical cancer --- cervical neoplasia --- immunohistochemistry --- chimeric antigen receptor --- CD44 --- adoptive immunotherapy --- NK cells --- epithelial ovarian cancer --- DNA damage response --- somatic mutation --- clear cell carcinoma --- endometrioid endometrial cancer --- DNA mismatch repair (MMR) --- MMR deficient (dMMR) --- long-term survival --- exosome --- miRNA --- biomarkers --- liquid biopsy --- interventional radiotherapy --- vaginal-cuff brachytherapy --- HDR brachytherapy --- in vivo dosimetry --- endometrial cancer --- biological planning --- drug repurposing --- non-coding RNAs --- nanocarriers --- anti-angiogenic therapy

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book—entitled “Mechanisms and Novel Therapeutic Approaches for Gynecologic Cancer”—was edited as a Special Issue of Biomedicines, focusing on basic research such as genomics, epigenomics, and proteomics, as well as clinical research in the field of gynecologic oncology. The number of patients with gynecological cancer has been increasing worldwide due to its high lethality and lack of early detection tools and effective therapeutic interventions. In this regard, basic research on its pathophysiology and novel molecular targeting intervention is required to improve the prognosis of gynecologic cancer. This book contains 13 papers, including 8 original research papers and 5 reviews focusing on the basic research of gynecologic oncology. The reader can learn about state-of-the-art research and obtain extensive knowledge of the current advances in the field of gynecologic oncology. It is my hope that this book contributes towards the progress of gynecologic oncology.

nucleus accumbens-associated protein 1 (NAC1) --- BEN (BANP, E5R and NAC1) domain --- sequence-specific DNA-binding protein --- solution NMR structure --- isothermal titration calorimetry (ITC) --- human cytomegalovirus --- ovarian cancer --- cancer progression --- inflammation --- immunosuppression --- endometrial carcinoma --- immune micro-environment --- immune checkpoints inhibitors --- microsatellite instability --- mismatch repair deficiency --- platelet-activating factor acetylhydrolase (PAF-AH --- PLA2G7) --- BRCA1 mutant ovarian cancer --- Wnt signaling --- pGSK3β --- β-catenin --- prognosis --- vulvar melanoma --- vaginal melanoma --- targeted therapy --- gynecological cancer --- melanoma treatment --- gene ontology --- epithelial ovarian cancers --- borderline ovarian tumors --- differentially expressed genes --- aryl hydrocarbon receptor --- epithelial–mesenchymal transition --- integrative analysis --- testin --- p16 protein --- cervical cancer --- cervical neoplasia --- immunohistochemistry --- chimeric antigen receptor --- CD44 --- adoptive immunotherapy --- NK cells --- epithelial ovarian cancer --- DNA damage response --- somatic mutation --- clear cell carcinoma --- endometrioid endometrial cancer --- DNA mismatch repair (MMR) --- MMR deficient (dMMR) --- long-term survival --- exosome --- miRNA --- biomarkers --- liquid biopsy --- interventional radiotherapy --- vaginal-cuff brachytherapy --- HDR brachytherapy --- in vivo dosimetry --- endometrial cancer --- biological planning --- drug repurposing --- non-coding RNAs --- nanocarriers --- anti-angiogenic therapy --- n/a --- epithelial-mesenchymal transition