TY  - GEN
AU  - Sinha,Raghu
AU  - Arga,Kazim Yalcin
AU  - Sinha,Raghu
AU  - Arga,Kazim Yalcin
TI  - Recent Developments in Cancer Systems Biology
SN  - books978-3-0365-1471-0
PY  - 2021///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - Medicine
KW  - bicssc
KW  - Sestrin2
KW  - lung cancer
KW  - knockdown
KW  - cancer progression
KW  - bioinformatics
KW  - patient survival
KW  - lung adenocarcinoma
KW  - circulating miR-1246
KW  - glycosaminoglycan binding
KW  - prognosis
KW  - PI3K–Akt signaling pathways
KW  - TargetScan
KW  - UBE2C
KW  - cancer systems biology
KW  - experimental model systems
KW  - next-generation sequencing
KW  - single-cell sequencing
KW  - patient-derived xenografts
KW  - patient-derived organoids
KW  - triple-negative breast cancer
KW  - personalized medicine
KW  - computational methods
KW  - drug repurposing
KW  - clinical trials
KW  - cancer stem cells
KW  - ETS
KW  - Elk-1
KW  - stem cell
KW  - microarray
KW  - brain-tumor-initiating cell (BTIC)
KW  - pancreatic cancer
KW  - systems biology
KW  - omics
KW  - biomarker
KW  - genomics
KW  - transcriptomics
KW  - proteomics
KW  - metabolomics
KW  - glycomics
KW  - metagenomics
KW  - Ets
KW  - PEA3
KW  - Ets-1
KW  - glioma
KW  - optical genome mapping
KW  - solid tumors
KW  - cancer genomics
KW  - breast
KW  - ovarian
KW  - cancer
KW  - TCGA
KW  - non-small-cell lung cancer
KW  - lung adenocarcinoma (LUAD)
KW  - lung squamous cell carcinoma (LUSC)
KW  - differential expression
KW  - SNV
KW  - CNV
KW  - risk group
KW  - signature
KW  - survival
KW  - renal cancers
KW  - protein interactome
KW  - diagnostic biomarker
KW  - prognostic biomarker
KW  - virtual screening
KW  - docking
KW  - acute myeloid leukemia
KW  - Boolean model
KW  - drug resistance
KW  - network
KW  - n/a
N1  - Open Access
N2  - This ebook includes original research articles and reviews to update readers on the state of the art systems approach to not only discover novel diagnostic and prognostic biomarkers for several cancer types, but also evaluate methodologies to map out important genomic signatures. In addition, therapeutic targets and drug repurposing have been emphasized for a variety of cancer types. In particular, new and established researchers who desire to learn about cancer systems biology and why it is possibly the leading front to a personalized medicine approach will enjoy reading this book
UR  - https://mdpi.com/books/pdfview/book/4169
UR  - https://directory.doabooks.org/handle/20.500.12854/76720
ER  -