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Application of Bioinformatics in Cancers
Application of Bioinformatics in Cancers
Autore Brenner J. Chad
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (418 p.)
Soggetto non controllato cancer treatment
extreme learning
independent prognostic power
AID/APOBEC
HP
gene inactivation biomarkers
biomarker discovery
chemotherapy
artificial intelligence
epigenetics
comorbidity score
denoising autoencoders
protein
single-biomarkers
gene signature extraction
high-throughput analysis
concatenated deep feature
feature selection
differential gene expression analysis
colorectal cancer
ovarian cancer
multiple-biomarkers
gefitinib
cancer biomarkers
classification
cancer biomarker
mutation
hierarchical clustering analysis
HNSCC
cell-free DNA
network analysis
drug resistance
hTERT
variable selection
KRAS mutation
single-cell sequencing
network target
skin cutaneous melanoma
telomeres
Neoantigen Prediction
datasets
clinical/environmental factors
StAR
PD-L1
miRNA
circulating tumor DNA (ctDNA)
false discovery rate
predictive model
Computational Immunology
brain metastases
observed survival interval
next generation sequencing
brain
machine learning
cancer prognosis
copy number aberration
mutable motif
steroidogenic enzymes
tumor
mortality
tumor microenvironment
somatic mutation
transcriptional signatures
omics profiles
mitochondrial metabolism
Bufadienolide-like chemicals
cancer-related pathways
intratumor heterogeneity
estrogen
locoregionally advanced
RNA
feature extraction and interpretation
treatment de-escalation
activation induced deaminase
knockoffs
R package
copy number variation
gene loss biomarkers
cancer CRISPR
overall survival
histopathological imaging
self-organizing map
Network Analysis
oral cancer
biostatistics
firehose
Bioinformatics tool
alternative splicing
biomarkers
diseases genes
histopathological imaging features
imaging
TCGA
decision support systems
The Cancer Genome Atlas
molecular subtypes
molecular mechanism
omics
curative surgery
network pharmacology
methylation
bioinformatics
neurological disorders
precision medicine
cancer modeling
miRNAs
breast cancer detection
functional analysis
biomarker signature
anti-cancer
hormone sensitive cancers
deep learning
DNA sequence profile
pancreatic cancer
telomerase
Monte Carlo
mixture of normal distributions
survival analysis
tumor infiltrating lymphocytes
curation
pathophysiology
GEO DataSets
head and neck cancer
gene expression analysis
erlotinib
meta-analysis
traditional Chinese medicine
breast cancer
TCGA mining
breast cancer prognosis
microarray
DNA
interaction
health strengthening herb
cancer
genomic instability
ISBN 3-03921-789-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367743403321
Brenner J. Chad  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cell-Free Nucleic Acids
Cell-Free Nucleic Acids
Autore Nagy Bálint
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (248 p.)
Soggetto non controllato screening
single nucleotide polymorphism
predictive and preventive approach
PTEN
cell-free DNAs
fetal fraction
gestational hypertension
RASSF1
CDH1
RT-PCR
cfDNA
statistical models
hematopoietic stem cell transplantation
NanoString
solid organ transplantation
copy number variants
sarcomas
liquid biopsy
obesity
fetal DNA
neutrophil extracellular traps
mammography
non-invasive prenatal testing
ovarian cancer
circulating miRNA
pyrosequencing
growth retardation
preeclampsia
gestational diabetes mellitus
biomarker
inflammatory bowel disease
multi-level diagnostics
PAX1
population study
nuclease activity
NETosis
omics
piRNA
cell-free DNA
prediction
leiomyosarcomas
network analysis
NGS
statistical methods
circulating nucleic acids
deletion/insertion polymorphism
gender differences
leiomyomas
fetal growth restriction
blood plasma
exosomes
miRNA
pregnancy-related complications
NIPT
genetic marker
cell-free nucleic acids
extracellular vesicles
expression
next generation sequencing
breast cancer
individualized patient profile
circulating tumor cells
maternal serum screening
personalized medicine
embryo culture medium
C19MC microRNA
DNA
cell-free RNAs
z-score
fetal cells
microchimerism
aging
plasma
ISBN 3-03928-075-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910372783603321
Nagy Bálint  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Surgical Treatment of Pancreatic Ductal Adenocarcinoma
Surgical Treatment of Pancreatic Ductal Adenocarcinoma
Autore Satoi Sohei
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (214 p.)
Soggetto topico Medicine
Surgery
Soggetto non controllato unresectable pancreatic ductal adenocarcinoma
conversion surgery
early recurrence
pancreatic neoplasm/analysis
pancreatic neoplasm/surgery
tumor location
survival
clinical staging
branch duct intraductal papillary mucinous neoplasm
risk factor
malignancy
meta-analysis
laparoscopic
pancreaticoduodenectomy
pancreatic cancer
borderline resectable
neoadjuvant treatment
chemoradiotherapy
prognostic nutritional index
isolated local recurrence
pancreatectomy
pancreatic remnant
recurrence
redo surgery
pancreatic exocrine insufficiency
adjuvant chemotherapy
biliary drainage
prehabilitation
ERAS
arterial resection
total pancreatectomy
neoadjuvant therapy
pancreatic ductal adenocarcinoma
surgical treatment
technical advances
pancreatic main duct dilatation
intraductal papillary mucinous neoplasm
high grade dysplasia
invasive carcinoma
pancreatic cystic neoplasm
cell-free DNA
mesopancreas
superior mesenteric artery
nerve and fibrous tissues
lymph node dissection
R0 resection
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557364803321
Satoi Sohei  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Treatment Strategies and Survival Outcomes in Breast Cancer
Treatment Strategies and Survival Outcomes in Breast Cancer
Autore Cheung Kwok-Leung
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (264 p.)
Soggetto non controllato relative survival
young women
cancer treatment
fulvestrant
lapatinib
tumor biology
antihormone therapy
mastectomy
aromatase inhibitors
chemotherapy
serum biomarker
cyclin E
anthracycline resistance
zero-inflated Poisson regression model
lymph-node ratio
CHEK2
comparative effectiveness
breast-conserving therapy
taxane sensitivity
liquid biopsy
HER2 c-erbB2
colorectal cancer
infiltrating breast cancer
survival
exercise characteristics
lactate dehydrogenase
biomarker
breast cancer survivors
BRCA
disease-free survival
PIK3CA
metastatic breast cancer
cell-free DNA
invasive breast cancer
radiotherapy
Metformin
social well-being
gene expression
contralateral breast cancer
basal-like breast cancer
LMK-235
Src kinase
HER2/neu
LKB1
Older women
LDH
mutation carriers
stage IV
mammography screening
NCDB
cMet
SEER
pertuzumab
physical function
outcome
ribociclib
older patients
geriatric oncology
metastatic
overdiagnosis
next-generation sequencing
abemaciclib
Endocrine therapy
monitoring metastatic breast cancer
breast cancer
circulating tumor cells
Breast Cancer
PALB2
histone deacetylase
prognosis
physical activity
trastuzumab
ductal carcinoma in situ
contralateral prophylactic mastectomy
ERCC1
family history
T-DM1
ATM
advanced breast cancer
incidence
palbociclib
HDAC5 inhibitors
APOBEC3B
ISBN 3-03928-759-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404084403321
Cheung Kwok-Leung  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui