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Machine learning approaches to study glioblastoma: A review of the last decade of applications
Background Glioblastoma (GB, formally glioblastoma multiforme) is a malignant type of brain
cancer that currently has no cure and is characterized by being highly heterogeneous with …
cancer that currently has no cure and is characterized by being highly heterogeneous with …
Bioinformatics: basics, development, and future
IY Abdurakhmonov - Bioinformatics-Updated Features and …, 2016 - books.google.com
Bioinformatics is an interdisciplinary scientific field of life sciences. Bioinformatics research
and application include the analysis of molecular sequence and genomics data; genome …
and application include the analysis of molecular sequence and genomics data; genome …
Identification of lncRNAs deregulated in epithelial ovarian cancer based on a gene expression profiling meta-analysis
M Salamini-Montemurri, M Lamas-Maceiras… - International Journal of …, 2023 - mdpi.com
Epithelial ovarian cancer (EOC) is one of the deadliest gynecological cancers worldwide,
mainly because of its initially asymptomatic nature and consequently late diagnosis. Long …
mainly because of its initially asymptomatic nature and consequently late diagnosis. Long …
Alpha-hydroxybutyrate dehydrogenase as a biomarker for predicting systemic lupus erythematosus with liver injury
H Yu, H Han, J Li, D Li, L Jiang - International Immunopharmacology, 2019 - Elsevier
Purpose To explore potential biomarkers for identifying systemic lupus erythematosus (SLE)
with liver injury. Methods This retrospective study examined the records of 158 SLE cases …
with liver injury. Methods This retrospective study examined the records of 158 SLE cases …
An efficient pattern growth approach for mining fault tolerant frequent itemsets
S Bashir - Expert Systems with Applications, 2020 - Elsevier
Mining fault tolerant (FT) frequent itemsets from transactional databases are computationally
more expensive than mining exact matching frequent itemsets. Previous algorithms mine FT …
more expensive than mining exact matching frequent itemsets. Previous algorithms mine FT …
Gene regulatory elements extraction in breast cancer by Hi-C data using a meta-heuristic method
Detection of gene regulatory elements and the interactions among them may be conducive
to diagnosis and treatment of many diseases and maladies as cancer. In this regards, Hi-C …
to diagnosis and treatment of many diseases and maladies as cancer. In this regards, Hi-C …
An association rule mining approach in predicting flood areas
This study focuses on the application of Association rules mining for the flood data in
Terengganu. Flood is one of the natural disasters that happens every year during the …
Terengganu. Flood is one of the natural disasters that happens every year during the …
Research on characteristic manifestations of **aochaihu decoction based on association rules mining
LY Zhu, CH Jia, E Park - World Journal of Traditional Chinese …, 2019 - journals.lww.com
Objective: The aim of this study is to explore the characteristic manifestations and
contraindications of **aochaihu decoction (XD [It also stands for all the seven herbs in XD]) …
contraindications of **aochaihu decoction (XD [It also stands for all the seven herbs in XD]) …
Implementation of apriori algorithm for a new flood area prediction system
Frequent pattern mining, known as Apriori algorithm is a simple yet powerful mining
algorithm that can be applied in databases to find the frequent itemsets. This paper …
algorithm that can be applied in databases to find the frequent itemsets. This paper …
Studium dlouhých nekódujících RNA u pacientů s multiformním glioblastomem
R Bútová - 2018 - is.muni.cz
Anotace Multiformní glioblastom (GBM) je nejmalígnejší intrakraniální nádor s mediánem
přežití 14, 6 měsíců od stanovení diagnózy. Důvodem takto nepříznivé prognózy je jeho …
přežití 14, 6 měsíců od stanovení diagnózy. Důvodem takto nepříznivé prognózy je jeho …