Machine learning approaches to study glioblastoma: A review of the last decade of applications

J Valdebenito, F Medina - Cancer Reports, 2019 - Wiley Online Library
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 …

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 …

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 …

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 …

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 …

Gene regulatory elements extraction in breast cancer by Hi-C data using a meta-heuristic method

MJ Hosseinpoor, H Parvin, S Nejatian… - Russian Journal of …, 2019 - Springer
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 …

An association rule mining approach in predicting flood areas

M Makhtar, NA Harun, AA Aziz, ZA Zakaria… - Recent Advances on …, 2017 - Springer
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 …

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]) …

Implementation of apriori algorithm for a new flood area prediction system

NA Harun, M Makhtar, AA Aziz… - Advanced Science …, 2017 - ingentaconnect.com
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 …

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 …