Impact of parallel computing on identifying biomarkers of hepatocellular carcinoma

EM Hashem, MS Mabrouk - Journal of Medical Imaging and …, 2014 - ingentaconnect.com
The development and progression of cancer diseases characterize the genomic instability
that frequently results in genomic alternations including copy number gains or losses …

Automatic Detection of Liver Cancer Using Artificial Intelligence and Imaging Techniques—A Review

Z Naaqvi, S Akbar, SA Hassan, A Khalid… - Prognostic Models in …, 2022 - Springer
Millions of death cases have been occurring from liver cancer or hepatic cancer worldwide.
This disease is most commonly caused by scarring or cirrhosis of the liver tissue. Therefore …

[PDF][PDF] Novel altered region for biomarker discovery in hepatocellular carcinoma (HCC) using whole genome SNP array

EM Hashem, MS Mabrouk… - International Journal of …, 2016 - pdfs.semanticscholar.org
cancer represents one of the greatest medical causes of mortality. The majority of
Hepatocellular carcinoma arises from the accumulation of genetic abnormalities, and …

Discrete stationary wavelet transform of array CGH data for biomarkers identification of hepatocellular carcinoma

MS Mabrouk, EM Hashem… - Journal of Bioinformatics …, 2012 - ingentaconnect.com
Hepatocellular carcinoma is considered as one of the common malignant tumors in the
world, chronic hepatitis and liver cirrhosis have been recognized as important risk factors for …

Selecting a Machine Learning Algorithm for the Prediction of Hepatocellular Carcinoma with the Determination of Key Indicators

M Mammadova, Z Jabrayilova… - 2023 5th International …, 2023 - ieeexplore.ieee.org
Hepatocellular carcinoma, also known as liver cancer, is characterized by a large number of
several types of indications. The HCC Dataset, data visualization and GridSearchCV hyper …

Discovery of biomarkers in hepatocellular carcinoma metastasis using bioinformatic analysis

J Wei, H Ur Rashid, L Wu - Current Bioinformatics, 2021 - ingentaconnect.com
Background: Liver cancer is one of the most deadly malignancies worldwide. Tumor
metastasis is the main cause of liver cancer-related death. So far, the mechanism of liver …

[PDF][PDF] A comparative study of machine learning algorithms for diagnosis of hepatocellular carcinoma

M Masoud, HA Ibrahim, KH Rahouma - Egyptian Computer Science …, 2022 - ecsjournal.org
In adults, hepatocellular carcinoma (HCC) is the most frequent type of liver cancer. Due to
the disease's modest symptoms, it is a very difficult challenge for medical experts to identify …

Impact of deep sequencing on hepatocellular carcinoma utilizing high-throughput technology

EM Hashem, MS Mabrouk, AM Eldeib - Network Modeling Analysis in …, 2020 - Springer
In the medical sciences, bioinformatics typically include compiling expression data for cells
affected by various diseases, like cancer. Hepatocellular carcinoma (HCC) is a tumor of the …

[PDF][PDF] Statistical approaches for hepatocellular carcinoma (HCC) biomarker discovery

MS Mabrouk, EM Hashem… - American Journal of …, 2012 - researchgate.net
Bioinformatics provides an essential tool for the identification of diseases especially human
cancer diseases. Also, the availability of the complete human genome has opened the door …

Application of Machine Learning Techniques to Assess Alpha-Fetoprotein at Diagnosis of Hepatocellular Carcinoma

S Gil-Rojas, M Suárez, P Martínez-Blanco… - International Journal of …, 2024 - mdpi.com
Hepatocellular carcinoma (HCC) is the most common primary liver tumor and is associated
with high mortality rates. Approximately 80% of cases occur in cirrhotic livers, posing a …