Promises and challenges of big data computing in health sciences
With the development of smart devices and cloud computing, more and more public health
data can be collected from various sources and can be analyzed in an unprecedented way …
data can be collected from various sources and can be analyzed in an unprecedented way …
[HTML][HTML] Precision medicine for hepatocellular carcinoma: driver mutations and targeted therapy
Hepatocellular carcinoma (HCC) is the third most frequent cause of tumor-related mortality
and there are an estimated approximately 850,000 new cases annually. Most HCC patients …
and there are an estimated approximately 850,000 new cases annually. Most HCC patients …
Improved prediction of protein–protein interactions using novel negative samples, features, and an ensemble classifier
Computational methods are employed in bioinformatics to predict protein–protein
interactions (PPIs). PPIs and protein–protein non-interactions (PPNIs) display different levels …
interactions (PPIs). PPIs and protein–protein non-interactions (PPNIs) display different levels …
Heterogeneity of hepatocellular carcinoma contributes to cancer progression
KS Jeng, CF Chang, WJ Jeng, IS Sheen… - Critical Reviews in …, 2015 - Elsevier
Hepatocellular carcinoma (HCC) is a highly heterogeneous disease displaying differences
in angiogenesis, extracellular matrix proteins, the immune microenvironment and tumor cell …
in angiogenesis, extracellular matrix proteins, the immune microenvironment and tumor cell …
Differentially expressed discriminative genes and significant meta-hub genes based key genes identification for hepatocellular carcinoma using statistical machine …
Hepatocellular carcinoma (HCC) is the most common lethal malignancy of the liver
worldwide. Thus, it is important to dig the key genes for uncovering the molecular …
worldwide. Thus, it is important to dig the key genes for uncovering the molecular …
DeepSG2PPI: A protein-protein interaction prediction method based on deep learning
F Zhang, Y Zhang, X Zhu, X Chen… - … /ACM Transactions on …, 2023 - ieeexplore.ieee.org
Protein-protein interaction (PPI) plays an important role in almost all life activities. Many
protein interaction sites have been confirmed by biological experiments, but these PPI site …
protein interaction sites have been confirmed by biological experiments, but these PPI site …
An empirical study of features fusion techniques for protein-protein interaction prediction
With recent development of bioinformatics, the importance of understanding protein function
has been widely acknowledged. Most proteins perform their functions by interacting with …
has been widely acknowledged. Most proteins perform their functions by interacting with …
Application of the shortest path algorithm for the discovery of breast cancer-related genes
Breast cancer, the most prevalent cancer in women, develops from breast tissue. Its
incidence has increased in recent years due to environmental risk factors. Thus, it is urgent …
incidence has increased in recent years due to environmental risk factors. Thus, it is urgent …
Analysis of the relationship between PM2. 5 and lung cancer based on protein-protein interactions
Lung cancer, characterized by uncontrolled cell growth in tissues of the lung, is one of the
leading causes of cancer mortality worldwide. Many etiologic factors for lung cancer …
leading causes of cancer mortality worldwide. Many etiologic factors for lung cancer …
Identification of candidate genes related to inflammatory bowel disease using minimum redundancy maximum relevance, incremental feature selection, and the …
Identification of disease genes is a hot topic in biomedicine and genomics. However, it is a
challenging problem because of the complexity of diseases. Inflammatory bowel disease …
challenging problem because of the complexity of diseases. Inflammatory bowel disease …