BACKGROUND: P53 mutation status is a pivotal biomarker for gliomas. Here, we developed a machine-learning model to predict p53 status in lower-grade gliomas based on radiomic features extracted from conventional magnetic resonance (MR) images.
Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
29317575
To explore the effect of interleukin-1α (IL-1α) on the senescence of human umbilical vein endothelial cells (HUVECs) and the function of high mobility group protein 1 (HMGB1). Methods: HUVECs were randomly divided into a control group, a IL-1α group...
The Kaohsiung journal of medical sciences
28137413
Achyranthes bidentate Blume (Niuxi) is often employed for treatment of arthritis in Traditional Chinese Medicine and possesses anti-inflammatory properties. Phytochemical and pharmacological studies proved the oleanane-type saponins to be the main bi...
Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
28070042
To investigate the effect of the jianpi-jiedu formula (JPJD) on the expression of angiogenesis-relevant genes in colon cancer. Methods: Crude extract was obtained from JPJD by water extract method. The effect of JPJD crude extract on colon cancer ce...
This paper reports an experimental comparison of artificial neural network (ANN) and support vector machine (SVM) ensembles and their "nonensemble" variants for lung cancer prediction. These machine learning classifiers were trained to predict lung c...
Several endpoints associated with cellular responses to DNA damage as well as overt cytotoxicity were multiplexed into a miniaturized, "add and read" type flow cytometric assay. Reagents included a detergent to liberate nuclei, RNase and propidium io...
Word models (natural language descriptions of molecular mechanisms) are a common currency in spoken and written communication in biomedicine but are of limited use in predicting the behavior of complex biological networks. We present an approach to b...
IEEE/ACM transactions on computational biology and bioinformatics
29993697
Control of gene regulatory networks (GRNs) to shift gene expression from undesirable states to desirable ones has received much attention in recent years. Most of the existing methods assume that the cost of intervention at each state and time point,...