AIMC Topic: Cell Line, Tumor
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Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction.
Nucleic acids research
Nov 29, 2016
The binding and contribution of transcription factors (TF) to cell specific gene expression is often deduced from open-chromatin measurements to avoid costly TF ChIP-seq assays. Thus, it is important to develop computational methods for accurate TF b...
DNA
CD4-Positive T-Lymphocytes
Hepatocytes
Gene Expression Regulation
Transcription Factors
Hep G2 Cells
Cell Line
Principal Component Analysis
Primary Cell Culture
Chromatin
Chromatin Assembly and Disassembly
Human Embryonic Stem Cells
Organ Specificity
K562 Cells
Histones
Binding Sites
Humans
Machine Learning
Algorithms
Cell Line, Tumor
Protein Binding
INHIBITORY ACTIVITY OF MANGIFERIN ON PYLORI-INDUCED INFLAMMATION IN HUMAN GASTRIC CARCINOMA AGS CELLS.
African journal of traditional, complementary, and alternative medicines : AJTCAM
Nov 23, 2016
BACKGROUND: Gastric cancer is a serious health issue caused by and claims more lives in developing and undeveloped countries. Hence, the need for a natural drug with several pharmacological activities with no adverse effect are highly recommended. T...
Vitamin E (α-Tocopherol) Exhibits Antitumour Activity on Oral Squamous Carcinoma Cells ORL-48.
Integrative cancer therapies
Nov 10, 2016
Cancers involving the oral cavity, head, and neck regions are often treated with cisplatin. In cancer therapy, the main target is to eliminate unwanted cancerous cells. However, reports on the nonselective nature of this drug have raised few concerns...
Prediction of anti-cancer drug response by kernelized multi-task learning.
Artificial intelligence in medicine
Oct 3, 2016
MOTIVATION: Chemotherapy or targeted therapy are two of the main treatment options for many types of cancer. Due to the heterogeneous nature of cancer, the success of the therapeutic agents differs among patients. In this sense, determination of chem...
Opening up the blackbox: an interpretable deep neural network-based classifier for cell-type specific enhancer predictions.
BMC systems biology
Aug 1, 2016
BACKGROUND: Gene expression is mediated by specialized cis-regulatory modules (CRMs), the most prominent of which are called enhancers. Early experiments indicated that enhancers located far from the gene promoters are often responsible for mediating...
Coating independent cytotoxicity of citrate- and PEG-coated silver nanoparticles on a human hepatoma cell line.
Journal of environmental sciences (China)
Jul 13, 2016
The antibacterial potential of silver nanoparticles (AgNPs) resulted in their increasing incorporation into consumer, industrial and biomedical products. Therefore, human and environmental exposure to AgNPs (either as an engineered product or a conta...
Hybrid-Actuating Macrophage-Based Microrobots for Active Cancer Therapy.
Scientific reports
Jun 27, 2016
Using macrophage recruitment in tumors, we develop active, transportable, cancer theragnostic macrophage-based microrobots as vector to deliver therapeutic agents to tumor regions. The macrophage-based microrobots contain docetaxel (DTX)-loaded poly-...
DiscMLA: An Efficient Discriminative Motif Learning Algorithm over High-Throughput Datasets.
IEEE/ACM transactions on computational biology and bioinformatics
May 3, 2016
The transcription factors (TFs) can activate or suppress gene expression by binding to specific sites, hence are crucial regulatory elements for transcription. Recently, series of discriminative motif finders have been tailored to offering promising ...
Drug target identification using network analysis: Taking active components in Sini decoction as an example.
Scientific reports
Apr 20, 2016
Identifying the molecular targets for the beneficial effects of active small-molecule compounds simultaneously is an important and currently unmet challenge. In this study, we firstly proposed network analysis by integrating data from network pharmac...
Loss of the integral nuclear envelope protein SUN1 induces alteration of nucleoli.
Nucleus (Austin, Tex.)
Mar 10, 2016
A supervised machine learning algorithm, which is qualified for image classification and analyzing similarities, is based on multiple discriminative morphological features that are automatically assembled during the learning processes. The algorithm ...
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