AIMC Topic:
Data Mining
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Complex Network Study of the Immune Epitope Database for Parasitic Organisms.
Current topics in medicinal chemistry
Feb 9, 2018
BACKGROUND: Complex network approach allows the representation and analysis of complex systems of interacting agents in an ordered and effective manner, thus increasing the probability of discovering significant properties of them. In the present stu...
iPTMnet: an integrated resource for protein post-translational modification network discovery.
Nucleic acids research
Jan 4, 2018
Protein post-translational modifications (PTMs) play a pivotal role in numerous biological processes by modulating regulation of protein function. We have developed iPTMnet (http://proteininformationresource.org/iPTMnet) for PTM knowledge discovery, ...
A big data approach with artificial neural network and molecular similarity for chemical data mining and endocrine disruption prediction.
Indian journal of pharmacology
Jan 1, 2018
CONTEXT: Chemical toxicity prediction at early stage drug discovery phase has been researched for years, and newest methods are always investigated. Research data comprising chemical physicochemical properties, toxicity, assay, and activity details c...
Intelligently Applying Artificial Intelligence in Chemoinformatics.
Current topics in medicinal chemistry
Jan 1, 2018
The intertwining of chemoinformatics with artificial intelligence (AI) has given a tremendous fillip to the field of drug discovery. With the rapid growth of chemical data from high throughput screening and combinatorial synthesis, AI has become an i...
Biological Event Trigger Identification with Noise Contrastive Estimation.
IEEE/ACM transactions on computational biology and bioinformatics
Jan 1, 2018
Biological Event Extraction is an important task towards the goal of extracting biomedical knowledge from the scientific publications by capturing biomedical entities and their complex relations from the texts. As a crucial step in event extraction, ...
Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches.
Advances in experimental medicine and biology
Jan 1, 2018
Medicine will experience many changes in the coming years because the so-called "medicine of the future" will be increasingly proactive, featuring four basic elements: predictive, personalized, preventive, and participatory. Drivers for these changes...
SPRENO: a BioC module for identifying organism terms in figure captions.
Database : the journal of biological databases and curation
Jan 1, 2018
Recent advances in biological research reveal that the majority of the experiments strive for comprehensive exploration of the biological system rather than targeting specific biological entities. The qualitative and quantitative findings of the inve...
Prediction of Nursing Workload in Hospital.
Studies in health technology and informatics
Jan 1, 2018
A dissertation project at the Witten/Herdecke University [1] is investigating which (nursing sensitive) patient characteristics are suitable for predicting a higher or lower degree of nursing workload. For this research project four predictive modell...
Towards Phenotyping of Clinical Trial Eligibility Criteria.
Studies in health technology and informatics
Jan 1, 2018
BACKGROUND: Medical plaintext documents contain important facts about patients, but they are rarely available for structured queries. The provision of structured information from natural language texts in addition to the existing structured data can ...
Probabilistic and machine learning-based retrieval approaches for biomedical dataset retrieval.
Database : the journal of biological databases and curation
Jan 1, 2018
The bioCADDIE dataset retrieval challenge brought together different approaches to retrieval of biomedical datasets relevant to a user’s query, expressed as a text description of a needed dataset. We describe experiments in applying a data-driven, ma...
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