Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2020
Computed tomographic (CT) is a fundamental imaging modality to generate cross-sectional views of internal anatomy in a living subject or interrogate material composition of an object, and it has been routinely used in clinical applications and nondes...
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2020
Various deep learning models have been developed for different healthcare predictive tasks using Electronic Health Records and have shown promising performance. In these models, medical codes are often aggregated into visit representation without con...
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2020
Mental health patients often undergo a variety of treatments before finding an effective one. Improved prediction of treatment response can shorten the duration of trials. A key challenge of applying predictive modeling to this problem is that often ...
Medicinal chemistry (Shariqah (United Arab Emirates))
Jan 1, 2020
Mycobacterium tuberculosis (MTB) can cause the terrible tuberculosis (TB), which is reported as one of the most dreadful epidemics. Although many biochemical molecular drugs have been developed to cope with this disease, the drug resistance-especiall...
Medicinal chemistry (Shariqah (United Arab Emirates))
Jan 1, 2020
Nuclear receptors (NRs) are a superfamily of ligand-dependent transcription factors that are closely related to cell development, differentiation, reproduction, homeostasis, and metabolism. According to the alignments of the conserved domains, NRs ar...
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2020
Identifying residue-residue contacts in protein-protein interactions or complex is crucial for understanding protein and cell functions. DCA (direct-coupling analysis) methods shed some light on this, but they need many sequence homologs to yield acc...
Medicinal chemistry (Shariqah (United Arab Emirates))
Jan 1, 2020
BACKGROUND: Tuberculosis is one of the biggest threats to human health. Recent studies have demonstrated that anti-tubercular peptides are promising candidates for the discovery of new anti-tubercular drugs. Since experimental methods are still labor...
Bioinformatics (Oxford, England)
Jan 1, 2020
MOTIVATION: Over the past two decades, a circular form of RNA (circular RNA), produced through alternative splicing, has become the focus of scientific studies due to its major role as a microRNA (miRNA) activity modulator and its association with va...
Bioinformatics (Oxford, England)
Jan 1, 2020
MOTIVATION: Several recent studies showed that the application of deep neural networks advanced the state-of-the-art in named entity recognition (NER), including biomedical NER. However, the impact on performance and the robustness of improvements cr...
Bioinformatics (Oxford, England)
Jan 1, 2020
MOTIVATION: Applying infrared microscopy in the context of tissue diagnostics heavily relies on computationally preprocessing the infrared pixel spectra that constitute an infrared microscopic image. Existing approaches involve physical models, which...