AIMC Topic: Animals

Clear Filters Showing 8561 to 8570 of 8866 articles

Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification.

Bioinformatics (Oxford, England)
SUMMARY: State-of-the-art light and electron microscopes are capable of acquiring large image datasets, but quantitatively evaluating the data often involves manually annotating structures of interest. This process is time-consuming and often a major...

Neuroscience-Inspired Artificial Intelligence.

Neuron
The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history. In more recent times, however, communication and collaboration between the two fields has become less commonplace. In this article, we argue that better ...

Machine learning for predicting lifespan-extending chemical compounds.

Aging
Increasing age is a risk factor for many diseases; therefore developing pharmacological interventions that slow down ageing and consequently postpone the onset of many age-related diseases is highly desirable. In this work we analyse data from the Dr...

TITER: predicting translation initiation sites by deep learning.

Bioinformatics (Oxford, England)
MOTIVATION: Translation initiation is a key step in the regulation of gene expression. In addition to the annotated translation initiation sites (TISs), the translation process may also start at multiple alternative TISs (including both AUG and non-A...

Denoising genome-wide histone ChIP-seq with convolutional neural networks.

Bioinformatics (Oxford, England)
MOTIVATION: Chromatin immune-precipitation sequencing (ChIP-seq) experiments are commonly used to obtain genome-wide profiles of histone modifications associated with different types of functional genomic elements. However, the quality of histone ChI...

DextMP: deep dive into text for predicting moonlighting proteins.

Bioinformatics (Oxford, England)
MOTIVATION: Moonlighting proteins (MPs) are an important class of proteins that perform more than one independent cellular function. MPs are gaining more attention in recent years as they are found to play important roles in various systems including...

Deep learning with word embeddings improves biomedical named entity recognition.

Bioinformatics (Oxford, England)
MOTIVATION: Text mining has become an important tool for biomedical research. The most fundamental text-mining task is the recognition of biomedical named entities (NER), such as genes, chemicals and diseases. Current NER methods rely on pre-defined ...

agriGO v2.0: a GO analysis toolkit for the agricultural community, 2017 update.

Nucleic acids research
The agriGO platform, which has been serving the scientific community for >10 years, specifically focuses on gene ontology (GO) enrichment analyses of plant and agricultural species. We continuously maintain and update the databases and accommodate th...

[Preparation of monoclonal antibody against cystatin C and establishment of its immunoassay system].

Wei sheng yan jiu = Journal of hygiene research
OBJECTIVE: To prepare human cystatin C( CysC) recombinant protein and produce monoclonal antibodies with high affinity and specificity. Develop a competitive ELISA detection system to detect of CysC in human serum.