AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Drosophila

Showing 41 to 50 of 53 articles

Clear Filters

High throughput preparation of fly genomic DNA in 96-well format using a paint-shaker.

Fly
Sample homogenization is an essential step for genomic DNA extraction, with multiple downstream applications in Molecular Biology. Genotyping hundreds or thousands of samples requires an automation of this homogenization step, and high throughput hom...

LedPred: an R/bioconductor package to predict regulatory sequences using support vector machines.

Bioinformatics (Oxford, England)
UNLABELLED: Supervised classification based on support vector machines (SVMs) has successfully been used for the prediction of cis-regulatory modules (CRMs). However, no integrated tool using such heterogeneous data as position-specific scoring matri...

Switched Fuzzy-PD Control of Contact Forces in Robotic Microbiomanipulation.

IEEE transactions on bio-medical engineering
Force sensing and control are of paramount importance in robotic micromanipulation. A contact force regulator capable of accurately applying mechanical stimuli to a live Drosophila larva could greatly facilitate mechanobiology research on Drosophila ...

An improved chaotic fruit fly optimization based on a mutation strategy for simultaneous feature selection and parameter optimization for SVM and its applications.

PloS one
This paper proposes a new support vector machine (SVM) optimization scheme based on an improved chaotic fly optimization algorithm (FOA) with a mutation strategy to simultaneously perform parameter setting turning for the SVM and feature selection. I...

AptRank: an adaptive PageRank model for protein function prediction on   bi-relational graphs.

Bioinformatics (Oxford, England)
MOTIVATION: Diffusion-based network models are widely used for protein function prediction using protein network data and have been shown to outperform neighborhood-based and module-based methods. Recent studies have shown that integrating the hierar...

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...

A neural algorithm for a fundamental computing problem.

Science (New York, N.Y.)
Similarity search-for example, identifying similar images in a database or similar documents on the web-is a fundamental computing problem faced by large-scale information retrieval systems. We discovered that the fruit fly olfactory circuit solves t...

Soma Detection in 3D Images of Neurons using Machine Learning Technique.

Neuroinformatics
Computing and analyzing the neuronal structure is essential to studying connectome. Two important tasks for such analysis are finding the soma and constructing the neuronal structure. Finding the soma is considered more important because it is requir...

Supervised machine learning reveals introgressed loci in the genomes of Drosophila simulans and D. sechellia.

PLoS genetics
Hybridization and gene flow between species appears to be common. Even though it is clear that hybridization is widespread across all surveyed taxonomic groups, the magnitude and consequences of introgression are still largely unknown. Thus it is cru...

Accurate identification of RNA editing sites from primitive sequence with deep neural networks.

Scientific reports
RNA editing is a post-transcriptional RNA sequence alteration. Current methods have identified editing sites and facilitated research but require sufficient genomic annotations and prior-knowledge-based filtering steps, resulting in a cumbersome, tim...