AIMC Topic: Drosophila
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Contour-Seed Pairs Learning-Based Framework for Simultaneously Detecting and Segmenting Various Overlapping Cells/Nuclei in Microscopy Images.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jul 18, 2018
In this paper, we propose a novel contour-seed pairs learning-based framework for robust and automated cell/nucleus segmentation. Automated granular object segmentation in microscopy images has significant clinical importance for pathology grading of...
Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction.
IEEE transactions on pattern analysis and machine intelligence
May 24, 2018
We present a method combining affinity prediction with region agglomeration, which improves significantly upon the state of the art of neuron segmentation from electron microscopy (EM) in accuracy and scalability. Our method consists of a 3D U-Net, t...
Supervised machine learning reveals introgressed loci in the genomes of Drosophila simulans and D. sechellia.
PLoS genetics
Apr 23, 2018
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
Apr 16, 2018
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...
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
Apr 3, 2017
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...
Switched Fuzzy-PD Control of Contact Forces in Robotic Microbiomanipulation.
IEEE transactions on bio-medical engineering
Jul 26, 2016
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 ...
LedPred: an R/bioconductor package to predict regulatory sequences using support vector machines.
Bioinformatics (Oxford, England)
Dec 1, 2015
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...
Analyzing animal behavior via classifying each video frame using convolutional neural networks.
Scientific reports
Sep 23, 2015
High-throughput analysis of animal behavior requires software to analyze videos. Such software analyzes each frame individually, detecting animals' body parts. But the image analysis rarely attempts to recognize "behavioral states"-e.g., actions or f...
Putative synaptic genes defined from a Drosophila whole body developmental transcriptome by a machine learning approach.
BMC genomics
Sep 15, 2015
BACKGROUND: Assembly and function of neuronal synapses require the coordinated expression of a yet undetermined set of genes. Although roughly a thousand genes are expected to be important for this function in Drosophila melanogaster, just a few hund...
Simple Algorithms for Distributed Leader Election in Anonymous Synchronous Rings and Complete Networks Inspired by Neural Development in Fruit Flies.
International journal of neural systems
May 26, 2015
Leader election in anonymous rings and complete networks is a very practical problem in distributed computing. Previous algorithms for this problem are generally designed for a classical message passing model where complex messages are exchanged. How...
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