AIMC Topic:
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Objective detection of apoptosis in rat renal tissue sections using light microscopy and free image analysis software with subsequent machine learning: Detection of apoptosis in renal tissue.
Tissue & cell
Dec 28, 2016
OBJECTIVE: The current study proposes an automated machine learning approach for the quantification of cells in cell death pathways according to DNA fragmentation.
Large-scale inference of gene function through phylogenetic annotation of Gene Ontology terms: case study of the apoptosis and autophagy cellular processes.
Database : the journal of biological databases and curation
Dec 26, 2016
We previously reported a paradigm for large-scale phylogenomic analysis of gene families that takes advantage of the large corpus of experimentally supported Gene Ontology (GO) annotations. This 'GO Phylogenetic Annotation' approach integrates GO ann...
Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy.
BMC systems biology
Dec 23, 2016
BACKGROUND: It is necessary and essential to discovery protein function from the novel primary sequences. Wet lab experimental procedures are not only time-consuming, but also costly, so predicting protein structure and function reliably based only o...
Genomic Islands: an overview of current software and future improvements.
Journal of integrative bioinformatics
Dec 22, 2016
Microbes are highly diverse and widely distributed organisms. They account for ~60% of Earth’s biomass and new predictions point for the existence of 1011 to 1012 species, which are constantly sharing genes through several different mechanisms....
The Intelligent Control System and Experiments for an Unmanned Wave Glider.
PloS one
Dec 22, 2016
The control system designing of Unmanned Wave Glider (UWG) is challenging since the control system is weak maneuvering, large time-lag and large disturbance, which is difficult to establish accurate mathematical model. Meanwhile, to complete marine e...
Gogadget: An R Package for Interpretation and Visualization of GO Enrichment Results.
Molecular informatics
Dec 21, 2016
Gene expression profiling followed by gene ontology (GO) term enrichment analysis can generate long lists of significant GO terms. To interpret these results and get biological insight in the data, filtering and rearranging these long lists of GO ter...
MUMAL2: Improving sensitivity in shotgun proteomics using cost sensitive artificial neural networks and a threshold selector algorithm.
BMC bioinformatics
Dec 15, 2016
BACKGROUND: This work presents a machine learning strategy to increase sensitivity in tandem mass spectrometry (MS/MS) data analysis for peptide/protein identification. MS/MS yields thousands of spectra in a single run which are then interpreted by s...
Predicting protein conformational changes for unbound and homology docking: learning from intrinsic and induced flexibility.
Proteins
Dec 5, 2016
Predicting protein conformational changes from unbound structures or even homology models to bound structures remains a critical challenge for protein docking. Here we present a study directly addressing the challenge by reducing the dimensionality a...
Evolvix BEST Names for semantic reproducibility across code2brain interfaces.
Annals of the New York Academy of Sciences
Dec 5, 2016
Names in programming are vital for understanding the meaning of code and big data. We define code2brain (C2B) interfaces as maps in compilers and brains between meaning and naming syntax, which help to understand executable code. While working toward...
$\mathtt {Deepr}$: A Convolutional Net for Medical Records.
IEEE journal of biomedical and health informatics
Dec 1, 2016
Feature engineering remains a major bottleneck when creating predictive systems from electronic medical records. At present, an important missing element is detecting predictive regular clinical motifs from irregular episodic records. We present Deep...
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