AIMC Topic: Algorithms

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Identifying Weak Signals in Inhomogeneous Neuronal Images for Large-Scale Tracing of Sparsely Distributed Neurites.

Neuroinformatics Oct 1, 2019
Tracing neurites constitutes the core of neuronal morphology reconstruction, a key step toward neuronal circuit mapping. Modern optical-imaging techniques allow observation of nearly complete mouse neuron morphologies across brain regions or even the...
Mice Microscopy, Confocal Support Vector Machine Brain Chemistry Automation Neurites Brain Animals Image Processing, Computer-Assisted Algorithms
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Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset.

Journal of digital imaging Oct 1, 2019
We hypothesize that convolutional neural networks (CNN) can be used to predict neoadjuvant chemotherapy (NAC) response using a breast MRI tumor dataset prior to initiation of chemotherapy. An institutional review board-approved retrospective review o...
Female Sensitivity and Specificity Breast Neoplasms Neural Networks, Computer Algorithms Retrospective Studies Predictive Value of Tests Breast Image Interpretation, Computer-Assisted Datasets as Topic Deep Learning Treatment Outcome Humans Magnetic Resonance Imaging
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Fuzzy Gaussian Lasso clustering with application to cancer data.

Mathematical biosciences and engineering : MBE Sep 30, 2019
Recently, Yang et al. (2019) proposed a fuzzy model-based Gaussian (F-MB-Gauss) clustering that combines a model-based Gaussian with fuzzy membership functions for clustering. In this paper, we further consider the F-MB-Gauss clustering with the leas...
Leukemia Blood Glucose Glucose Tolerance Test Image Processing, Computer-Assisted Pattern Recognition, Automated Breast Neoplasms Signal Processing, Computer-Assisted Fuzzy Logic Normal Distribution Male Colonic Neoplasms Neoplasms Humans Cluster Analysis Algorithms Models, Statistical Female
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DL-CNV: A deep learning method for identifying copy number variations based on next generation target sequencing.

Mathematical biosciences and engineering : MBE Sep 30, 2019
Copy number variations (CNVs) play an important role in many types of cancer. With the rapid development of next generation sequencing (NGS) techniques, many methods for detecting CNVs of a single sample have emerged: (i) require genome-wide data of ...
Genome, Human Humans False Positive Reactions Algorithms Exons Deep Learning Proto-Oncogene Proteins c-met Genome-Wide Association Study Databases, Factual ROC Curve High-Throughput Nucleotide Sequencing Carcinoma, Non-Small-Cell Lung Reproducibility of Results Lung Neoplasms In Situ Hybridization, Fluorescence DNA Copy Number Variations Sensitivity and Specificity Receptor, ErbB-2 Area Under Curve
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[Heartbeat-based end-to-end classification of arrhythmias].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Sep 30, 2019
OBJECTIVE: We propose a heartbeat-based end-to-end classification of arrhythmias to improve the classification performance for supraventricular ectopic beat (SVEB) and ventricular ectopic beat (VEB).
Ventricular Premature Complexes Humans Neural Networks, Computer Arrhythmias, Cardiac Algorithms Heart Rate Electrocardiography
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Deep reinforcement learning based valve scheduling for pollution isolation in water distribution network.

Mathematical biosciences and engineering : MBE Sep 26, 2019
Public water supply facilities are vulnerable to intentional intrusion. In particular, Water Distribution Network (WDN) has become one of the most important public facilities that are prone to be attacked because of its wide coverage and constant ope...
Risk Assessment Deep Learning Algorithms Water Supply Water Pollution Markov Chains Water Quality Environmental Monitoring Water Pollutants, Chemical Diffusion
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[Research progress of feature selection and machine learning methods for mass spectrometry-based protein biomarker discovery].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology Sep 25, 2019
With the development of mass spectrometry technologies and bioinformatics analysis algorithms, disease research-driven human proteome project (HPP) is advancing rapidly. Protein biomarkers play critical roles in clinical applications and the biomarke...
Mass Spectrometry Algorithms Biomarkers Proteomics Humans Machine Learning
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Engineering a Less Artificial Intelligence.

Neuron Sep 25, 2019
Despite enormous progress in machine learning, artificial neural networks still lag behind brains in their ability to generalize to new situations. Given identical training data, differences in generalization are caused by many defining features of a...
Neurosciences Deep Learning Bias Generalization, Psychological Humans Neural Networks, Computer Algorithms Brain Artificial Intelligence Machine Learning
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Compositional data network analysis via lasso penalized D-trace loss.

Bioinformatics (Oxford, England) Sep 15, 2019
MOTIVATION: With the development of high-throughput sequencing techniques for 16S-rRNA gene profiling, the analysis of microbial communities is becoming more and more attractive and reliable. Inferring the direct interaction network among microbial c...
Neural Networks, Computer Algorithms Microbiota High-Throughput Nucleotide Sequencing Animals Mice RNA, Ribosomal, 16S
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Biological sequence modeling with convolutional kernel networks.

Bioinformatics (Oxford, England) Sep 15, 2019
MOTIVATION: The growing number of annotated biological sequences available makes it possible to learn genotype-phenotype relationships from data with increasingly high accuracy. When large quantities of labeled samples are available for training a mo...
Neural Networks, Computer Software Algorithms Protein Binding
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