AIMC Topic: Machine Learning

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Current Projection Methods-Induced Biases at Subgroup Detection for Machine-Learning Based Data-Analysis of Biomedical Data.

International journal of molecular sciences Dec 20, 2019
Advances in flow cytometry enable the acquisition of large and high-dimensional data sets per patient. Novel computational techniques allow the visualization of structures in these data and, finally, the identification of relevant subgroups. Correct ...
Stochastic Processes Machine Learning Humans Algorithms Antigens, CD Computational Biology Flow Cytometry Datasets as Topic
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iQSP: A Sequence-Based Tool for the Prediction and Analysis of Quorum Sensing Peptides via Chou's 5-Steps Rule and Informative Physicochemical Properties.

International journal of molecular sciences Dec 20, 2019
Understanding of quorum-sensing peptides (QSPs) in their functional mechanism plays an essential role in finding new opportunities to combat bacterial infections by designing drugs. With the avalanche of the newly available peptide sequences in the p...
Support Vector Machine Peptides Machine Learning Bacterial Physiological Phenomena Models, Molecular Amino Acid Sequence Quorum Sensing Drug Discovery Bacteria
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StressGenePred: a twin prediction model architecture for classifying the stress types of samples and discovering stress-related genes in arabidopsis.

BMC genomics Dec 20, 2019
BACKGROUND: Recently, a number of studies have been conducted to investigate how plants respond to stress at the cellular molecular level by measuring gene expression profiles over time. As a result, a set of time-series gene expression data for the ...
Neural Networks, Computer Machine Learning Phenotype Stress, Physiological Genes, Plant Arabidopsis Genetic Association Studies Computational Biology Models, Biological Gene Expression Profiling Transcriptome
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Multilevel and Multiscale Feature Aggregation in Deep Networks for Facial Constitution Classification.

Computational and mathematical methods in medicine Dec 20, 2019
Constitution classification is the basis and core content of TCM constitution research. In order to improve the accuracy of constitution classification, this paper proposes a multilevel and multiscale features aggregation method within the convolutio...
Image Processing, Computer-Assisted Principal Component Analysis Face Machine Learning Humans Pattern Recognition, Automated Algorithms Neural Networks, Computer China
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Estimating individualized treatment regimes from crossover designs.

Biometrics Dec 19, 2019
The field of precision medicine aims to tailor treatment based on patient-specific factors in a reproducible way. To this end, estimating an optimal individualized treatment regime (ITR) that recommends treatment decisions based on patient characteri...
Precision Medicine Learning Cross-Over Studies Humans Machine Learning Research Design
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A Machine-Learning Approach to Identify a Prognostic Cytokine Signature That Is Associated With Nivolumab Clearance in Patients With Advanced Melanoma.

Clinical pharmacology and therapeutics Dec 19, 2019
Lower clearance of immune checkpoint inhibitors is a predictor of improved overall survival (OS) in patients with advanced cancer. We investigated a novel approach using machine learning to identify a baseline composite cytokine signature via clearan...
Humans Machine Learning Cytokines Prognosis Antineoplastic Agents, Immunological Melanoma Nivolumab Skin Neoplasms Metabolic Clearance Rate
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Efficient identification of novel anti-glioma lead compounds by machine learning models.

European journal of medicinal chemistry Dec 19, 2019
Glioblastoma multiforme (GBM) is the most devastating and widespread primary central nervous system tumor. Pharmacological treatment of this malignance is limited by the selective permeability of the blood-brain barrier (BBB) and relies on a single d...
Antineoplastic Agents Mice Cell Proliferation Nitrofurans Female Models, Statistical Animals Glioma Humans Xenograft Model Antitumor Assays Male Apoptosis Machine Learning Tumor Cells, Cultured Mice, Inbred C57BL
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Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Dec 19, 2019
Multi-modality based classification methods are superior to the single modality based approaches for the automatic diagnosis of the Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, most of the multi-modality based methods usuall...
Aged, 80 and over Male Brain Mapping Multimodal Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Machine Learning Female Aged Humans Pattern Recognition, Automated Neuroimaging
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Extreme learning machine for a new hybrid morphological/linear perceptron.

Neural networks : the official journal of the International Neural Network Society Dec 19, 2019
Morphological neural networks (MNNs) can be characterized as a class of artificial neural networks that perform an operation of mathematical morphology at every node, possibly followed by the application of an activation function. Morphological perce...
Machine Learning Classification Neural Networks, Computer
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A Machine Learning Ensemble Approach Based on Random Forest and Radial Basis Function Neural Network for Risk Evaluation of Regional Flood Disaster: A Case Study of the Yangtze River Delta, China.

International journal of environmental research and public health Dec 19, 2019
The Yangtze River Delta (YRD) is one of the most developed regions in China. This is also a flood-prone area where flood disasters are frequently experienced; the situations between the people-land nexus and the people-water nexus are very complicate...
Geographic Information Systems China Cities Machine Learning Ecosystem Risk Assessment Forests Rivers Floods Neural Networks, Computer
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