AIMC Topic:
Cluster Analysis

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Statistical Inference for Clustering Results Interpretation in Clinical Practice.

Studies in health technology and informatics Oct 27, 2021
The relevance of this study lies in improvement of machine learning models understanding. We present a method for interpreting clustering results and apply it to the case of clinical pathways modeling. This method is based on statistical inference an...
Algorithms Cluster Analysis Bayes Theorem Artificial Intelligence Machine Learning
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Improved FCM algorithm for fisheye image cluster analysis for tree height calculation.

Mathematical biosciences and engineering : MBE Sep 9, 2021
The height of standing trees is an important index in forestry research. This index is not only hard to measure directly but also the environmental factors increase the measurement difficulty. Therefore, the measurement of the height of standing tree...
Algorithms Fuzzy Logic Cluster Analysis Magnetic Resonance Imaging Trees
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Improving feature selection performance for classification of gene expression data using Harris Hawks optimizer with variable neighborhood learning.

Briefings in bioinformatics Sep 2, 2021
Gene expression profiling has played a significant role in the identification and classification of tumor molecules. In gene expression data, only a few feature genes are closely related to tumors. It is a challenging task to select highly discrimina...
Internet Cluster Analysis Mutation Gene Expression Regulation, Neoplastic Models, Genetic Reproducibility of Results Animals Gene Expression Profiling Computational Biology Neoplasms Humans Machine Learning Algorithms Databases, Factual
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Deep embedded clustering with multiple objectives on scRNA-seq data.

Briefings in bioinformatics Sep 2, 2021
In recent years, single-cell RNA sequencing (scRNA-seq) technologies have been widely adopted to interrogate gene expression of individual cells; it brings opportunities to understand the underlying processes in a high-throughput manner. Deep embedde...
RNA-Seq Computational Biology Models, Genetic Gene Expression Profiling Single-Cell Analysis Gene Ontology Cluster Analysis Mutation Humans Algorithms Reproducibility of Results Neural Networks, Computer
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Knowledge-based classification of fine-grained immune cell types in single-cell RNA-Seq data.

Briefings in bioinformatics Sep 2, 2021
Single-cell RNA sequencing (scRNA-Seq) is an emerging strategy for characterizing immune cell populations. Compared to flow or mass cytometry, scRNA-Seq could potentially identify cell types and activation states that lack precise cell surface marker...
Humans Deep Learning Immunophenotyping Lymphocytes Datasets as Topic Sequence Analysis, RNA RNA Erythroid Cells Single-Cell Analysis RNA-Seq Cluster Analysis
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jSRC: a flexible and accurate joint learning algorithm for clustering of single-cell RNA-sequencing data.

Briefings in bioinformatics Sep 2, 2021
Single-cell RNA-sequencing (scRNA-seq) explores the transcriptome of genes at cell level, which sheds light on revealing the heterogeneity and dynamics of cell populations. Advances in biotechnologies make it possible to generate scRNA-seq profiles f...
Single-Cell Analysis Sequence Analysis, RNA Cluster Analysis Machine Learning Algorithms
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Hidden coexisting firings in fractional-order hyperchaotic memristor-coupled HR neural network with two heterogeneous neurons and its applications.

Chaos (Woodbury, N.Y.) Aug 1, 2021
The firing patterns of each bursting neuron are different because of the heterogeneity, which may be derived from the different parameters or external drives of the same kind of neurons, or even neurons with different functions. In this paper, the di...
Neurons Cluster Analysis Models, Neurological Neural Networks, Computer
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Unsupervised flow cytometry analysis in hematological malignancies: A new paradigm.

International journal of laboratory hematology Jul 1, 2021
Ever since hematopoietic cells became "events" enumerated and characterized in suspension by cell counters or flow cytometers, researchers and engineers have strived to refine the acquisition and display of the electronic signals generated. A large a...
Bone Marrow Algorithms Hematologic Neoplasms Disease Progression Humans Cluster Analysis Computational Biology Unsupervised Machine Learning Software Flow Cytometry Models, Theoretical
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A data-driven approach to post-stroke aphasia classification and lesion-based prediction.

Brain : a journal of neurology Jun 22, 2021
Aphasia is an acquired impairment in the production or comprehension of language, typically caused by left hemisphere stroke. The subtyping framework used in clinical aphasiology today is based on the Wernicke-Lichtheim model of aphasia formulated in...
Humans Machine Learning Stroke Cluster Analysis Aphasia
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Clustering Results Interpretation of Continuous Variables Using Bayesian Inference.

Studies in health technology and informatics May 27, 2021
The present study is devoted to interpretable artificial intelligence in medicine. In our previous work we proposed an approach to clustering results interpretation based on Bayesian Inference. As an application case we used clinical pathways cluster...
Cluster Analysis Artificial Intelligence Bayes Theorem Algorithms
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