Cell morphology-based machine learning models for human cell state classification

Cell morphology-based machine learning models for human cell state classification

Abstract Herein, we implement and access machine learning architectures to ascertain models that differentiate healthy from apoptotic cells using exclusively forward (FSC) and side (SSC) scatter flow cytometry information. To generate training data, colorectal cancer HCT116 cells were subjected to m...

Full description

Bibliographic Details
Main Authors:	Yi Li, Chance M. Nowak, Uyen Pham, Khai Nguyen, Leonidas Bleris
Format:	Article
Language:	English
Published:	Nature Publishing Group 2021-05-01
Series:	npj Systems Biology and Applications
Online Access:	https://doi.org/10.1038/s41540-021-00180-y

Similar Items

Cell morphology-based machine learning models for human cell state classification
by: Bleris, L., et al.
Published: (2021)

Morphology based cell classification : unsupervised machine learning approach
by: Bhaskar, Dhananjay
Published: (2017)

Morphological Neuron Classification Using Machine Learning
by: Xavier Vasques, et al.
Published: (2016-11-01)

Robust Filtering and Noise Suppression in Intragenic miRNA-Mediated Host Regulation
by: Taek Kang, et al.
Published: (2020-10-01)

Classification of Microglial Morphological Phenotypes Using Machine Learning
by: Judith Leyh, et al.
Published: (2021-06-01)

Supervised machine learning for automated classification of human Wharton's Jelly cells and mechanosensory hair cells.
by: Abihith Kothapalli, et al.
Published: (2021-01-01)

Classification of fragile states based on machine learning
by: Li Yuquan, et al.
Published: (2018-01-01)

A comparison of machine learning algorithms for automatic classification of neurons by their morphology
by: Östling, Marcus, et al.
Published: (2018)

Machine learning-based classification of mitochondrial morphology in primary neurons and brain
by: Garrett M. Fogo, et al.
Published: (2021-03-01)

Human epithelial type 2 cell classification based on concatenated features and machine learning algorithms
by: Nasseri, Mahsa
Published: (2015)

APPLICATION OF MACHINE LEARNING ALGORITHMS TO EVALUATE THE UCI DATABASE IN THE CLASSIFICATION OF AUTISM SPECTRUM DISORDERS
by: Phạm Quang Thuận, et al.
Published: (2020-09-01)

Linear control theory for gene network modeling.
by: Yong-Jun Shin, et al.
Published: (2010-01-01)

VERIFICATION OF MACHINE LEARNING METHODS FOR BINARY MORPHOLOGICAL CLASSIFICATION OF GALAXIES FROM SDSS
by: M. Yu. Vasylenko, et al.
Published: (2019-11-01)

Machine Learning of Human Pluripotent Stem Cell-Derived Engineered Cardiac Tissue Contractility for Automated Drug Classification
by: Eugene K. Lee, et al.
Published: (2017-11-01)

Weighted Classification of Machine Learning to Recognize Human Activities
by: Guorong Wu, et al.
Published: (2021-01-01)

Deep Learning-Based Morphological Classification of Human Sperm Heads
by: Imran Iqbal, et al.
Published: (2020-05-01)

Fingerprints Classification through Image Analysis and Machine Learning Method
by: Huong Thu Nguyen, et al.
Published: (2019-11-01)

Label-free classification of cells based on supervised machine learning of subcellular structures.
by: Yusuke Ozaki, et al.
Published: (2019-01-01)

Adaptive diagnostic machine learning technique for classification of cell decisions for AKT protein
by: Ayodeji Olalekan Salau, et al.
Published: (2021-01-01)

MiR-192-Mediated Positive Feedback Loop Controls the Robustness of Stress-Induced p53 Oscillations in Breast Cancer Cells.
by: Richard Moore, et al.
Published: (2015-12-01)

Text Classification of Human Resources-related Data with Machine Learning
by: Rosquist, Christine
Published: (2021)

Supervised Machine Learning for Classification of the Electrophysiological Effects of Chronotropic Drugs on Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes.
by: Christopher Heylman, et al.
Published: (2015-01-01)

Machine Learning-Based Drone Detection and Classification: State-of-the-Art in Research
by: Bilal Taha, et al.
Published: (2019-01-01)

Extended morphological profiles analysis of airborne hyperspectral image classification using machine learning algorithms
by: R. Anand, et al.
Published: (2021-01-01)

High-precision multiclass cell classification by supervised machine learning on lectin microarray data
by: Mayu Shibata, et al.
Published: (2020-12-01)

Classification of red blood cell shapes in flow using outlier tolerant machine learning.
by: Alexander Kihm, et al.
Published: (2018-06-01)

Machine learning-assisted single-cell Raman fingerprinting for in situ and nondestructive classification of prokaryotes
by: Nanako Kanno, et al.
Published: (2021-09-01)

Machine learning based approach to pH imaging and classification of single cancer cells
by: Y. Belotti, et al.
Published: (2021-03-01)

MACHINE LEARNING FOR SENTIMENT CLASSIFICATION
by: PEDRO OGURI
Published: (2006)

Pattern classification using enhanced machine learning
by: Meng, Li
Published: (2002)

Thyroid Nodule Classification for Physician Decision Support Using Machine Learning-Evaluated Geometric and Morphological Features
by: Elmer Jeto Gomes Ataide, et al.
Published: (2020-10-01)

High-Silica Lava Morphology at Ocean Spreading Ridges: Machine-Learning Seafloor Classification at Alarcon Rise
by: Christina H. Maschmeyer, et al.
Published: (2019-06-01)

Biomedical Applications of Infrared Thermal Imaging: Current State of Machine Learning Classification
by: Ricardo Vardasca, et al.
Published: (2019-10-01)

Machine learning classification of resting state functional connectivity predicts smoking status
by: Vani ePariyadath, et al.
Published: (2014-06-01)

Two-dimensional quantitative profiling of cell morphology with serous effusion by unsupervised machine learning analysis
by: Al-Qaysi, S., et al.
Published: (2021)

Morphology of the human amnion cell
by: Armstrong, William Douglas.
Published: (2013)

Morphology of the human amnion cell
by: Armstrong, William Douglas.
Published: (2013)

An Antivirus with Extreme Learning Morphological Machine
by: LIMA, S. M. L., et al.
Published: (2020-12-01)

On Machine-Learning Morphological Image Operators
by: Nina S. T. Hirata, et al.
Published: (2021-08-01)

Machine learning based classification model for screening of infected patients using vital signs
by: Trong Thanh Han, et al.
Published: (2021-01-01)

Cannot write session to /tmp/vufind_sessions/sess_h3jr0lnno7c3vctte5pncs9gtd