Cargando…

Machine Learning Algorithms Applied to Identify Microbial Species by Their Motility

(1) Background: Future missions to potentially habitable places in the Solar System require biochemistry-independent methods for detecting potential alien life forms. The technology was not advanced enough for onboard machine analysis of microscopic observations to be performed in past missions, but...

Descripción completa

Detalles Bibliográficos
Autores principales:	Riekeles, Max, Schirmack, Janosch, Schulze-Makuch, Dirk
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7828299/ https://www.ncbi.nlm.nih.gov/pubmed/33445805 http://dx.doi.org/10.3390/life11010044

Ejemplares similares

Enhanced Microbial Survivability in Subzero Brines
por: Heinz, Jacob, et al.
Publicado: (2018)

The Adaptability of Life on Earth and the Diversity of Planetary Habitats
por: Schulze-Makuch, Dirk, et al.
Publicado: (2017)

Effects of Low-Temperature Plasma-Sterilization on Mars Analog Soil Samples Mixed with Deinococcus radiodurans
por: Schirmack, Janosch, et al.
Publicado: (2016)

Bacterial Growth in Chloride and Perchlorate Brines: Halotolerances and Salt Stress Responses of Planococcus halocryophilus
por: Heinz, Jacob, et al.
Publicado: (2019)

Methanogenic Archaea Can Produce Methane in Deliquescence-Driven Mars Analog Environments
por: Maus, Deborah, et al.
Publicado: (2020)

Influence of Martian regolith analogs on the activity and growth of methanogenic archaea, with special regard to long-term desiccation
por: Schirmack, Janosch, et al.
Publicado: (2015)

Evaluating the Microbial Habitability of Rogue Planets and Proposing Speculative Scenarios on How They Might Act as Vectors for Panspermia
por: Schulze-Makuch, Dirk, et al.
Publicado: (2021)

Machine learning algorithms accurately identify free-living marine nematode species
por: Brito de Jesus, Simone, et al.
Publicado: (2023)

Microbial Hotspots in Lithic Microhabitats Inferred from DNA Fractionation and Metagenomics in the Atacama Desert
por: Schulze-Makuch, Dirk, et al.
Publicado: (2021)

Earthquake source characterization by machine learning algorithms applied to acoustic signals
por: Gomez, Bernabe, et al.
Publicado: (2021)

Predicting new crescent moon visibility applying machine learning algorithms
por: Al-Rajab, Murad, et al.
Publicado: (2023)

A New Record for Microbial Perchlorate Tolerance: Fungal Growth in NaClO(4) Brines and its Implications for Putative Life on Mars
por: Heinz, Jacob, et al.
Publicado: (2020)

Prediction of Vestibular Dysfunction by Applying Machine Learning Algorithms to Postural Instability
por: Kamogashira, Teru, et al.
Publicado: (2020)

Machine learning algorithms in microbial classification: a comparative analysis
por: Wu, Yuandi, et al.
Publicado: (2023)

Diverse Viruses Carrying Genes for Microbial Extremotolerance in the Atacama Desert Hyperarid Soil
por: Hwang, Yunha, et al.
Publicado: (2021)

A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
por: Di Fraia, Marco, et al.
Publicado: (2023)

Applying machine learning to identify autistic adults using imitation: An exploratory study
por: Li, Baihua, et al.
Publicado: (2017)

The Physical, Chemical and Physiological Limits of Life
por: Schulze-Makuch, Dirk, et al.
Publicado: (2015)

Applied machine learning with Python
por: Giussani, Andrea
Publicado: (2020)

The Case (or Not) for Life in the Venusian Clouds
por: Schulze-Makuch, Dirk
Publicado: (2021)

Alien encounter: a scientific novel
por: Schulze-Makuch, Dirk
Publicado: (2014)

The Naked Mole-Rat: An Unusual Organism with an Unexpected Latent Potential for Increased Intelligence?
por: Schulze-Makuch, Dirk
Publicado: (2019)

Machine Learning Algorithms Applied to Predict Autism Spectrum Disorder Based on Gut Microbiome Composition
por: Olaguez-Gonzalez, Juan M., et al.
Publicado: (2023)

Applying Machine Learning Techniques to Identify Undiagnosed Patients with Exocrine Pancreatic Insufficiency
por: Pyenson, Bruce, et al.
Publicado: (2019)

Risk Factors of Mortality in Hospitalized Patients With COVID-19 Applying a Machine Learning Algorithm
por: Nieto-Codesido, Irene, et al.
Publicado: (2022)

Machine learning identifies stroke features between species
por: Castaneda-Vega, Salvador, et al.
Publicado: (2021)

Machine learning algorithms: popular algorithms for data science and machine learning
por: Bonaccorso, Giuseppe
Publicado: (2018)

Applying Machine Learning to Identify Anti-Vaccination Tweets during the COVID-19 Pandemic
por: To, Quyen G., et al.
Publicado: (2021)

Emerging machine learning approaches to phenotyping cellular motility and morphodynamics
por: Choi, Hee June, et al.
Publicado: (2021)

Applying Machine Learning to Predict the Exportome of Bovine and Canine Babesia Species That Cause Babesiosis
por: Goodswen, Stephen J., et al.
Publicado: (2021)

Machine learning applied to transcriptomic data to identify genes associated with feed efficiency in pigs
por: Piles, Miriam, et al.
Publicado: (2019)

Applied natural language processing with Python: implementing machine learning and deep learning algorithms for natural language processing
por: Beysolow, Taweh
Publicado: (2018)

Using machine learning algorithms to identify genes essential for cell survival
por: Philips, Santosh, et al.
Publicado: (2017)

Applying Machine Learning Algorithms for the Classification of Mink Infected with Aleutian Disease Using Different Data Sources
por: Do, Duy Ngoc, et al.
Publicado: (2022)

Editorial: Machine learning and applied neuroscience
por: dos Santos, Wellington Pinheiro, et al.
Publicado: (2023)

Identifying incident dementia by applying machine learning to a very large administrative claims dataset
por: Nori, Vijay S., et al.
Publicado: (2019)

Health Data-Driven Machine Learning Algorithms Applied to Risk Indicators Assessment for Chronic Kidney Disease
por: Chiu, Yen-Ling, et al.
Publicado: (2021)

Applying interpretable machine learning algorithms to predict risk factors for permanent stoma in patients after TME
por: Liu, Yuan, et al.
Publicado: (2023)

Machine learning algorithms: reference guide for popular algorithms for data science and machine learning
por: Bonaccorso, Giuseppe
Publicado: (2017)

Classification of T lymphocyte motility behaviors using a machine learning approach
por: Carpentier Solorio, Yves, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_fm8npb5efn01b6uqr73vc5c4v8