New Results
A Machine Learning One-Class Logistic Regression Model to Predict Stemness in Single Cell Transcriptomics and Spatial Omics Datasets
Felipe Segato Dezem, Maycon Marção, Bassem Ben-Cheikh, Nadya Nikulina, Ayodele Omotoso, Destiny Burnett, Priscila Coelho, Simone Badal, Judith Hurley, Carmen Gomez, Tien Phan-Everson, Giang Ong, Luciano Martelotto, Zachary R. Lewis, Sophia George, Oliver Braubach, Tathiane Malta, View ORCID ProfileJasmine Plummer
doi: https://doi.org/10.1101/2023.05.04.539461
Felipe Segato Dezem
1Center for Spatial Omics, St Jude Children’s Research Hospital, Memphis, TN, USA
2Department of Developmental Neurobiology, St Jude Children’s Research Hospital, Memphis, TN, USA
Maycon Marção
2Department of Developmental Neurobiology, St Jude Children’s Research Hospital, Memphis, TN, USA
3Department of Clinical Analysis, Toxicology and Food Sciences, School of Pharmaceutical Sciences of Ribeirao Preto, University of Sao Paulo, SP, Brazil
Bassem Ben-Cheikh
4Akoya Biosciences, The Spatial Biology Company, Marlborough, MA, USA
Nadya Nikulina
4Akoya Biosciences, The Spatial Biology Company, Marlborough, MA, USA
Ayodele Omotoso
5Department of Obstetrics, Gynecology and Reproductive Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
6Sylvester Comprehensive Cancer Center, UHealth Medical Systems, Miami, FL, USA
Destiny Burnett
5Department of Obstetrics, Gynecology and Reproductive Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
6Sylvester Comprehensive Cancer Center, UHealth Medical Systems, Miami, FL, USA
Priscila Coelho
5Department of Obstetrics, Gynecology and Reproductive Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
6Sylvester Comprehensive Cancer Center, UHealth Medical Systems, Miami, FL, USA
Simone Badal
5Department of Obstetrics, Gynecology and Reproductive Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
6Sylvester Comprehensive Cancer Center, UHealth Medical Systems, Miami, FL, USA
Judith Hurley
5Department of Obstetrics, Gynecology and Reproductive Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
6Sylvester Comprehensive Cancer Center, UHealth Medical Systems, Miami, FL, USA
Carmen Gomez
5Department of Obstetrics, Gynecology and Reproductive Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
6Sylvester Comprehensive Cancer Center, UHealth Medical Systems, Miami, FL, USA
Tien Phan-Everson
7Nanostring Technologies, Seattle, WA, USA
Giang Ong
7Nanostring Technologies, Seattle, WA, USA
Luciano Martelotto
8SAiGENCi, University of Adelaide, Adelaide, Australia
Zachary R. Lewis
7Nanostring Technologies, Seattle, WA, USA
Sophia George
5Department of Obstetrics, Gynecology and Reproductive Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
6Sylvester Comprehensive Cancer Center, UHealth Medical Systems, Miami, FL, USA
Oliver Braubach
4Akoya Biosciences, The Spatial Biology Company, Marlborough, MA, USA
Tathiane Malta
3Department of Clinical Analysis, Toxicology and Food Sciences, School of Pharmaceutical Sciences of Ribeirao Preto, University of Sao Paulo, SP, Brazil
Jasmine Plummer
1Center for Spatial Omics, St Jude Children’s Research Hospital, Memphis, TN, USA
2Department of Developmental Neurobiology, St Jude Children’s Research Hospital, Memphis, TN, USA
9Department of Cellular & Molecular Biology, St Jude Children’s Research Hospital, Memphis, TN, USA
10Comprehensive Cancer Center, St Jude Children’s Research Hospital, Memphis, TN, USA
Article usage
Posted May 07, 2023.
A Machine Learning One-Class Logistic Regression Model to Predict Stemness in Single Cell Transcriptomics and Spatial Omics Datasets
Felipe Segato Dezem, Maycon Marção, Bassem Ben-Cheikh, Nadya Nikulina, Ayodele Omotoso, Destiny Burnett, Priscila Coelho, Simone Badal, Judith Hurley, Carmen Gomez, Tien Phan-Everson, Giang Ong, Luciano Martelotto, Zachary R. Lewis, Sophia George, Oliver Braubach, Tathiane Malta, Jasmine Plummer
bioRxiv 2023.05.04.539461; doi: https://doi.org/10.1101/2023.05.04.539461
A Machine Learning One-Class Logistic Regression Model to Predict Stemness in Single Cell Transcriptomics and Spatial Omics Datasets
Felipe Segato Dezem, Maycon Marção, Bassem Ben-Cheikh, Nadya Nikulina, Ayodele Omotoso, Destiny Burnett, Priscila Coelho, Simone Badal, Judith Hurley, Carmen Gomez, Tien Phan-Everson, Giang Ong, Luciano Martelotto, Zachary R. Lewis, Sophia George, Oliver Braubach, Tathiane Malta, Jasmine Plummer
bioRxiv 2023.05.04.539461; doi: https://doi.org/10.1101/2023.05.04.539461
Subject Area
Subject Areas
- Biochemistry (11755)
- Bioengineering (8757)
- Bioinformatics (29209)
- Biophysics (14980)
- Cancer Biology (12103)
- Cell Biology (17416)
- Clinical Trials (138)
- Developmental Biology (9425)
- Ecology (14187)
- Epidemiology (2067)
- Evolutionary Biology (18314)
- Genetics (12246)
- Genomics (16807)
- Immunology (11870)
- Microbiology (28101)
- Molecular Biology (11599)
- Neuroscience (60995)
- Paleontology (452)
- Pathology (1872)
- Pharmacology and Toxicology (3238)
- Physiology (4961)
- Plant Biology (10429)
- Synthetic Biology (2887)
- Systems Biology (7341)
- Zoology (1651)