Search research articles
Contact Us
Filters
Showing results (1-10 of 80) with videos related to
Page
of 8
Sort By:
Metabolic Brain Disease
|
November 24, 2018
Supervised machine learning to decipher the complex associations between neuro-immune biomarkers and quality of life in schizophrenia
Buranee Kanchanatawan, Sira Sriswasdi, Michael Maes
Bioinformatics (Oxford, England)
|
December 28, 2023
MHCSeqNet2-improved peptide-class I MHC binding prediction for alleles with low data
Patiphan Wongklaew, Sira Sriswasdi, Ekapol Chuangsuwanich
Journal of Critical Care
|
May 15, 2026
Authors reply: "Development and internal validation of machine learning in predicting prognosis of acute kidney injury patients in resource-limited setting"
Tanat Lertussavavivat, Sira Sriswasdi, Nattachai Srisawat
Genome Biology
|
July 25, 2024
SonicParanoid2: fast, accurate, and comprehensive orthology inference with machine learning and language models
Salvatore Cosentino, Sira Sriswasdi, Wataru Iwasaki
Nature Communications
|
October 29, 2017
Generalist species drive microbial dispersion and evolution
Sira Sriswasdi, Ching-Chia Yang, Wataru Iwasaki
Iscience
|
March 7, 2022
Improved image classification explainability with high-accuracy heatmaps
Konpat Preechakul, Sira Sriswasdi, Boonserm Kijsirikul, et al.
Molecular Cancer Research : MCR
|
December 9, 2022
Improved Delineation of Colorectal Cancer Molecular Subtypes and Functional Profiles with a 62-Gene Panel
Dhup Bhukdee, Pattarin Nuwongsri, Nipan Israsena, et al.
Journal of the American Society of Echocardiography : Official Publication of the American Society of Echocardiography
|
December 1, 2023
Spectral Doppler Parameters of Fetal Main Branch Pulmonary Artery at 20 to 40 Weeks of Gestation: Reference Ranges and Percentile Calculators
Surasak Jantarasaengaram, Pemika Jaisamut, Marut Yanaranop, et al.
BMC Bioinformatics
|
May 30, 2019
MHCSeqNet: a deep neural network model for universal MHC binding prediction
Poomarin Phloyphisut, Natapol Pornputtapong, Sira Sriswasdi, et al.
Scientific Reports
|
May 7, 2025
Potential shared neoantigens from pan-cancer transcript isoforms
Jirapat Techachakrit, Aijaz Ahmad Malik, Trairak Pisitkun, et al.
Page
of 8
Search research articles
Search
Showing results (1-10 of 80) with videos related to
Sort By:
Page
of 8
Metabolic Brain Disease
|
November 24, 2018
Supervised machine learning to decipher the complex associations between neuro-immune biomarkers and quality of life in schizophrenia
Buranee Kanchanatawan, Sira Sriswasdi, Michael Maes
Bioinformatics (Oxford, England)
|
December 28, 2023
MHCSeqNet2-improved peptide-class I MHC binding prediction for alleles with low data
Patiphan Wongklaew, Sira Sriswasdi, Ekapol Chuangsuwanich
Journal of Critical Care
|
May 15, 2026
Authors reply: "Development and internal validation of machine learning in predicting prognosis of acute kidney injury patients in resource-limited setting"
Tanat Lertussavavivat, Sira Sriswasdi, Nattachai Srisawat
Genome Biology
|
July 25, 2024
SonicParanoid2: fast, accurate, and comprehensive orthology inference with machine learning and language models
Salvatore Cosentino, Sira Sriswasdi, Wataru Iwasaki
Nature Communications
|
October 29, 2017
Generalist species drive microbial dispersion and evolution
Sira Sriswasdi, Ching-Chia Yang, Wataru Iwasaki
Iscience
|
March 7, 2022
Improved image classification explainability with high-accuracy heatmaps
Konpat Preechakul, Sira Sriswasdi, Boonserm Kijsirikul, et al.
Molecular Cancer Research : MCR
|
December 9, 2022
Improved Delineation of Colorectal Cancer Molecular Subtypes and Functional Profiles with a 62-Gene Panel
Dhup Bhukdee, Pattarin Nuwongsri, Nipan Israsena, et al.
Journal of the American Society of Echocardiography : Official Publication of the American Society of Echocardiography
|
December 1, 2023
Spectral Doppler Parameters of Fetal Main Branch Pulmonary Artery at 20 to 40 Weeks of Gestation: Reference Ranges and Percentile Calculators
Surasak Jantarasaengaram, Pemika Jaisamut, Marut Yanaranop, et al.
BMC Bioinformatics
|
May 30, 2019
MHCSeqNet: a deep neural network model for universal MHC binding prediction
Poomarin Phloyphisut, Natapol Pornputtapong, Sira Sriswasdi, et al.
Scientific Reports
|
May 7, 2025
Potential shared neoantigens from pan-cancer transcript isoforms
Jirapat Techachakrit, Aijaz Ahmad Malik, Trairak Pisitkun, et al.
Page
of 8