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Results 1-7 of 7 (Search time: 0.002 seconds).
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Issue Date
Title
Author(s)
2023
Protein data in the identification and stage prediction of bronchopulmonary dysplasia on preterm infants: a machine learning study
Pratheeba, J.
;
Bandara, K.M.D.D.
;
Nayanqjith, Y.G.A.
2023
SARS-CoV-2 Diagnosis Using Transcriptome Data: A Machine Learning Approach
Pratheeba, J.
2023
Role of Different types of RNA molecules in the severity prediction of SARS-CoV - 2 patients.
Pratheeba, J.
2023
Role of different types of RNA molecules in the severity prediction of SARS-CoV-2 patients
Pratheeba, Jeyananthan
2023
SARS‑CoV‑2 Diagnosis Using Transcriptome Data: A Machine Learning Approach
Pratheeba, Jeyananthan
2023
Rectified Classifier Chains for Prediction of Antibiotic Resistance from Multi-Labelled Data with Missing Labels
Mukunthan, T.
;
Brian, G.
;
Roberto La, R.
;
Anil, F.
2022
Prolonged viral shedding prediction on non-hospitalized, uncomplicated SARS-CoV-2 patients using their transcriptome data
Pratheeba, J.
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Author
4
Pratheeba, J.
2
Pratheeba, Jeyananthan
1
Anil, F.
1
Bandara, K.M.D.D.
1
Brian, G.
1
Mukunthan, T.
1
Nayanqjith, Y.G.A.
1
Roberto La, R.
Subject
3
GO analysis
3
Transcriptome data
2
Classification algorithm
2
COVID-19 diagnosis
2
Differently expressed genes
2
IncRNA
2
Machine learning models
2
Treatment stage
1
Bronchopulmonary dysplasia (BPD)
1
Classification
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Date issued
6
2023
1
2022
Has File(s)
7
true