Sara Younes

Interpretable machine learning identifies paediatric Systemic Lupus Erythematosus subtypes based on gene expression data

Yones, Sara A.; Annett, Alva; Stoll, Patricia; Diamanti, Klev et al.

Ingår i Scientific Reports, 2022

• DOI för Interpretable machine learning identifies paediatric Systemic Lupus Erythematosus subtypes based on gene expression data

Machine Learning-Based Analysis of Glioma Grades Reveals Co-Enrichment

Garbulowski, Mateusz; Smolinska Garbulowska, Karolina; Cabuk, Ugur; Younes, Sara et al.

Ingår i Cancers, 2022

• DOI för Machine Learning-Based Analysis of Glioma Grades Reveals Co-Enrichment
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Transcriptomic analysis reveals proinflammatory signatures associated with acute myeloid leukemia progression

Stratmann, Svea; Yones, Sara A.; Garbulowski, Mateusz; Sun, Jitong et al.

Ingår i Blood Advances, s. 152-164, 2022

• DOI för Transcriptomic analysis reveals proinflammatory signatures associated with acute myeloid leukemia progression
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Supplementary material: Interpretable machine learning identifies paediatric Systemic Lupus Erythematosus subtypes based on gene expression data

Yones, Sara A.; Annett, Alva; Stoll, Patricia; Diamanti, Klev et al.

2021

• Ladda ner fulltext (pdf) av Supplementary material: Interpretable machine learning identifies paediatric Systemic Lupus Erythematosus subtypes based on gene expression data

Uncovering biomarkers and molecular heterogeneity of complex diseases: Utilizing the power of Data Science

Younes, Sara

2021

• Ladda ner fulltext (pdf) av Uncovering biomarkers and molecular heterogeneity of complex diseases: Utilizing the power of Data Science

Interpretable machine learning identifies paediatric Systemic Lupus Erythematosus subtypes based on gene expression data

Yones, Sara A.; Annett, Alva; Stoll, Patricia; Diamanti, Klev et al.

Ingår i Scientific Reports, 2022

• DOI för Interpretable machine learning identifies paediatric Systemic Lupus Erythematosus subtypes based on gene expression data

Machine Learning-Based Analysis of Glioma Grades Reveals Co-Enrichment

Garbulowski, Mateusz; Smolinska Garbulowska, Karolina; Cabuk, Ugur; Younes, Sara et al.

Ingår i Cancers, 2022

• DOI för Machine Learning-Based Analysis of Glioma Grades Reveals Co-Enrichment
• Ladda ner fulltext (pdf) av Machine Learning-Based Analysis of Glioma Grades Reveals Co-Enrichment

Transcriptomic analysis reveals proinflammatory signatures associated with acute myeloid leukemia progression

Stratmann, Svea; Yones, Sara A.; Garbulowski, Mateusz; Sun, Jitong et al.

Ingår i Blood Advances, s. 152-164, 2022

• DOI för Transcriptomic analysis reveals proinflammatory signatures associated with acute myeloid leukemia progression
• Ladda ner fulltext (pdf) av Transcriptomic analysis reveals proinflammatory signatures associated with acute myeloid leukemia progression

MetaFetcheR: An R Package for Complete Mapping of Small-Compound Data

Yones, Sara A.; Csombordi, Rajmund; Komorowski, Jan; Diamanti, Klev

Ingår i Metabolites, 2021

• DOI för MetaFetcheR: An R Package for Complete Mapping of Small-Compound Data
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What Is Abnormal in Normal Karyotype Acute Myeloid Leukemia in Children?: Analysis of the Mutational Landscape and Prognosis of the TARGET-AML Cohort

Herlin, Morten Krogh; Yones, Sara A.; Kjeldsen, Eigil; Holmfeldt, Linda et al.

Ingår i Genes, 2021

• DOI för What Is Abnormal in Normal Karyotype Acute Myeloid Leukemia in Children?: Analysis of the Mutational Landscape and Prognosis of the TARGET-AML Cohort
• Ladda ner fulltext (pdf) av What Is Abnormal in Normal Karyotype Acute Myeloid Leukemia in Children?: Analysis of the Mutational Landscape and Prognosis of the TARGET-AML Cohort

Genomic characterization of relapsed acute myeloid leukemia reveals novel putative therapeutic targets

Stratmann, Svea; Yones, Sara A.; Mayrhofer, Markus; Norgren, Nina et al.

Ingår i Blood Advances, s. 900-912, 2021

• DOI för Genomic characterization of relapsed acute myeloid leukemia reveals novel putative therapeutic targets

Supplementary material: Interpretable machine learning identifies paediatric Systemic Lupus Erythematosus subtypes based on gene expression data

Yones, Sara A.; Annett, Alva; Stoll, Patricia; Diamanti, Klev et al.

2021

• Ladda ner fulltext (pdf) av Supplementary material: Interpretable machine learning identifies paediatric Systemic Lupus Erythematosus subtypes based on gene expression data

SUPPLEMENTARY MATERIAL: Transcriptomic analysis reveals pro-inflammatory signatures associated with acute myeloid leukemia progression

Stratmann, Svea; Yones, Sara A.; Garbulowski, Mateusz; Sun, Jitong et al.

2021

Supplementary tables:MetaFetcheR: An R package for complete mapping of small compound data

Yones, Sara A.; Csombordi, Rajmund; Komorowski, Jan; Diamanti, Klev

2021

• Ladda ner fulltext (pdf) av Supplementary tables:MetaFetcheR: An R package for complete mapping of small compound data

SUPPLEMENTARY MATERIAL: Machine learning-based analysis of glioma grades reveals co-enrichment

Garbulowski, Mateusz; Smolinska Garbulowska, Karolina; Çabuk, Uğur; Yones, Sara A. et al.

2021

SUPPLEMENTAL INFORMATION FOR: Transcriptomic analysis reveals pro-inflammatory signatures associated with acute myeloid leukemia progression

Stratmann, Svea; Yones, Sara A.; Garbulowski, Mateusz; Sun, Jitong et al.

2020

• Ladda ner fulltext (pdf) av SUPPLEMENTAL INFORMATION FOR: Transcriptomic analysis reveals pro-inflammatory signatures associated with acute myeloid leukemia progression

Uncovering biomarkers and molecular heterogeneity of complex diseases: Utilizing the power of Data Science

Younes, Sara

2021

• Ladda ner fulltext (pdf) av Uncovering biomarkers and molecular heterogeneity of complex diseases: Utilizing the power of Data Science