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i CluF: an unsupervised iterative cluster-fusion method for patient stratification using multiomics data.

• Authors : Shakyawar SK; Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, United States.; Sajja BR

• Source: Bioinformatics advances [Bioinform Adv] 2024 Jan 30; Vol. 4 (1), pp. vbae015. Date of Electronic Publication: 2024 Jan 30 (Print Publication: 2024).Publisher: Oxford University Press Country of Publication: England NLM ID: 9918282081306676 Publication Model: eCollection

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Data-driven patient stratification of UK Biobank cohort suggests five endotypes of multimorbidity.

• Authors : Prasad B; Personalised Medicine Centre, School of Medicine, Ulster University, UK. He holds a MSc in Computational and Integrative Sciences from Jawaharlal Nehru University, India.; Bjourson AJ

Subjects: Multimorbidity* ; Multiple Chronic Conditions*; Humans

• Source: Briefings in bioinformatics [Brief Bioinform] 2022 Nov 19; Vol. 23 (6).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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ViLoN-a multi-layer network approach to data integration demonstrated for patient stratification.

• Authors : Kańduła MM; Institute of Molecular Biotechnology, Boku University Vienna, Austria.; Janssen Pharmaceutica NV, Beerse, Belgium.

Subjects: Algorithms* ; Esophageal Neoplasms*/Esophageal Neoplasms*/Esophageal Neoplasms*/drug therapy ; Esophageal Neoplasms*/Esophageal Neoplasms*/Esophageal Neoplasms*/genetics

• Source: Nucleic acids research [Nucleic Acids Res] 2023 Jan 11; Vol. 51 (1), pp. e6.Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium:

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DECO: Decompose heterogeneous population cohorts for patient stratification and discovery of sample biomarkers using omic data profiling

• Authors : Instituto de Salud Carlos III; European Commission; Junta de Castilla y León

Subjects: artículo

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Machine learning application for patient stratification and phenotype/genotype investigation in a rare disease.

• Authors : Spiga O; Department of Biotechnology, Chemistry and Pharmacy, University of Siena, ITALY.; Cicaloni V

Subjects: Databases, Genetic* ; Genotype* ; Machine Learning*

• Source: Briefings in bioinformatics [Brief Bioinform] 2021 Sep 02; Vol. 22 (5).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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Data-driven patient stratification of UK Biobank cohort suggests five endotypes of multimorbidity

• Authors : Prasad, Bodhayan; Bjourson, Anthony J.; Shukla, Priyank

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CSIG-03. STAT3-BASED PATIENT STRATIFICATION IN PRECISION NEURO-ONCOLOGY

• Authors : See-Wee Lim; Patrick Tan; Carol Tang

Subjects: Oncology; Cancer Research; medicine.medical_specialty

• Source: Neuro Oncol

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IMMU-27. ANALYSIS OF IMMUNE SIGNATURES IN PEDIATRIC GLIOBLASTOMAS FOR PATIENT STRATIFICATION TO IMMUNOTHERAPY

• Authors : Eric S. Lipp; Vidyalakshmi Chandramohan; David M. Ashley

Subjects: Oncology; Cancer Research; medicine.medical_specialty

• Source: Neuro-Oncology

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Integrative cancer patient stratification via subspace merging

• Authors : Michael F. Sharpnack; Raghu Machiraju; Hao Ding

Subjects: Statistics and Probability; Computer science; Breast Neoplasms

• Source: Bioinformatics

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CaPSSA: visual evaluation of cancer biomarker genes for patient stratification and survival analysis using mutation and expression data

• Authors : Jang, Yeongjun; Seo, Jihae; Jang, Insu ...

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