Author

Dereck Mezquita

Baylor College of MedicineORCID 0000-0002-9307-6762Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Aditya KauliD· 1 shared Anna NiarakisiD· 1 shared Asela Nieuwsma· 1 shared Christopher A. CaldaroneiD· 1 shared Cristian CoarfaiD· 1 shared Élisabeth PetitiD· 1 shared Kathryn Jane Grande-AlleniD· 1 shared Kavya L. SingampalliiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperMolecular Biology

Aditya KaulORCID

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2 papers

Recent·Most cited

Genomic and Proteomic Analysis of Patients with Reoccurring Discrete Subaortic Stenosis

Ravi K. Birla, Kavya L. Singampalli, Asela Nieuwsma, Sunita Brimmer, Aditya Kaul, Lalita Wadhwa, Sung Yun Jung, Dereck Mezquita, Sandra L. Grimm, Swathi Balaji, Cristian Coarfa, Christopher A. Caldarone, Kathryn Jane Grande-Allen, Sundeep Govind Keswani

This study analyzes genomic and proteomic differences between recurrent and non-recurrent discrete subaortic stenosis patients to identify predictive markers for reoccurrence.

bioRxiv · Jan 22, 2023 · PreprintMolecular Biology

Inference of an integrative, executable network for Rheumatoid Arthritis combining data-driven machine learning approaches and a state-of-the-art mechanistic disease map

Quentin Miagoux, Vidisha Singh, Dereck Mezquita, Valérie Chaudru, Mohamed Elati, Élisabeth Petit, Anna Niarakis

This paper integrates machine learning and a mechanistic disease map to infer an executable network for RA, identifying key transcription factors and treatment responses.

Journal of Personalized Medicine · Aug 12, 2021Peer-reviewedBioinformatics