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421
Understanding drug resistance through computational models of the genotype-phenotype mapping
Published 2018Subjects:Thesis -
422
Communities and homology in protein-protein interactions
Published 2012Subjects: “…computational biology…”
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423
Mathematical modelling and transcriptional characterisation of intratumoral regulatory T cell sub-populations
Published 2023Subjects: “…Computational Biology…”
Thesis -
424
Combined experimental and computational investigation into inter-subject variability in cardiac electrophysiology
Published 2015Subjects:Thesis -
425
Studies of antibody conformational ensembles towards better understanding of structure and function
Published 2024Subjects:Thesis -
426
Using somatic evolution to unravel cell fate dynamics to gain tissue level insights
Published 2022Subjects:Thesis -
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A method for genome-wide genealogy estimation for thousands of samples
Published 2019Subjects:Journal article -
432
Construction of a Suite of Computable Biological Network Models Focused on Mucociliary Clearance in the Respiratory Tract
Published 2019-02-01“…This work is a continuation of our approach to use computational biological network models and mathematical algorithms that allow for the interpretation of high-throughput molecular datasets in the context of known biology. …”
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433
LPCAT1 enhances the invasion and migration in gastric cancer: Based on computational biology methods and in vitro experiments
Published 2023-06-01Subjects: “…computational biology…”
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434
Live Coverage of Intelligent Systems for Molecular Biology/European Conference on computational biology (ISMB/ECCB) 2009.
Published 2010-01-01“…PLoS Computational Biology…”
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435
RGS1 and related genes as potential targets for immunotherapy in cervical cancer: computational biology and experimental validation
Published 2022-07-01Subjects: Get full text
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Origin of novel coronavirus causing COVID-19: A computational biology study using artificial intelligence
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440
Bruins-in-Genomics: Evaluation of the impact of a UCLA undergraduate summer program in computational biology on participating students.
Published 2022-01-01“…Recruiting, training and retaining scientists in computational biology is necessary to develop a workforce that can lead the quantitative biology revolution. …”
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