pyTCR: a comprehensive cloud-based platform for TCR-Seq data analysis using interactive notebooks to facilitate reproducibility and rigor of immunogenomics research Kerui Peng, Jaqueline Brito, Guoyun Kao, Serghei MangulT cells are crucial components of the adaptive imm... #reproducibility #genomics #immunology
Risk prediction survival model utilising both omics data and clinical data Yunwei Zhang, Jean Yang, Samuel Mueller, Graham MannUtilisation of omics data such as gene expression ... #machine learning #biomedical informatics #clinical genomics
New Insights Of Cancer DNA Methylation By Studies Of Pre-Leukemic Stem Cells In A Mouse Model Of T-Cell Acute Lymphoblastic Leukemia Feng Yan, David J. Curtis, Francine E. Garrett-Bakelman, Nicholas C. Wong, Pieter Van VlierbergheThe role of DNA methylation in the initiation and ... #DNA methylation #cancer #disease #biomedical informatics #evolution
Invited Keynote Making sense of heterogeneity in gene expression data Jessica MarAny model that we apply makes assumptions. But how... #cancer #ageing #gene expression #statistics
Machine Learning Prediction of End-stage Kidney Disease for Clinical Decision Support Dan Andrews, Aaron ChuahChronic kidney disease (CKD) is a major source of ... #machine learning #clinical genomics #disease #biomedical informatics
ISOTOPE: ISOform-guided prediction of epiTOPEs in cancer Juan Luis Trincado, Eduardo EyrasImmunotherapies provide effective treatments for p... #alternative splicing #cancer #immunology #biomedical informatics
Session Talk Finding signatures of alternative polyadenylation as cancer biomarkers Nitika Kandhari, Paul Harrison, Kaylene Simpson, David Powell, Traude Beilharz, Iva Nikolic, Robert Vary, Karla CowleyAlternative transcript cleavage and Polyadenylatio... #transcriptomics #cancer #polyadenylation
Session Talk Characterisation of a convergent malignant phenotype in B-cell acute lymphoblastic leukaemia Adria Closa, Marina Reixachs, Eduardo EyrasAcute lymphoblastic leukaemia (ALL) is the most co... #transcriptomics #RNA splicing #cancer #disease
Session Talk An Evolutionary Approach to Network Analysis of Cancer Transcriptomes Reveals Common Indicators of Enhanced Malignancy Across a Range of Solid Tumours David Goode, Anna Trigos, Rick Pearson, Tony PapenfussDespite diverse origins and significant genomic he... #transcriptomics #cancer #networks #evolution #gene expression
Session Talk A comprehensive analysis of code and data availability in biomedical research Dhrithi Deshpande, Ruiwei Guo, Serghei MangulIn biomedical research, it is not only imperative ... #biomedical informatics #reproducibility #open source
