SOCR News IBRO INSF Malaysia 2017

Dinov Lecture Notes Organization INCF/IBRO 2017 Neuroscience Summer School

Aug 10 Ivo Dinov (Statistical Computing) • Data Science and Predictive Analytics (http://DSPA.predictive.space) o Motivation o I. Foundations of R o II. Data Management o III. Visualization o X. Black Box Machine-Learning Methods: Neural Networks and Support Vector Machines o XVII. Regularized Linear Modeling and Controlled Variable Selection o XIX. Text Mining and Natural Language Processing o XX. Forecasting and Prediction with Statistical Cross-Validation o XXII. Deep Learning and Neural Networks o Datasets & Case-Studies: https://umich.instructure.com/courses/38100/files/folder/Case_Studies

Aug 11 Ivo Dinov (High Throughput Processing of Big Neuroscience Data) • Pipeline Environment http://pipeline.loni.usc.edu • Pipeline Client GUI – data, modules and workflow objects • Module definition (http://pipeline.loni.usc.edu/learn/user-guide/creating-modules/#Simple%20modules) and workflow construction (http://pipeline.loni.usc.edu/learn/user-guide/building-a-workflow/#Building%20a%20workflow) • Pipeline workflows documentation: https://wiki.loni.usc.edu/index.php/Main_Page • Pipeline Workflow Library: http://pipeline.loni.usc.edu/explore/library-navigator/ • Pipeline workflow miner: http://pipeline.loni.usc.edu/files/miner/ • Case-studies o Global Shape Analysis (GSA)  Simple 3 cohort study of dementia  /ifs/loni/ccb/collabs/2017/INCF_IBRO_SummerSchool  GSA workflow (ADNI_11AD_11_MCI_11HC_CaseStudy_DM.csv) • https://wiki.loni.usc.edu/index.php/Global_Shape_Analysis_(GSA)_Workflow • http://bit.ly/1Djhihs  Try-It Now server; Cranium  LONI  Global Shape Analysis - Two Groups (Complete) workflow o Minimum deformation template (MDT): https://wiki.loni.usc.edu/index.php/MDT_Atlasing_Workflow o Tensor-Based Morphometry (TBM): http://pipeline.loni.usc.edu/explore/library-navigator/ o PLINK Association: http://pipeline.loni.usc.edu/explore/library-navigator/

Aug 15-16 Dinov Keynote, Plenary 1- Predictive Data Analytics scheduled on Tuesday, 15 August 2017 at 9.00-9.45 am (45 minutes), at the Sunway Medical Centre, Hospital Pusat Perubatan Sunway, 5, Jalan Lagoon Selatan, Bandar Sunway, 47500 Petaling Jaya, Selangor • Lecture notes: http://socr.umich.edu/docs/uploads/Dinov_PredictiveDataAnalytics_2017_MalaysiaTelemedicine.pdf • Driving biomedical problems and motivational health challenges o Neurodegeneration o Pheno-Geno-Enviro • Common Characteristics of Big (Biomedical and Health) Data • Data science • Predictive analytics • Case-studies • Tomorrow’s Healthcare: The Age of Disruptions

Aug 18 Ivo Dinov (Neuroimaging-genetics) • Predictive Big Data Analytics (PBDA/PD): https://github.com/SOCR/PBDA • PLINK association workflow o https://wiki.loni.usc.edu/index.php/PLINK_GWAS_Workflows o http://bit.ly/1BuiI5j • Pipeline bioinformatics and Genomics computing pipeline workflows https://wiki.loni.usc.edu/index.php/LONI_Pipeline_Genomics_and_Informatics_Workflow_Solutions • Examples of published studies o Moon, S., Dinov, ID, Kim, J, Zamanyan, A, Hobel, S, Thompson, PM, Toga, AW (2015) Structural Neuroimaging Genetics Interactions in Alzheimer's Disease. Journal of Alzheimer's Disease, 48(4):1051-63, doi: 10.3233/JAD-150335 (PMID: 26444770) o Moon, SW, Dinov, ID, Hobel, S, Zamanyan, A, Choi, YC, Thompson, PM, Toga, AW and Alzheimer's Disease Neuroimaging Initiative (ADNI) (2015) Structural Brain Changes in Early-Onset Alzheimer's Disease Subjects Using the LONI Pipeline Environment. Journal of Neuroimaging, 25(5):728–737,. DOI: 10.1111/jon.12252 o Moon, SW, Dinov ID, Zamanyan, A, Shi, R, Genco, A, Hobel, S, Thompson, PM, Toga, AW and Alzheimer's Disease Neuroimaging Initiative (ADNI) (2015) Gene Interactions and Structural Brain Change in Early-Onset Alzheimer's Disease Subjects Using the Pipeline Environment . Psychiatry Investigation, 12(1):125-135. DOI: 10.4306/pi.2015.12.1.125 •