BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260618T191747Z UID:18c4d92c-60a1-46aa-89e3-e926a926e59a DTSTART:20170409T230000Z DTEND:20170409T230000Z DESCRIPTION:   IMPORTANT DATES for this Course\n   Deadline for appli cations: April 3rd 2017\n   Course date: April 10th - 13th 2017\nCandi dates with adequate profile will be accepted in the next 72 hours after th e application\, until we reach 20 participants.\nCourse description\nThis course is targeted for Biostatistical techniques often employed in analyti cal tools for high throughput data and multivariate data. Participants can expect to attend a thorough set of lectures that will reveal the conceptu al frameworks that are needed to understand the methods. Extensive hands-o n practice will be the main vehicle for providing the skills and user inde pendence. To keep things in context\, the course is exclusively based on b iological examples.\nWe will be using custom-built R scripts and packages that are available from the CRAN and/or Bioconductor repositories.\nCare h as been taken not to use any proprietary data or software\, so that the ha nds-on experience can carry on after the course\, providing maximum user i ndependence. We will be using custom-built R scripts and packages that are available from the CRAN and Bioconductor repositories.\nMethodology\nThis intensive course will introduce a relatively high number of concepts and methods. To keep it highly practical\, we will spend most of the time in h ands-on sessions.\n- We will focus on each method using examples taken fro m biological data.\n- We will then dissect the method\, identifying the co ncepts and exploring their interrelationships.\n- The applicability and li mitations of each method will be emphasized.\n- The use of the method will be illustrated using appropriate Bioinformatics tools and biological data resources.\nTarget Audience\nEverybody using Bioinformatics methods is im plicitly using statistical methods. Moreover\, proper judgement of the res ults often calls for a deeper level of understanding than what is required to solve scholarly exercises.\nWe will look into particular areas such Si mulation\, Bayesian Inference\, Hidden Markov Chains and Multivariate Data Analysis methods with the attitude\,\neyes and brains of an experienced s tatistician that wants to understand how the methods work and systematic w ay.\nCourse Pre-requisites\nIntermediate level knowledge in Statistics is necessary. There is no time to provide basic knowledge\, so we will need t o assume that accepted candidates have self-assessed\nfor it in the follow ing areas:\n- probability\n- conditional probability\n- distributions\n- s tatistical tests\n- hypothesis testing\n- inference\nA suitable candidate will need to be able to answer 8 out of the 10 questions readily\, without help.\n-->\;\nThis level can also be obtained by attending another cour se in GTPB: The IBSTAT course.\nBasic Familiarity with the R environment w ill be necessary. Please follow the exercise that we provide.\nInstall R f rom http://cran.r-project.org/ following the instructions.\nDownload and u nzip the Tutorial folder that is made available here.\nThen:\n- Visualize the slides in "Tutorial R.pdf"\n- Follow the exercise in "Basic_Exercise.p df"\n- For reference\, we also provide a script with a correct set of R st atements in sequence "Tutorial_script.R"\nAdditionally\, we suggest that c andidates acquire familiarity with RStudio by visiting the following resou rces:\n- Introduction to RStudio (basics)\n- Tutorial R and R Studio (comp lete)\nR Studio will be used in the course to ease-up interaction and incr ease productivity\, but people that prefer the original R environment on t he command\nline will be able to follow that preference. LOCATION:Instituto Gulbenkian de Ciência SUMMARY:ABSTAT17 - Advanced Biostatistics for Bioinformatics Tool Users usi ng R URL;VALUE=URI:http://gtpb.igc.gulbenkian.pt/bicourses/ABSTAT17/ END:VEVENT END:VCALENDAR