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DESCRIPTION:**This course is co-organized by the doctoral program Staromics
  of the CUSO and SIB. A certain number of places will be attributed in pri
 ority to Staromics members.**\n\n\n# Overview\nStatistics are an integral 
 aspect of scientific research\, and in particular of life sciences that he
 avily rely on quantitative methodologies. Among other things\, statistics 
 are an essential tool which allows gaining new insights on the relationshi
 ps between different biological measurements and variables. \n\nMachine le
 arning (ML) also assists in making sense of large and complex datasets and
  can be very useful in mining large biological datasets to uncover new ins
 ights that can advance the field of bioinformatics.\n\nThis course was des
 igned to guide participants in the exploration of the concepts of statisti
 cal modelling\, and at the same time relate and contrast them with machine
  learning approaches when it comes to both classification and regression.\
 n\nA particular focus will be given on the evaluation of the relevance of 
 the produced models\, and their interpretation in order to provide new bio
 logical knowledge.\n\n# Audience\nThis course is addressed to life scienti
 sts who want to have a better understanding of these methods and on how to
  apply them to their own datasets. \n\n# Learning outcomes\nAt the end of 
 the course\, the participants will be able to:\n * perform linear and logi
 stic regressions\, and critically evaluate their results\n * describe the 
 general Machine Learning data analysis pipeline\n * implement a classifica
 tion task and appraise the resulting model\n * contrast the statistical an
 d Machine Learning approaches when it comes to regression\, and choose the
  most appropriate to their question.\n\n\n# Prerequisites\n***Knowledge / 
 competencies***\n\n\n\n\nYou should meet the learning outcomes of [First S
 teps with Python in Life Sciences](https://www.sib.swiss/training/course/2
 0250311_FSWP)\n and [Introduction to statistics with R](https://www.sib.sw
 iss/training/course/20240122_STATR).\n\n\n\nSpecifically\, only knowledge 
 and competencies concerning statistical concepts taught in the course ‘[
 Introduction to statistics with R](https://www.sib.swiss/training/course/2
 0240122_STATR)’ are required. Before applying to this course\, please as
 sess your Python and statistics skills using the quiz [here](https://forms
 .gle/ZpQFyHHwoPQKJSwv7).\n\n\n\n\n\n***Technical***\n\nYou are required to
  have your own computer with an internet connection and the following tool
 s installed PRIOR to the course:\nYou are required to have your own comput
 er with an internet connection and the following tools installed PRIOR to 
 the course: [tools to be installed](https://github.com/sib-swiss/statistic
 s-and-machine-learning-training#pre-requisites).\n\nAlthough not mandatory
 \, we also highly recommend you to use the same computer to connect to the
  zoom classroom and perform the exercises\, otherwise we will have difficu
 lties helping you debug your code.\n\n# Schedule \n\nDay 1 \n* Warm-up: lo
 ading and plotting data with python. \n* Linear modelling: ordinary least 
 squares\, from fitting to models comparison\n* Logistic regression and Gen
 eralized Linear Models (GLM): from regression to classification\n\nDay 2 \
 n* The Machine Learning pipeline and evaluation\n* Machine Learning and cl
 assification: logistic regression classifier  and random forests\n* Machin
 e Learning and regression\n\n# Application\n\n\n\nRegistration fees for ac
 ademics are **200 CHF** and **1000 CHF** for for-profit companies. \n\nWhi
 le participants are registered on a first come\, first served basis\, exce
 ptions may be made to ensure diversity and equity\, which may increase the
  time before your registration is confirmed.\n\nApplications will close as
  soon as the places will be filled up. Deadline for free-of-charge cancell
 ation is set to **20/03/2025**. Cancellation after this date will not be r
 eimbursed. Please note that participation in SIB courses is subject to our
  [general conditions](https://www.sib.swiss/training/terms-and-conditions)
 .\n\nYou will be informed by email of your registration confirmation. Upon
  reception of the confirmation email\, participants will be asked to confi
 rm attendance by paying the fees within 5 days.\n\n# Venue and Time\n\nThi
 s course will be streamed.\n\nThe course will start at 9:00 and end around
  17:00 CET.\n\nPrecise information will be provided to the participants in
  due time.\n\n\n#  Additional information\n\nCoordination: Valeria Di Cola
 \, SIB training group.\n\n\nWe will recommend 0.5 ECTS credits for this co
 urse (given a passed exam at the end of the course).\n\nYou are welcome to
  register to the SIB courses mailing list to be informed of all future cou
 rses and workshops\, as well as all important deadlines using the form [he
 re](https://lists.sib.swiss/postorius/lists/courses.lists.sib.swiss/).\n\n
 Please note that participation in SIB courses is subject to our [general c
 onditions](https://www.sib.swiss/training/terms-and-conditions).\n\nSIB ab
 ides by the [ELIXIR Code of Conduct](https://elixir-europe.org/events/code
 -of-conduct). Participants of SIB courses are also required to abide by th
 e same code.\n\nFor more information\, please contact [training@sib.swiss]
 (mailto://training@sib.swiss).
SUMMARY:Statistics and Machine Learning for Life Sciences
URL;VALUE=URI:https://www.sib.swiss/training/course/20250403_STAML
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