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SUMMARY:Chemometrics in metabolomics\, 'omics profiling and systems biolog
 y
DTSTART:20101126T101500
DTSTAMP:20260510T235043Z
UID:740e4fcb69bf843e86b02d3f5db0c280ae55fe4f6301aab0a519e79c
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. J. Trygg\, Computational life science cluster\, Department
  of  Chemistry\, Umea University\, Umea\,  Sweden.\nExperimental sciences\
 , e.g. biology\, chemistry and medicine have to a large extent become info
 rmation sciences and in turn\, bioinformatics and chemometrics are now pre
 requisites for experimental and applied research [1]. In systems biology\,
  the general trend is to perform increasingly comprehensive characterizati
 ons of organisms in order to study the associations between their molecula
 r and cellular components in greater detail. Abundances of transcripts\, p
 roteins and metabolites are measured at a current state or over time and a
 nalyzed using advanced mathematical and computational techniques. One of t
 he recent developments is the OPLS [2] method and its extensions O2PLS [3]
 \, OPLS-DA [4] that have been successfully applied for prediction of clini
 cal endpoints [5] and data integration of data sets from an array of profi
 ling technologies [6\,7]. This allows for better class separation\, simple
 r interpretation\, and the opportunity to identify potential biomarkers as
  well as provide an understanding of experimental and biological variation
 . I will also describe how to take into account the individual dynamics. A
  novel approach is to use each individual as its own reference. This corre
 sponds to modeling the dynamic behavior over time\, based on each individu
 al’s trajectory to identify interesting patterns or trends. Statistical 
 modeling and data integration across platforms of each individual trajecto
 ry can then be used to summarize the global dynamic behavior over all indi
 viduals. This makes it possible to handle the different types of variation
 s such as individual differences in kinetics\, circadian rhythm\, and fast
  and slow responders.\nSeveral studies in biology and medicine will be pre
 sented and discussed.\n1. Trygg J\, Holmes E\, Lundstedt T\, Chemometrics 
 in metabonomics\, J.Prot.Research 62: 469-479 2007\n2. Trygg J\, Wold S. O
 rthogonal projections to latent structures (O-PLS). J. Chemometrics.\, 200
 2\; 16: 119-128.\n3. Trygg J\, Wold S\, J. Chemometr\, 17 (1): 53-64 2003\
 n4. Bylesjö M\, Rantalainen M\, Cloarec O\, Nicholson J\, Holmes E\, Tryg
 g J. J. Chemometrics\, 2006\; 20:341-351\n5. MAQC Consortium\, Nature Biot
 ech\, 28: 827-U109  2010\n6. Rantalainen\, M.\, Cloarec\, O.\, Beckonert\,
  O\, Wilson\, I D. Jackson D.\, J. Prot.Research 5(10): 2642-2655 2006\n7.
  Bylesjo M\, Eriksson D\, Kusano M\, Moritz T\, Trygg J. The Plant Journal
   2007 52\, 6:1181-91
LOCATION:ME C2 405
STATUS:CONFIRMED
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