ICSB - 2007 Abstract Format for L A TEX First Author 1 , Second Author 2,3,∗ , Third Author 1,3 1. Department, Institution, City, Country 2. Department, Institution, City, Country 3. Department, Institution, City, Country ∗ E-mail: author@ Abstract Submission This year, abstract submission provides the opportunity to be considered for both oral presentations an d a special issue of Molecular Systems Biology. To be considered, every abstract submission must consist of both of the follow in g components: • A 750 character summary (text form at) for the pr in ted abstract booklet; an d • A extended abstract of up to 3 pages an d 500 words ( in clud in g up to 2 figures) in PDF form at, for the onl in e proceed in gs. The extended abstract s will also form the basis for evaluat in g an d select in g the top 8-9 submissions for oral presentations at the conference. Special Issue of Molecular Systems Biology This year, ICSB has a partnership with Molecular Systems Biology (see their website at http: ///msb). Extended abstract s submitted by July 27, 2007 , will be evaluated by a committee consist in g of ICSB reviewers. Authors of selected abstract s will be in vited to submit full m an uscripts for possible publication in Molecular Systems Biology. A special issue of Molecular Systems Biology devoted to ICSB 2007 will be published onl in e in March/April 2008. The full m an uscripts will go through the st an dard review procedure of the journal, but if accepted for publication by the journal, the publication fees (USD $3000) will be paid by ICSB 2007 . Selections will be an nounced on August 17, 2007 , an d authors of selected abstract s will be requested to submit full m an uscripts at http://mts- in the appropriate form at (see http:///msb/authors, “Report” form at) by October 1, 2007 . Molecular Systems Biology will in form authors of the in itial editorial assessment on October 14th. Review results an d decisions will be issued by Molecular Systems Biology on or before December 1, 2007 . Revised m an uscripts will be due from authors in February 2008 an d f in al decisions will be communicated before March 2008. Extended Abstract Instructions The extended abstract must consist of a s in gle camera-ready PDF file conta in in g title, authors, their affiliations, an e-mail contact address, an d the body of the abstract . The follow in g subsections provide the details of the form att in g requirements.

where ( ω B | A S , ω B | ¬ A S ) {\displaystyle (\omega _{B|A}^{S},\omega _{B|\lnot A}^{S})} denotes a pair of binomial conditional opinions, as expressed by source S {\displaystyle S} . The parameter a A {\displaystyle a_{A}} denotes the prior probability (aka. the base rate ) of A {\displaystyle A} . The pair of inverted conditional opinions is denoted ( ω A | ~ B S , ω A | ~ ¬ B S ) {\displaystyle (\omega _{A{\tilde {|}}B}^{S},\omega _{A{\tilde {|}}\lnot B}^{S})} . The conditional opinion ω A | B S {\displaystyle \omega _{A|B}^{S}} generalizes the probabilistic conditional P ( A ∣ B ) {\displaystyle P(A\mid B)} , . in addition to assigning a probability the source S {\displaystyle S} can assign any subjective opinion to the conditional statement ( A ∣ B ) {\displaystyle (A\mid B)} . A binomial subjective opinion ω A S {\displaystyle \omega _{A}^{S}} is the belief in the truth of statement A {\displaystyle A} with degrees of uncertainty, as expressed by source S {\displaystyle S} . Every subjective opinion has a corresponding projected probability P ( ω A S ) {\displaystyle P(\omega _{A}^{S})} . The projected probability of opinions applied to Bayes' theorem produces a homomorphism so that Bayes' theorem can be expressed in terms of the projected probabilities of opinions:

The format of an HSLA color value in the functional notation is ‘ hsla( ’ followed by the hue in degrees, saturation and lightness as a percentage, and an <alphavalue> , followed by ‘ ) ’. White space characters are allowed around the numerical values. Implementations must clip the hue, saturation, and lightness components of HSLA color values to the device gamut according to the rules for the HSL color value composed of those components. These examples specify effects that are possible with the hsla() notation: Example(s):