S. Markov and Y. Akyildiz, 
"Curve Fitting and Interpolation of Biological Data
Under Uncertainties", 
<I>Journal of Universal Computer Science</I>, 
1996, Vol. 2, A special issue, <I>Proceedings of BIOMATH-95</I>
(electronic journal; available at www server:  
<a href=" http://hgiicm.tu-graz.ac.at">click here</a>).
<P>

This paper is devoted to the software implementation
of two mathematical methods which are often used in biological
applications: interpolation and curve fitting in the presence of
uncertainties in the input data given in the form of intervals.  The
methods involve model functions linear in their parameters and are
formulated by means of simple expressions in terms of interval
arithmetic allowing the computation of verified bounds for the
interpolating/approximating functions.	The methods are demonstrated
for certain classes of nonlinear modeling functions finding
applications in biology. 
<P>

A case study involving enzyme-catalysed
reaction is considered.  
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The numerical results are performed in
the computer algebra system Mathematica, which supports
interval-arithmetic computations. 
<P>

S. Markov and Y. Akyildiz