Sentence examples for probability of alteration from inspiring English sources

Different metrics have been proposed to integrate the probability of alteration of a sector of the cellular network (pathway) and the relative importance of that pathway in the context of the biological problem, such as the probability vector [19], the impact factor (IF) [21].

No hard thresholds are imposed, and thus the user decides what constitutes sufficient evidence (in terms of probability of alteration) to call a probe gained (or lost).

Finally, both algorithms use at most two parameters and their biological meaning is immediate: probability of alteration, and number of samples that share an alteration.

Probabilities can be used in contexts from basic research to clinical applications (Lockwood et al., 2006; Pinkel and Albertson, 2005) so that a clinician might require high certainty of alteration of a specific gene before invasive procedures, whereas a basic researcher can consider for further study genes that show only a moderate probability of alteration.

The identification of these regions should use the information about the probability of alteration (to avoid giving the same weight to probes with strong and weak evidence of alteration), and should allow the discovery of regions over subsets of samples as it is known that many complex diseases, such as cancer or autism, are composed of subtypes of syndromes (Sebat, 2007).

Thus, we explored the probability of alterations in the expression of Nrf2 transcription factor, a master regulator of endogenous antioxidative systems [ 36– 38] being involved in cell survival.

The probabilities that we use are not the marginal probabilities of alteration but the joint probabilities of alteration of a region of probes.

Both methods use probabilities of alteration as returned by the non-homogeneous HMM.

The few approaches that return probabilities of alteration either do not use distance between probes, or fix the number of possible states of alteration to three or four, a biologically unrealistic assumption.

We have developed a freely available R package, RJaCGH, for the analysis of aCGH data that incorporates distance between probes, returns probabilities of alteration and allows the identification of recurrent regions of CNA.

If probabilities of alteration are desired (but finding recurrent regions or incorporating distance between probes is not needed), the bcp method of (Erdman and Emerson, 2007, 2008) is a much faster alternative.