A fully automatic gridding method for cDNA microarray images

BMC Bioinformatics

Table 8 Conceptual comparison of different methods

Method	Parameters	Sub-grid Detection	Spot Detection	Automatic Detection No. of Spots	Rotation
RTSG	n: Number of sub-grids	√	×	×	√
BSAG	α ,β: Parameters for balancing prior and posterior probability rates	×	√	√	√
GABG	μ, c :Mutation and Crossover rate, p_max: probability of maximum thresh-old, p_low: probability of minimum threshold, f_max : percentage of line with low probability to be a part of grid, T_p: Refinement threshold	√	√	√	√
HCG	λ , σ: Distribution parameters	×	√	√	×
M ³ G	c: Cost parameter	×	√	√	√
OMTG	None	√	√	√	√

Conceptual comparison of our proposed method with other recently proposed methods based on the required number and type of input parameters and features.

ISSN: 1471-2105