Table 1 Performance comparison of PALMER and competing algorithms, including PALMER without constraints (“Unconstrained”), block EM (“BEM”), block classification EM (“BCEM”), block stochastic EM algorithms (“BSEM”), and block Gibbs sampler (“BGibbs”)
Strong SNR | Weak SNR | |||
|---|---|---|---|---|
Gene | GO term | Gene | GO term | |
PALMER | 0.00 (0.00) | 0.01 (0.01) | 0.05 (0.03) | 0.02 (0.02) |
Unconstrained | 0.01 (0.05) | 0.01 (0.03) | 0.42 (0.11) | 0.31 (0.11) |
BEM | 0.13 (0.21) | 0.10 (0.15) | 0.45 (0.04) | 0.34 (0.06) |
BCEM | 0.10 (0.19) | 0.08 (0.14) | 0.45 (005) | 0.36 (0.05) |
BSEM | 0.03 (0.11) | 0.03 (0.09) | 0.45 (0.08) | 0.54 (0.08) |
BGibbs | 0.33 (0.18) | 0.46 (0.20) | 0.47 (0.03) | 0.46 (0.05) |