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A maximum expectation value of 0.1 was employed as a threshold for peptide identifications.
Default BLASTX parameters were used including a maximum expectation (E -value of 10.
Although likely to exclude a number of bona fide targets, we used a maximum expectation value threshold of two in order to minimise false-positives.
A minimal ProteinProspector protein score of 15, a peptide score of 15, a maximum expectation value of 0.1, and a minimal discriminant score threshold of 0.0 were used for initial identification criteria.
Then, all predicted ORFs were translated into amino acid sequences and compared against the non-redundant protein (nr) database using the BLASTp program, with a maximum expectation value of 1 × 10-6.
We ran the known miRNAs, new miRNAs and 19 23 nt smRNAs against the TSS with a maximum expectation of 5 and an hspsize (which is the length of the region used to score the complementarity between the miRNA and its target) equal to the length of the smRNA (to ensure that the entire sequence of the smRNA is considered by the scoring algorithm).
Similar(52)
Depending on the mathematical implementation, the iterative statistical reconstruction is implemented using a maximum likelihood expectation maximization (MLEM) algorithm or an ordered subsets expectation maximization (OSEM) algorithm [4].
RSEM, based on a general probabilistic model of maximum expectation, was used to estimate gene expression abundance [ 22].
We conducted the analyses under two settings: a strict setting where the maximum expectation was set to ≤2.0 (i.e., low probability of false positives) and a less stringent setting where sequences with a score >2.0 3.0 were allowed.
Sequence alignments were performed using standalone MegaBLAST [ 53] obtained from NCBI, BLAST FTP site [ 54] with default settings except for a window size of 16 (-W 16), maximum expectation value of 1 × 10-10 1e-010-010) alignmentment output (-D 3).
PET data were reconstructed using a maximum likelihood expectation maximization (MLEM) method.
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