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Combining MIL and structural properties of DNA, it models and predicts in vitro transcription factor bindings more accurately than the widely used k-mer counting methods on in vitro protein binding microarray data for twenty mouse transcription factors.
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Suggestions: It would have been more useful to start with ChIP-seq datasets for TFs that have known motifs (derived from protein-binding microarray data, for example), and then evaluate the web tools on their ability to recover the known motifs.
The operons with an identifiable LexA binding site (p-value < 1e-3) were collected and the microarray data for their gene members are shown in Figure 5.
For diseases, we used the Gene Expression Omnibus (GEO) repository to generate microarray data for disease samples and control samples.
Bovine microarray data for typical chondrogenic markers.
Bovine microarray data for previously identified markers.
Microarray data for the silkworm were downloaded from the SilkDB Microarray Browser (Xia et al. 2007).
We cluster the microarray data for both genes and samples.
Among TF affinities predicted from protein binding microarray (PBM) data, only affinity for Rsc30p, Rsc3p, and Rap1p correlated with MLFE (Pearson r = 0.07, r = 0.06, and r = 0.06, respectively).
Protein binding microarray (PBM) data are available for 168 mouse HD proteins, but 14 of these (Dbx1, Hoxb5, Hoxb6, Hoxc6, Irx5, Lhx5, Lhx9, Lmx1b, Obox2, Pax6, Phox2a, Six6, Titf1, Tlx2) were removed from the dataset because their scaled BEEML-PBM PWMs (position weight matrices; see below) had a total information content (IC) <3 std below the mean IC for the entire combined set of motifs.
The protein binding microarray (PBM) data is acquired from [ 5].
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