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Bergmann et al. [ 7] identified biclusters which consist of the set of co-regulated genes and the conditions that induce their co-regulation.
Iterative Signature Algorithm (ISA) was proposed by J. Ihmels et al. [ 35, 36] and applies the signature algorithm in order to find transcription modules, which are self-consistent regulatory unit consisting of a set of co-regulated genes and the experimental conditions that induce their co-regulation.
Given a set of co-regulated genes, finding a set of cooperative TFs regulating them is a challenging problem in studying transcriptional regulation [ 2].
When interested in finding a common regulatory regime for a set of co-regulated genes, the main objective is to find the representative regulators, whereas the mapping of their actual binding sites in the DNA sequences as a secondary objective that may require different statistics.
First, given a set of co-regulated genes, we find a set of TFs that cooperatively regulate the genes in a context-specific manner.
Among a set of observed relevant DNA sequences coming from a set of co-regulated genes, there exist some short, functional yet hidden sub-sequence patterns which recurrently appear across genomic sequences.
Similar(28)
Identifying a regulatory module (RM), a bi-set of co-regulated genes and co-regulating conditions (or samples), has been an important challenge in functional genomics and bioinformatics.
It is important that these genome-wide biases are taken into account by approaches that predict combinatorial regulation in smaller sets of co-regulated genes.
Application of these approaches to gene expression data have led to the recognition that gene regulation is often performed by regulatory programmes or transcriptional modules (TMs); sets of co-regulated genes that share a common biological function and are regulated by a common set of transcription factors.
The analysis approaches investigated here enable the straightforward incorporation of additional information, which may be useful to indentify biomarkers or potential therapeutic targets: sets of co-regulated genes, sub-networks of protein-protein interactions, and clusters of genes regulated by a common miRNA or transcription factor.
Co-occurrence of transcription factor binding motifs in sets of co-regulated genes.
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