Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Genes can participate in multiple biological processes at a time and thus their expression can be seen as a composition of the contributions from the active processes. Biclustering under a plaid assumption allows the modeling of interactions beten transcriptional modules or biclusters (subsets of genes with coherence across subsets of conditions) by assuming an additive composition of contributions in their overlapping areas. Despite the biological interest of plaid models, few biclustering algorithms consider plaid effects and, when they do, they place restrictions on the allod types and structures of biclusters, and suffer from robustness problems by seizing exact additive matchings.  propose BiP (Biclustering using Plaid models), a biclustering algorithm with relaxations to allow expression levels to change in overlapping areas according to biologically meaningful assumptions (ighted and noise-tolerant composition of contributions). BiP can be used over existing biclustering solutions (seizing their benefits) as it is able to recover excluded areas due to unaccounted plaid effects and detect noisy areas non-explained by a plaid assumption, thus producing an explanatory model of overlapping transcriptional activity. Experiments on synthetic data support BiP’s efficiency and effectiveness. The learned models from expression data unravel meaningful and non-trivial functional interactions beten biological processes associated with putative regulatory modules.
['Rui Henriques', 'Sara C. Madeira']
I am writing a research paper on a idea Biclustering with flexible plaid models to unravel interactions between biological processes
[{"from": "human", "value": "I am writing a research paper on a idea Biclustering with flexible plaid models to unravel interactions between biological processes"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Genes can participate in multiple biological processes at a time and thus their expression can be seen as a composition of the contributions from the active processes. Biclustering under a plaid assumption allows the modeling of interactions beten transcriptional modules or biclusters (subsets of genes with coherence across subsets of conditions) by assuming an additive composition of contributions in their overlapping areas. Despite the biological interest of plaid models, few biclustering algorithms consider plaid effects and, when they do, they place restrictions on the allod types and structures of biclusters, and suffer from robustness problems by seizing exact additive matchings.  propose BiP (Biclustering using Plaid models), a biclustering algorithm with relaxations to allow expression levels to change in overlapping areas according to biologically meaningful assumptions (ighted and noise-tolerant composition of contributions). BiP can be used over existing biclustering solutions (seizing their benefits) as it is able to recover excluded areas due to unaccounted plaid effects and detect noisy areas non-explained by a plaid assumption, thus producing an explanatory model of overlapping transcriptional activity. Experiments on synthetic data support BiP\u2019s efficiency and effectiveness. The learned models from expression data unravel meaningful and non-trivial functional interactions beten biological processes associated with putative regulatory modules."}]