Keshav Aditya R. Premkumar
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View article: Riboflow: Using Deep Learning to Classify Riboswitches With ∼99% Accuracy
Riboflow: Using Deep Learning to Classify Riboswitches With ∼99% Accuracy Open
Riboswitches are cis-regulatory genetic elements that use an aptamer to control gene expression. Specificity to cognate ligand and diversity of such ligands have expanded the functional repertoire of riboswitches to mediate mounting…
View article: Riboflow: using deep learning to classify riboswitches with ~99% accuracy
Riboflow: using deep learning to classify riboswitches with ~99% accuracy Open
Riboswitches are cis-regulatory genetic elements that use an aptamer to control gene expression. Specificity to cognate ligand and diversity of such ligands have expanded the functional repetoire of riboswitches to mediate mounting apt res…
View article: TO IMPROVE THE ACCURACY IN IDENTIFYING BREAST CANCER USING VARIOUS TECHNIQUES OF BIG DATA ANALYSIS.
TO IMPROVE THE ACCURACY IN IDENTIFYING BREAST CANCER USING VARIOUS TECHNIQUES OF BIG DATA ANALYSIS. Open
15Oct 2019 TO IMPROVE THE ACCURACY IN IDENTIFYING BREAST CANCER USING VARIOUS TECHNIQUES OF BIG DATA ANALYSIS. Aurobind Ganesh , K. Vijiyakumar , K. Premkumar and P. Mathivanan. M.Tech, MLIS, Senior System Analyst, NIMHANS Digital Academy,…
View article: PromoterPredict: sequence-based modelling of <i>Escherichia coli</i> σ <sup>70</sup> promoter strength yields logarithmic dependence between promoter strength and sequence
PromoterPredict: sequence-based modelling of <i>Escherichia coli</i> σ <sup>70</sup> promoter strength yields logarithmic dependence between promoter strength and sequence Open
We present PromoterPredict, a dynamic multiple regression approach to predict the strength of Escherichia coli promoters binding the σ 70 factor of RNA polymerase. σ 70 promoters are ubiquitously used in recombinant DNA technology, but cha…
View article: PromoterPredict: sequence-based modelling of <i>Escherichia coli</i> σ <sup>70</sup> promoter strength yields logarithmic dependence between promoter strength and sequence
PromoterPredict: sequence-based modelling of <i>Escherichia coli</i> σ <sup>70</sup> promoter strength yields logarithmic dependence between promoter strength and sequence Open
We present PromoterPredict, a dynamic multiple regression approach to predict the strength of Escherichia coli promoters binding the σ 70 factor of RNA polymerase. σ 70 promoters are ubiquitously used in recombinant DNA technology, but cha…
View article: PromoterPredict: sequence-based modelling of <i>Escherichia coli </i>σ<sup>70</sup> promoter strength yields logarithmic dependence between promoter strength and sequence
PromoterPredict: sequence-based modelling of <i>Escherichia coli </i>σ<sup>70</sup> promoter strength yields logarithmic dependence between promoter strength and sequence Open
We present PromoterPredict, a dynamic multiple regression approach to predict the strength of Escherichia coli promoters binding the σ 70 factor of RNA polymerase. σ 70 promoters are ubiquitously used in recombinant DNA technology, but cha…
View article: PromoterPredict: sequence-based modelling of <i>Escherichia coli</i> σ <sup>70</sup> promoter strength yields logarithmic dependence between promoter strength and sequence
PromoterPredict: sequence-based modelling of <i>Escherichia coli</i> σ <sup>70</sup> promoter strength yields logarithmic dependence between promoter strength and sequence Open
We present PromoterPredict, a dynamic multiple regression approach to predict the strength of Escherichia coli promoters binding the σ 70 factor of RNA polymerase. σ 70 promoters are ubiquitously used in recombinant DNA technology, but cha…
View article: PromoterPredict: sequence-based modelling of <i>Escherichia coli</i> σ<sup>70</sup> promoter strength yields logarithmic dependence between promoter strength and sequence
PromoterPredict: sequence-based modelling of <i>Escherichia coli</i> σ<sup>70</sup> promoter strength yields logarithmic dependence between promoter strength and sequence Open
We present PromoterPredict, a dynamic multiple regression approach to predict the strength of Escherichia coli promoters binding the σ 70 factor of RNA polymerase. σ 70 promoters are ubiquitously used in recombinant DNA technology, but cha…