DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications
Motivation Computational methods that predict differential gene expression from histone
modification signals are highly desirable for understanding how histone modifications …
modification signals are highly desirable for understanding how histone modifications …
Development of the InTelligence and machine LEarning (TAME) Toolkit for introductory data science, chemical-biological analyses, predictive modeling, and database …
Research in environmental health is becoming increasingly reliant upon data science and
computational methods that can more efficiently extract information from complex datasets …
computational methods that can more efficiently extract information from complex datasets …
Research directives toward deciphering adverse outcome pathways induced by environmental metallotoxins
DA Sarigiannis, A Salifoglou - Current Opinion in Chemical Engineering, 2016 - Elsevier
Highlights•Environmental metallotoxins pose a systemic health risk to humans.•Research
directives necessitate exposome perusal through systems biology approaches.•Biophysical …
directives necessitate exposome perusal through systems biology approaches.•Biophysical …
Case Study-Based Approaches of Systems Biology in Addressing Infectious Diseases
S Dutta, A Ghosh - … and Understanding Mechanisms of Complex Diseases, 2024 - Springer
Abstract The Systems Biology Consortium for Infectious Diseases presents a novel
approach to understanding and combating infectious diseases by integrating the principles …
approach to understanding and combating infectious diseases by integrating the principles …
Integrating morphological and behavioral phenotypes in developing zebrafish
The zebrafish, with its prolific reproduction, rapid development, and genetic homology to
humans, provides an ideal model to efficiently characterize behavioral, developmental, and …
humans, provides an ideal model to efficiently characterize behavioral, developmental, and …