Then we provided a concise introduction of deep learning applications in genomics and synthetic biology at the levels of DNA, RNA and protein. Finally, we discussed the current challenges and future perspectives of deep learning in genomics.
the workflow of using convolutional neural network in genomics.Then we provided a concise introduction of deep learning applications in genomics and synthetic biology at the levels of DNA,RNA and protein.Finally,we discussed the current challenges and future perspectives of deep learning in genomics. ...
Recently, the application of deep learning (DL) has made great progress in various fields, especially in cancer research. However, to date, the bibliometric analysis of the application of DL in cancer is scarce. Therefore, this study aimed to explore the research status and hotspots of the app...
The application of machine learning (ML) algorithms has substantially advanced analytical methods in various fields of plant science, such as tissue culture [9], plant breeding [10], genomics [11] and entomology and phytopathology [12]. ML algorithms offer valuable solutions for many plant-predicti...
Exploration of cancer immunotherapy targets Gene expression analysis Genomics Machine learning Omics Precision medicine Prediction and classification algorithms for cellular/molecular data Protein structure prediction Proteomics Statistical tools and data analytics in cellular/molecular data ...
The deep learning-based segmentation approach can automatically learn the feature that represents the picture, but it requires a high-performance computer and takes a long time to train the network. With the continual advancement of computer equipment such as Graphic Processing Units (GPU) in recent...
The Little Known Universe of Short Proteins in Insects: A Machine Learning Approach Modern genomics and proteomics technologies are turning out immense quantities of sequenced proteins. The only feasible way to assign functions to this flood of sequences is by applying state-of-the-art computational...
Proteomics is a new technology that has been widely applied in the field of life and health science. It effectively addresses issues related to the impact of dietary structure on organs, tissues, and cells, as well as the changes in proteins in various organs, tissues, and cells under disease...
Despite this breadth of molecular information, the protein level has been, to a large extent, neglected. To understand the potential contribution of proteomics to the molecular characterization of cancer, multiple studies performed detailed comparisons of proteomic profiles and the genomics and ...
The mechanical properties of biological cells, such as elastic modulus and shear modulus, are not only unique tags of cells, but also directly related to and interact with the physiological functions of cells. They play an important role in the process of cells’ growth and death, division, di...