Parcourir par sujet "Biological process"
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BUFET: Boosting the unbiased miRNA functional enrichment analysis using bitsets
(2017)Background: A group of miRNAs can regulate a biological process by targeting genes involved in the process. The unbiased miRNA functional enrichment analysis is the most precise in silico approach to predict the biological ... -
Classification of apoptosis using advanced clustering techniques on digital microscopic images
(2010)Programmed cell death, also known as apoptosis is of fundamental importance in many biological processes and also highly associated with serious diseases like cancer and HIV. The current paper presents an innovative method ... -
Daily temperature optimisation in greenhouse by reinforcement learning
(2005)The goal of this study is to show the usefulness of reinforcement learning (RL) to solve a common greenhouse climate optimisation problem. The problem is to minimise the daily heating cost while achieving simultaneously ... -
Deep learning in water resources management: The case study of Kastoria lake in Greece
(2021)The effects of climate change on water resources management have drawn worldwide attention. Water quality predictions that are both reliable and precise are critical for an effective water resources management. Although ... -
Enhancing Clustering of Single-Cell RNA-Seq Data by Proximity Learning on Random Projected Spaces
(2019)We are in the era of single-cell RNA sequencing technology, which offers a great potential for uncovering cellular differences with a higher resolution, shedding light in various complex biological processes and complex ... -
Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances
(2019)The recent advent in Next Generation Sequencing has created a huge data source which offers a great potential for elucidating complex disease mechanisms and biological processes. A recent technology is the single-cell RNA ...