AIMC Topic: Oryzias
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Deep learning-enhanced light-field imaging with continuous validation.
Nature methods
May 7, 2021
Visualizing dynamic processes over large, three-dimensional fields of view at high speed is essential for many applications in the life sciences. Light-field microscopy (LFM) has emerged as a tool for fast volumetric image acquisition, but its effect...
Machine Learning Methods for Automated Quantification of Ventricular Dimensions.
Zebrafish
Oct 3, 2019
Medaka () and zebrafish () contribute substantially to our understanding of the genetic and molecular etiology of human cardiovascular diseases. In this context, the quantification of important cardiac functional parameters is fundamental. We have de...
High throughput automated detection of axial malformations in Medaka embryo.
Computers in biology and medicine
Jan 3, 2019
Fish embryo models are widely used as screening tools to assess the efficacy and/or toxicity of chemicals. This assessment involves the analysis of embryo morphological abnormalities. In this article, we propose a multi-scale pipeline to allow automa...
The developmental and evolutionary characteristics of transcription factor binding site clustered regions based on an explainable machine learning model.
Nucleic acids research
Jul 22, 2024
Gene expression is temporally and spatially regulated by the interaction of transcription factors (TFs) and cis-regulatory elements (CREs). The uneven distribution of TF binding sites across the genome poses challenges in understanding how this distr...
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