AIMC Topic: Cell Line
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Cell fishing: A similarity based approach and machine learning strategy for multiple cell lines-compound sensitivity prediction.
PloS one
Oct 7, 2019
The prediction of cell-lines sensitivity to a given set of compounds is a very important factor in the optimization of in-vitro assays. To date, the most common prediction strategies are based upon machine learning or other quantitative structure-act...
Evaluating genotoxicity of metal oxide nanoparticles: Application of advanced supervised and unsupervised machine learning techniques.
Ecotoxicology and environmental safety
Sep 30, 2019
Presence of missing data points in datasets is among main challenges in handling the toxicological data for nanomaterials. As the processing of missing data is an important part of data analysis, we have introduced a read-across approach that uses a ...
An in vitro assay and artificial intelligence approach to determine rate constants of nanomaterial-cell interactions.
Scientific reports
Sep 26, 2019
In vitro assays and simulation technologies are powerful methodologies that can inform scientists of nanomaterial (NM) distribution and fate in humans or pre-clinical species. For small molecules, less animal data is often needed because there are a ...
Neuromuscular actuation of biohybrid motile bots.
Proceedings of the National Academy of Sciences of the United States of America
Sep 16, 2019
The integration of muscle cells with soft robotics in recent years has led to the development of biohybrid machines capable of untethered locomotion. A major frontier that currently remains unexplored is neuronal actuation and control of such muscle-...
Predicting the future direction of cell movement with convolutional neural networks.
PloS one
Sep 4, 2019
Image-based deep learning systems, such as convolutional neural networks (CNNs), have recently been applied to cell classification, producing impressive results; however, application of CNNs has been confined to classification of the current cell sta...
Magnetically Actuated Heterogeneous Microcapsule-Robot for the Construction of 3D Bioartificial Architectures.
ACS applied materials & interfaces
Jul 12, 2019
Core-shell microcapsules as one type of the most attractive carriers and reactors have been widely applied in the fields of drug screening and tissue engineering owing to their excellent biocompatibility and semi-permeability. Yet, the spatial organi...
Kinetics of -induced gene silencing can be predicted from combinations of epigenetic and genomic features.
Genome research
Jun 7, 2019
To initiate X-Chromosome inactivation (XCI), the long noncoding RNA mediates chromosome-wide gene silencing of one X Chromosome in female mammals to equalize gene dosage between the sexes. The efficiency of gene silencing is highly variable across g...
Speeding Up the Line-Scan Raman Imaging of Living Cells by Deep Convolutional Neural Network.
Analytical chemistry
May 15, 2019
Raman imaging is a promising technique that allows the spatial distribution of different components in the sample to be obtained using the molecular fingerprint information on individual species. However, the imaging speed is the bottleneck for the c...
The cell line ontology-based representation, integration and analysis of cell lines used in China.
BMC bioinformatics
Apr 25, 2019
BACKGROUND: The Chinese National Infrastructure of Cell Line stores and distributes cell lines for biomedical research in China. This study aims to represent and integrate the information of NICR cell lines into the community-based Cell Line Ontology...
Machine Learning with Optical Phase Signatures for Phenotypic Profiling of Cell Lines.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Apr 22, 2019
Robust and reproducible profiling of cell lines is essential for phenotypic screening assays. The goals of this study were to determine robust and reproducible optical phase signatures of cell lines for classification with machine learning and to cor...
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