AIMC Topic: Animals

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Predicting gene regulatory interactions based on spatial gene expression data and deep learning.

PLoS computational biology
Reverse engineering of gene regulatory networks (GRNs) is a central task in systems biology. Most of the existing methods for GRN inference rely on gene co-expression analysis or TF-target binding information, where the determination of co-expression...

Machine learning algorithm as a diagnostic tool for hypoadrenocorticism in dogs.

Domestic animal endocrinology
Canine hypoadrenocorticism (CHA) is a life-threatening condition that affects approximately 3 of 1,000 dogs. It has a wide array of clinical signs and is known to mimic other disease processes, including kidney and gastrointestinal diseases, creating...

Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks.

Neural computation
Deep convolutional neural networks (CNNs) are becoming increasingly popular models to predict neural responses in visual cortex. However, contextual effects, which are prevalent in neural processing and in perception, are not explicitly handled by cu...

Mutual Inhibition with Few Inhibitory Cells via Nonlinear Inhibitory Synaptic Interaction.

Neural computation
In computational neural network models, neurons are usually allowed to excite some and inhibit other neurons, depending on the weight of their synaptic connections. The traditional way to transform such networks into networks that obey Dale's law (i....

Neuromuscular actuation of biohybrid motile bots.

Proceedings of the National Academy of Sciences of the United States of America
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-...

Big Data and Artificial Intelligence Modeling for Drug Discovery.

Annual review of pharmacology and toxicology
Due to the massive data sets available for drug candidates, modern drug discovery has advanced to the big data era. Central to this shift is the development of artificial intelligence approaches to implementing innovative modeling based on the dynami...

Unsupervised machine learning using an imaging mass spectrometry dataset automatically reassembles grey and white matter.

Scientific reports
Current histological and anatomical analysis techniques, including fluorescence in situ hybridisation, immunohistochemistry, immunofluorescence, immunoelectron microscopy and fluorescent fusion protein, have revealed great distribution diversity of m...

A classification model for lncRNA and mRNA based on k-mers and a convolutional neural network.

BMC bioinformatics
BACKGROUND: Long-chain non-coding RNA (lncRNA) is closely related to many biological activities. Since its sequence structure is similar to that of messenger RNA (mRNA), it is difficult to distinguish between the two based only on sequence biometrics...

Extremely large sweep amplitude enables high wing loading in giant hovering insects.

Bioinspiration & biomimetics
Beetle Allomyrina dichotoma is one of the largest insects that performs many remarkable modes of locomotion, particularly hovering flight capability. In order to stay airborne, its flexible hindwings are flapped so as to work as a thrust generator. H...

Bio-inspired robotic dog paddling: kinematic and hydro-dynamic analysis.

Bioinspiration & biomimetics
Research on quadrupedal robots inspired by canids or felids have been widely reported and demonstrated. However, none of these legged robots can deal with difficult environments that include water, such as small lakes, streams, rain, mud, flooded ter...