Computational Intelligence

# MAHN for disease-metabolite associations prediction

 

## Dependecies

- Python 3.9

- pytorch 1.12.1

- dgl 1.1.1

- numpy 1.22.4

- pandas 1.4.4

 

## Dataset

disease-metabolite associations:association_DME.xlsx

disease-microbe associations:association_DMI.xlsx

microbe-metabolite associations:association_MIME.xlsx

disease semantic networks based on metapath DMED and DMID:A_DMED.xlsx and A_DMID.xlsx

metabolite semantic networks based on metapath MEDME and MEMIME: A_MEDME.xlsx and A_MEMIME.xlsx 

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Please cite the following paper when using this dataset:

N. Thakur, K. A. Patel, I. Hall, Y. N. Duggal, and S. Cui, “A Dataset of Search Interests related to Disease X originating from different Geographic Regions”, Preprints 2023, 2023081701, DOI: https://doi.org/10.20944/preprints202308.1701.v1

Abstract:

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694 Views

The dataset that we published in this data repository can be used to build neural networks-based inverse kinematics for NAO robot arms. This dataset is named ARKOMA. ARKOMA is an acronym for ARif eKO MAuridhi, all of whom are the creators of this dataset. This dataset contains input-output data pairs. In this dataset, the input data is the end-effector position and orientation, while the output data is a set of joint angular positions. For further applications, this dataset was split into the training dataset, validation dataset, and testing dataset.

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598 Views

Most plant diseases have observable symptoms, and the widely used approach to detect plant leaf disease is by visually examining the affected plant leaves. A model which might carry out the feature extraction without any errors will process the classification task successfully.  The technology currently faces certain limitations such as a large parameter count, slow detection speed, and inadequate performance in detecting small dense spots. These factors restrict the practical applications of the technology in the field of agriculture.

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848 Views

In Nigeria, access to proper medical services is not only costly but also not readily available. We are faced with different problems that require immediate attention (first-aid) to save life before we can get access to proper medical attention from professionals in hospitals and clinics which may be some miles away from our location at that instant. A lot of us do not know how to administer First-Aid in different circumstances that we find ourselves.

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15 Views

This data collection focuses on capturing user-generated content from the popular social network Reddit during the year 2023. This dataset comprises 29 user-friendly CSV files collected from Reddit, containing textual data associated with various emotions and related concepts.

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2036 Views

Problems related to ventral hernia are very common, and evaluating them using computational methods can assist in selecting the most appropriate treatment. This study collected data from over 3500 patients from different European countries observed during last 11 years (2012-2022), which were collected by specialists in hernia surgery. The majority of patients underwent standard surgical procedures, with a growing trend towards robotic surgery. This paper focuses on statistically evaluating the treatment methods in relation to  patient age, body mass index (BMI), and the type of repair.

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231 Views

The e-nose device used in this study was constructed using a gas sensor array, LCD display, micro air pumps for inhalation and exhalation, a microcontroller, and a mini-PC. Gas samples from the sample chamber were periodically drawn into the device through a hose. Each sample underwent a 30-hour sampling process at room temperature (25°C). The sampling frequency was 15 times per hour, resulting in 60 records per sample.

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749 Views

To illustrate the impact of the obstacles, we consider indoor and outdoor scenarios. We consider the Department of Computer Science and Engineering, IIT(BHU) buildings as indoor buildings and the railway platform as an outdoor scenario. Here, we use single-channel LG in our experiment. The distance between LNs and LG varies from 5 to 50 meters. The floor map illustrates the walls, doors, and windows between LNs and LG. We consider railway stations for the outdoor environment. The outdoor environment did not consist of obstacles between LNs and LG.

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305 Views

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