AI Medical Compendium Journal:
STAR protocols

Showing 11 to 20 of 46 articles

Protocol to perform integrative analysis of high-dimensional single-cell multimodal data using an interpretable deep learning technique.

STAR protocols
The advent of single-cell multi-omics sequencing technology makes it possible for researchers to leverage multiple modalities for individual cells. Here, we present a protocol to perform integrative analysis of high-dimensional single-cell multimodal...

Protocol for creating representations of molecular structures using a polymer-specific decoder.

STAR protocols
To supply chemical structures of polymers for machine learning applications, decoding is necessary. Here, we present a protocol for generating polymer fingerprints (PFPs), which are representations of molecular structures, using a polymer-specific de...

Protocol to identify biomarkers in patients with post-COVID condition using multi-omics and machine learning analysis of human plasma.

STAR protocols
Here, we present a workflow for analyzing multi-omics data of plasma samples in patients with post-COVID condition (PCC). Applicable to various diseases, we outline steps for data preprocessing and integrating diverse assay datasets. Then, we detail ...

Protocol to explain support vector machine predictions via exact Shapley value computation.

STAR protocols
Shapley values from cooperative game theory are adapted for explaining machine learning predictions. For large feature sets used in machine learning, Shapley values are approximated. We present a protocol for two techniques for explaining support vec...

Protocol to train a support vector machine for the automatic curation of bacterial cell detections in microscopy images.

STAR protocols
Manual curation of bacterial cell detections in microscopy images remains a time-consuming and laborious task. This work offers a comprehensive, step-by-step tutorial on training a support vector machine to autonomously distinguish between good and b...

Machine learning for data-driven design of high-safety lithium metal anode.

STAR protocols
Here, we present a protocol for developing an inorganic-organic hybrid interphase layer using the self-assembled monolayers technique to enhance the surface of the lithium metal anode. We describe steps for extracting organic molecules from open-sour...

Protocol for assessing neighborhood physical disorder using the YOLOv8 deep learning model.

STAR protocols
Neighborhood physical disorder (PD), characterized by disruptions and irregularities in spatial elements, is associated with negative economic, social, and public health outcomes. Here, we present a protocol to quantitatively assess PD utilizing a ra...

Protocol for the design and accelerated optimization of a waste-to-energy system using AI tools.

STAR protocols
Amid a surge in waste volume, the need to achieve sustainable waste treatment has become increasingly important. Here, we present a protocol for the design and accelerated optimization of a waste-to-energy system using artificial intelligence tools. ...

A user-driven machine learning approach for RNA-based sample discrimination and hierarchical classification.

STAR protocols
RNA-based sample discrimination and classification can be used to provide biological insights and/or distinguish between clinical groups. However, finding informative differences between sample groups can be challenging due to the multidimensional an...

Protocol to implement a computational pipeline for biomedical discovery based on a biomedical knowledge graph.

STAR protocols
Biomedical knowledge graphs (BKGs) provide a new paradigm for managing abundant biomedical knowledge efficiently. Today's artificial intelligence techniques enable mining BKGs to discover new knowledge. Here, we present a protocol for implementing a ...