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PrismEXP: gene annotation prediction from stratified gene-gene co-expression matrices.
In PeerJ
BACKGROUND :
RESULTS :
CONCLUSIONS :
Lachmann Alexander, Rizzo Kaeli A, Bartal Alon, Jeon Minji, Clarke Daniel J B, Ma’ayan Avi
2023
Druggable genome, Gene expression, Gene function predictions, RNA-seq, Transcriptomics, Unsupervised learning

WhoseEgg: classification software for invasive carp eggs.
In PeerJ
Goode Katherine, Weber Michael J, Dixon Philip M
2023
Bigheaded carp, Invasive species, Machine learning, Morphometrics, R Shiny, Random forests, Reproduction

Integration of surface-enhanced Raman spectroscopy (SERS) and machine learning tools for coffee beverage classification.
In Digital Chemical Engineering
Hu Qiang, Sellers Chase, Kwon Joseph Sang-Il, Wu Hung-Jen
2022-Jun
Classification, Coffee, Feature extraction, Machine learning, Surface-enhanced Raman spectroscopy (SERS)

Morphological characteristics of retinal vessels in eyes with high myopia: Ultra-wide field images analyzed by artificial intelligence using a transfer learning system.
In Frontiers in medicine
PURPOSE :
METHODS :
RESULTS :
CONCLUSION :
Mao Jianbo, Deng Xinyi, Ye Yu, Liu Hui, Fang Yuyan, Zhang Zhengxi, Chen Nuo, Sun Mingzhai, Shen Lijun
2022
choroidal neovascularization, deep learning, high myopia, ultra-wide field imaging, vascular morphology

Impact evaluation and economic benefit analysis of a domestic violence and abuse UK police intervention.
In Frontiers in psychology ; h5-index 92.0
Karavias Yiannis, Bandyopadhyay Siddhartha, Christie Christine, Bradbury-Jones Caroline, Taylor Julie, Kane Eddie, Flowe Heather D
2023
Crime Harm Index, batterer intervention program, domestic violence and abuse, economic evaluation, evidence-based policing, intimate partner violence, machine learning

Deep Learning Models for Cystoscopic Recognition of Hunner Lesion in Interstitial Cystitis.
In European urology open science
BACKGROUND :
OBJECTIVE :
DESIGN SETTING AND PARTICIPANTS :
OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS :
RESULTS AND LIMITATIONS :
CONCLUSIONS :
PATIENT SUMMARY :
Iwaki Takuya, Akiyama Yoshiyuki, Nosato Hirokazu, Kinjo Manami, Niimi Aya, Taguchi Satoru, Yamada Yuta, Sato Yusuke, Kawai Taketo, Yamada Daisuke, Sakanashi Hidenori, Kume Haruki, Homma Yukio, Fukuhara Hiroshi
2023-Mar
Artificial intelligence, Bladder pain syndrome, Deep learning, Hunner lesion, Interstitial cystitis
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