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Academic Articles & Research Papers
Showing 20 of 192 academic articles
Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann et al. • IEEE Transactions on Computational Biology and Bioinformatics
(2018)
This article reviews recent advances in applying natural language processing (NLP) to Electronic Health Records (EHRs) for computational phenotyping. NLP-based computational phenotyping has numerous applications including diagnosis categori...
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Open Access
DOI: https://doi.org/10.1109/tcbb.2018.2849968
PMC: 6388621
Mark D. Yandell, William H. Majoros • Nature Reviews Genetics
(2002)
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DOI: https://doi.org/10.1038/nrg861
Yousef M, Chowdhury S, Albarouki S, Elhariri A et al. • The oncologist
(2026)
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PMC Public Access (View-Only)
DOI: 10.1093/oncolo/oyag423
PMC: PMC13739285
Grzegorz Mrugacz, Aleksandra Mospinek, Małgorzata Jagielska, Dariusz Miszczak et al. • Biology
(2025)
Background: Artificial Intelligence (AI) has emerged as a transformative tool in in vitro fertilization (IVF) as it has done in other sectors. In IVF, AI offers advancements in embryo selection, treatment personalization, and outcome predic...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/biology15010042
Linda Nötzold, Lukas Frank, Minakshi Gandhi, Maria Polycarpou-Schwarz et al. • Scientific Reports
(2017)
Abstract In recent years, long non-coding RNA (lncRNA) research has identified essential roles of these transcripts in virtually all physiological cellular processes including tumorigenesis, but their functions and molecular mechanisms are ...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-017-02357-0
Liu X, Liu A, Zheng Y, Chen W et al. • BMC genomics
(2026)
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PMC Public Access (View-Only)
DOI: 10.1186/s12864-026-13216-6
PMC: PMC13737912
Gökçen Eraslan, Žiga Avsec, Julien Gagneur, Fabian Joachim Theis • Nature Reviews Genetics
(2019)
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DOI: https://doi.org/10.1038/s41576-019-0122-6
Zhiqiang Zhang, Yi Chen Zhao, Xiangke Liao, Wenqiang Shi et al. • Briefings in Functional Genomics
(2018)
Omics, such as genomics, transcriptome and proteomics, has been affected by the era of big data. A huge amount of high dimensional and complex structured data has made it no longer applicable for conventional machine learning algorithms. Fo...
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DOI: https://doi.org/10.1093/bfgp/ely030
Jun Cheng, Thi Yen Duong Nguyen, Kamil J. Cygan, Muhammed Hasan Çelik et al. • Genome Biology
(2019)
Abstract Predicting the effects of genetic variants on splicing is highly relevant for human genetics. We describe the framework MMSplice (modular modeling of splicing) with which we built the winning model of the CAGI5 exon skipping predic...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13059-019-1653-z
Wan Zhu, Longxiang Xie, Jianye Han, Xiangqian Guo • Cancers
(2020)
Deep learning has been applied to many areas in health care, including imaging diagnosis, digital pathology, prediction of hospital admission, drug design, classification of cancer and stromal cells, doctor assistance, etc. Cancer prognosis...
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DOI: https://doi.org/10.3390/cancers12030603
PMC: 7139576
Yongjin Park, M Kellis • Nature Biotechnology
(2015)
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DOI: https://doi.org/10.1038/nbt.3313
Chengqi Wang, Yibo Dong, Chang Li, Jenna Oberstaller et al. • Genome Biology
(2023)
Abstract Malaria remains one of the deadliest infectious diseases. Transcriptional regulation effects of noncoding variants in this unusual genome of malaria parasites remain elusive. We developed a sequence-based, ab initio deep learning f...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13059-023-03063-z
Chensi Cao, Feng Liu, Hai Tan, Deshou Song et al. • Genomics Proteomics & Bioinformatics
(2018)
Advances in biological and medical technologies have been providing us explosive volumes of biological and physiological data, such as medical images, electroencephalography, genomic and protein sequences. Learning from these data facilitat...
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DOI: https://doi.org/10.1016/j.gpb.2017.07.003
PMC: 6000200
James Zou, Mikael Huss, Abubakar Abid, Pejman Mohammadi et al. • Nature Genetics
(2018)
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Open Access
DOI: https://doi.org/10.1038/s41588-018-0295-5
PMC: 11180539
Christof Angermueller, Tanel Pärnamaa, Leopold Parts, Oliver Stegle • Molecular Systems Biology
(2016)
Technological advances in genomics and imaging have led to an explosion of molecular and cellular profiling data from large numbers of samples. This rapid increase in biological data dimension and acquisition rate is challenging conventiona...
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DOI: https://doi.org/10.15252/msb.20156651
PMC: 4965871
Beatriu Reig, Laura C. Heacock, Krzysztof J. Geras, Linda P. Moy • Journal of Magnetic Resonance Imaging
(2019)
Machine-learning techniques have led to remarkable advances in data extraction and analysis of medical imaging. Applications of machine learning to breast MRI continue to expand rapidly as increasingly accurate 3D breast and lesion segmenta...
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DOI: https://doi.org/10.1002/jmri.26852
PMC: 7085409
Murai K, Kobayashi N, Tarumi W, Nakahata Y et al. • Epigenomics
(2025)
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PMC Public Access (View-Only)
DOI: 10.1080/17501911.2025.2583895
PMC: PMC12826714
Orges Koci, Richard K. Russell, M. Guftar Shaikh, Christine Edwards et al. • Microbiome
(2024)
Abstract Background Shotgun metagenomics for microbial community survey recovers enormous amount of information for microbial genomes that include their abundances, taxonomic, and phylogenetic information, as well as their genomic makeup, t...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s40168-024-01834-9
Liu T, Lei R, Khan IM, Theobald P • BMC genomics
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1186/s12864-026-13103-0
PMC: PMC13737508
Hafsa Habehh, Suril Gohel • Current Genomics
(2021)
Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) technology have brought on substantial strides in predicting and identifying health emergencies, disease populations, and disease state and immune response, among...
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Open Access
DOI: https://doi.org/10.2174/1389202922666210705124359
PMC: 8822225