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    Accurate and robust prediction of genetic relationship from whole-genome sequences. by Hong Li, Gustavo Glusman, Chad Huff, Juan Caballero, Jared C Roach

    Published 2014-01-01
    “…We developed an algorithm for estimation of genetic relationship by averaged blocks (GRAB) that is designed for whole-genome sequencing (WGS) data. …”
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    Article
  3. 23

    Tumor segmentation in whole-slide histology images using deep learning by V. A. Kovalev, V. A. Liauchuk, A. A. Kalinovski, M. V. Fridman

    Published 2019-06-01
    “…The proposed algorithm of segmentation of whole slide histological images can be used in computerized diagnosis of cancer for detection and segmentation of malignant tumors.…”
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    Article
  4. 24

    Optimized detection of insertions/deletions (INDELs) in whole-exome sequencing data. by Bo-Young Kim, Jung Hoon Park, Hye-Yeong Jo, Soo Kyung Koo, Mi-Hyun Park

    Published 2017-01-01
    “…To evaluate INDEL calling from whole-exome sequencing (WES) data, we performed Sanger sequencing for all INDELs called from the several calling algorithm. …”
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    Article
  5. 25

    Assessing the quality of whole slide images in cytology from nuclei features by Paul Barthe, Romain Brixtel, Yann Caillot, Benoît Lemoine, Arnaud Renouf, Vianney Thurotte, Ouarda Beniken, Sébastien Bougleux, Olivier Lézoray

    Published 2025-04-01
    “…Background and objective: Implementation of machine learning and artificial intelligence algorithms into digital pathology laboratories faces several challenges, notably the variation in whole slide image preparation protocols. …”
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    Article
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    Automated whole animal bio-imaging assay for human cancer dissemination. by Veerander P S Ghotra, Shuning He, Hans de Bont, Wietske van der Ent, Herman P Spaink, Bob van de Water, B Ewa Snaar-Jagalska, Erik H J Danen

    Published 2012-01-01
    “…Six days after implantation of cancer cells in zebrafish embryos, automated imaging in 96 well plates coupled to image analysis algorithms quantifies spreading throughout the host. …”
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    Article
  8. 28

    Exploring dynamical whole-brain models in high-dimensional parameter spaces. by Kevin J Wischnewski, Florian Jarre, Simon B Eickhoff, Oleksandr V Popovych

    Published 2025-01-01
    “…Personalized modeling of the resting-state brain activity implies the usage of dynamical whole-brain models with high-dimensional model parameter spaces. …”
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    Article
  9. 29

    Machine learning to predict the source of campylobacteriosis using whole genome data. by Nicolas Arning, Samuel K Sheppard, Sion Bayliss, David A Clifton, Daniel J Wilson

    Published 2021-10-01
    “…Here, we broaden the input data spectrum to include core genome MLST (cgMLST) and whole genome sequences (WGS), and implement multiple machine learning algorithms, allowing more accurate source attribution. …”
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    Article
  10. 30

    The accuracy of an electronic-Surprise-Question defining end-of-life cohorts in a whole adult population by algorithmic digital risk stratification: the Proactive Risk-Based and Data-Driven Assessment of Patients at the End of Life (PRADA)Research in context by Baldev M. Singh, Nisha Kumari-Dewat, Vijay Klaire, Jonathan Lampitt, Amy Palmer, Adam Ryder, Kamran Ahmed, Mona Sidhu, Hannah Jennens, Ananth Viswanath, Emma Parry

    Published 2025-05-01
    “…We have developed, tested, validated a mortality probability algorithm with that level of scalability. Methods: This was a prospective whole adult population cohort study in Wolverhampton, a high deprivation, multiethnic city in the UK. …”
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    Article
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    Genetic analysis of non-syndromic peg lateralis using whole-exome sequencing by Junglim Choi, Junglim Choi, Sungnam Kim, Hyunsoo Ahn, Donghyo Kim, Sung-Won Cho, Sanguk Kim, Sanguk Kim, Sanguk Kim, Jae Hoon Lee

    Published 2025-08-01
    “…Here, we aimed to identify potential candidate genes contributing to the development of non-syndromic peg lateralis via whole-exome sequencing (WES).MethodsSaliva samples were collected from 20 unrelated Korean individuals with non-syndromic peg lateralis. …”
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    Article
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    A Study of Deep Learning Neural Network Algorithms and Genetic Algorithms for FJSP by Xiaofeng Shang

    Published 2023-01-01
    “…The new improved algorithm is based on the combination of deep learning neural networks LSTM and CNN with genetic algorithm (GA), namely, CNN-LSTM-GA algorithm. …”
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    Article
  15. 35

    Clinical implications of deep learning based image analysis of whole radical prostatectomy specimens by Tae-Yeong Kwak, Chan Ho Lee, Won Young Park, Ja Yoon Ku, Chang Wook Jeong, Eu Chang Hwang, Seock Hwan Choi, Joonyoung Cho, Hyeyoon Chang, Kyung Hwan Kim, Byeong Jin Kang, Sun Woo Kim, Hong Koo Ha

    Published 2025-03-01
    “…In this study, we evaluated the clinical feasibility and prognostic value of a DLIA algorithm for Gleason grading and tumor quantification on whole RP specimens. …”
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    Article
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    Management and outcome of whole-spine epidural abscesses – institutional case series and systematic review by Erik Schulz, Linda Bättig, Felix C. Stengel, Lorenzo Bertulli, Nader Hejrati, Maximilian Wegener, Carol Strahm, Benjamin Martens, Martin N. Stienen, Stefan Motov

    Published 2025-01-01
    “…Background: Whole-spine epidural abscesses (WSEAs) are rare infections with potentially devastating neurological sequelae. …”
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    Article
  18. 38

    Compressibility and the Algorithmic Theory of Laws by Billy Wheeler

    Published 2019-12-01
    “…The algorithmic theory of laws claims that the laws of nature are the algorithms in the best possible compression of all empirical data. …”
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  19. 39

    Fast homozygosity mapping and identification of a zebrafish ENU-induced mutation by whole-genome sequencing. by Marianne L Voz, Wouter Coppieters, Isabelle Manfroid, Ariane Baudhuin, Virginie Von Berg, Carole Charlier, Dirk Meyer, Wolfgang Driever, Joseph A Martial, Bernard Peers

    Published 2012-01-01
    “…Here, we show that high-throughput sequencing of the whole zebrafish genome can directly locate the interval carrying the causative mutation and at the same time pinpoint the molecular lesion. …”
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  20. 40

    Identification and Compensation of Detection Gain Asymmetry Errors for Hemispherical Resonant Gyroscopes in Whole-Angle Mode by Ruizhao Cheng, Gongliu Yang, Qingzhong Cai, Xiaodi Yi, Yongqiang Tu

    Published 2025-06-01
    “…Secondly, a parameter estimation algorithm based on force-to-rebalance (FTR) mode is proposed to decouple and identify the detection gain asymmetry error and damping asymmetry error. …”
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    Article