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Employing phylogenetic tree shape statistics to resolve the underlying host population structure.

• Authors : Kayondo HW; Institute of Basic Sciences, Technology and Innovation (PAUSTI), Pan African University, Nairobi, Kenya. .; Department of Mathematics, Makerere University, Kampala, Uganda. .

Subjects: Machine Learning* ; Support Vector Machine*; Algorithms

• Source: BMC bioinformatics [BMC Bioinformatics] 2021 Nov 10; Vol. 22 (1), pp. 546. Date of Electronic Publication: 2021 Nov 10.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium:

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A graph-based gene selection method for medical diagnosis problems using a many-objective PSO algorithm.

• Authors : Azadifar S; Faculty of Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran. .; Ahmadi A

Subjects: Algorithms* ; Support Vector Machine*; Cluster Analysis

• Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2021 Nov 27; Vol. 21 (1), pp. 333. Date of Electronic Publication: 2021 Nov 27.Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium:

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Machine learning in medicine: a practical introduction.

• Authors : Sidey-Gibbons JAM; Department of Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ, UK.; Sidey-Gibbons CJ

Subjects: Algorithms* ; Machine Learning* ; Neural Networks, Computer*

• Source: BMC medical research methodology [BMC Med Res Methodol] 2019 Mar 19; Vol. 19 (1), pp. 64. Date of Electronic Publication: 2019 Mar 19.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium:

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A sequence-based multiple kernel model for identifying DNA-binding proteins.

• Authors : Qian Y; School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou, People's Republic of China.; Jiang L

Subjects: DNA-Binding Proteins* ; Support Vector Machine*; Machine Learning

• Source: BMC bioinformatics [BMC Bioinformatics] 2021 May 31; Vol. 22 (Suppl 3), pp. 291. Date of Electronic Publication: 2021 May 31.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium:

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Optimal projection method determination by Logdet Divergence and perturbed von-Neumann Divergence.

• Authors : Jiang H; Department of Mathematics, School of Information, Renmin University of China, No.59 Zhong Guan Cun Street, Hai Dian District, Beijing, 100872, China.; Ching WK

Subjects: Supervised Machine Learning* ; Support Vector Machine*; Algorithms

• Source: BMC systems biology [BMC Syst Biol] 2017 Dec 14; Vol. 11 (Suppl 6), pp. 115. Date of Electronic Publication: 2017 Dec 14.Publisher: BioMed Central Country of Publication: England NLM ID: 101301827 Publication Model: Electronic Cited Medium:

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DeepQA: improving the estimation of single protein model quality with deep belief networks.

• Authors : Cao R; Department of Computer Science, Pacific Lutheran University, Tacoma, WA, 98447, USA.; Bhattacharya D

Subjects: Machine Learning* ; Models, Molecular* ; Neural Networks, Computer*

• Source: BMC bioinformatics [BMC Bioinformatics] 2016 Dec 05; Vol. 17 (1), pp. 495. Date of Electronic Publication: 2016 Dec 05.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium:

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Optimizing cardiovascular disease mortality prediction: a super learner approach in the tehran lipid and glucose study.

• Authors : Darabi, Parvaneh¹ (AUTHOR); Gharibzadeh, Safoora² (AUTHOR) ; Khalili, Davood³ (AUTHOR)

• Source: BMC Medical Informatics & Decision Making. 4/16/2024, Vol. 24 Issue 1, p1-13. 13p.

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Predicting blood pressure from physiological index data using the SVR algorithm.

• Authors : Zhang B; School of Information Science and Engineering, Yanshan University, Hebei Avenue, Qinhuangdao, 066004, China.; The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Hebei Avenue, Qinhuangdao, 066004, China.

Subjects: Support Vector Machine*; Blood Pressure/Blood Pressure/Blood Pressure/*physiology; Adult

• Source: BMC bioinformatics [BMC Bioinformatics] 2019 Feb 28; Vol. 20 (1), pp. 109. Date of Electronic Publication: 2019 Feb 28.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium:

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m6A-TCPred: a web server to predict tissue-conserved human m6A sites using machine learning approach.

• Authors : Tu, Gang¹ (AUTHOR); Wang, Xuan^1,2 (AUTHOR) ; Xia, Rong³ (AUTHOR)

• Source: BMC Bioinformatics. 3/25/2024, Vol. 25 Issue 1, p1-12. 12p.

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Optimal combination of feature selection and classification via local hyperplane based learning strategy.

• Authors : Cheng X; School of Computer Science& Engineering, South China University of Technology, Guangdong, China. .; Cai H

Subjects: Cluster Analysis* ; Discriminant Analysis* ; Support Vector Machine*

• Source: BMC bioinformatics [BMC Bioinformatics] 2015 Jul 10; Vol. 16, pp. 219. Date of Electronic Publication: 2015 Jul 10.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium:

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