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MI-MAAP: marker informativeness for multi-ancestry admixed populations

• Authors : Siqi Chen; Sudhir Ghandikota; Yadu Gautam

Subjects: Aancestry informative markers; AIMs; Lancaster estimator of Independence

• Source: BMC Bioinformatics, Vol 21, Iss 1, Pp 1-14 (2020)

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MI-MAAP: marker informativeness for multi-ancestry admixed populations.

• Authors : Chen, Siqi^1,2 (AUTHOR); Ghandikota, Sudhir^1,2 (AUTHOR); Gautam, Yadu¹ (AUTHOR)

• Source: BMC Bioinformatics. 4/3/2020, Vol. 21 Issue 1, p1-14. 14p. 1 Diagram, 4 Charts, 1 Graph, 2 Maps.

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ViroISDC: a method for calling integration sites of hepatitis B virus based on feature encoding

• Authors : Lei Qiao; Chang Li; Wei Lin

Subjects: HBV integration; Detect tools; Deep learning

• Source: BMC Bioinformatics, Vol 25, Iss 1, Pp 1-18 (2024)

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MI-GWAS: a SAS platform for the analysis of inherited and maternal genetic effects in genome-wide association studies using log-linear models

• Authors : Mitchell Laura E; Agopian AJ

Subjects: Computer applications to medicine. Medical informatics; R858-859.7; Biology (General)

• Source: BMC Bioinformatics, Vol 12, Iss 1, p 117 (2011)

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Local data commons: the sleeping beauty in the community of data commons

• Authors : Jong Cheol Jeong; Isaac Hands; Jill M. Kolesar

Subjects: Public data commons; Local data commons; End-to-end model

• Source: BMC Bioinformatics, Vol 23, Iss S12, Pp 1-21 (2022)

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Expression-based species deconvolution and realignment removes misalignment error in multispecies single-cell data

• Authors : Jaeyong Choi; Woochan Lee; Jung-Ki Yoon

Subjects: Single-cell sequencing; Patient-derived xenograft; Bioinformatics pipeline

• Source: BMC Bioinformatics, Vol 23, Iss 1, Pp 1-14 (2022)

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SPECTRA: a tool for enhanced brain wave signal recognition

• Authors : Shiu Kumar; Tatsuhiko Tsunoda; Alok Sharma

Subjects: Brain computer interface (BCI); Common spatial pattern (CSP); Common spatio-spectral pattern (CSSP)

• Source: BMC Bioinformatics, Vol 22, Iss S6, Pp 1-21 (2021)

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MI-GWAS: a SAS platform for the analysis of inherited and maternal genetic effects in genome-wide association studies using log-linear models.

• Authors : Agopian, A. J.¹; Mitchell, Laura E.¹

• Source: BMC Bioinformatics. 2011, Vol. 12 Issue 1, p117-123. 7p.

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Identifying diseases that cause psychological trauma and social avoidance by GCN-Xgboost

• Authors : Huijuan Xu; Hairong Wang; Chenshan Yuan

Subjects: Graph convolutional network; Xgboost; Psychological trauma

• Source: BMC Bioinformatics, Vol 21, Iss S16, Pp 1-16 (2020)

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A comparative analysis of mutual information methods for pairwise relationship detection in metagenomic data.

• Authors : Francis, Dallace¹ (AUTHOR) ; Sun, Fengzhu¹ (AUTHOR)

• Source: BMC Bioinformatics. 8/14/2024, Vol. 25 Issue 1, p1-21. 21p.

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