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Publication : briefings in bioinformatics

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Academic Journal

Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes.

Authors : Davidson, Lena¹ (AUTHOR); Boland, Mary Regina² (AUTHOR)

Source: Briefings in Bioinformatics. Sep2021, Vol. 22 Issue 5, p1-29. 29p.

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Academic Journal

A bioimage informatics platform for high-throughput embryo phenotyping.

Authors : Brown, James M¹ ; Horner, Neil R¹; Lawson, Thomas N¹

Source: Briefings in Bioinformatics. Jan2018, Vol. 19 Issue 1, p41-51. 11p.

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Academic Journal

Sample size calculation in metabolic phenotyping studies.

Authors : Billoir, Elise¹; Navratil, Vincent²; Blaise, Benjamin J.³

Source: Briefings in Bioinformatics. Sep2015, Vol. 16 Issue 5, p813-819. 7p.

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PCAO2: an ontology for integration of prostate cancer associated genotypic, phenotypic and lifestyle data.

Authors : Yu, Chunjiang^1,2,3 (AUTHOR); Zong, Hui¹ (AUTHOR); Chen, Yalan^1,3,4 (AUTHOR)

Source: Briefings in Bioinformatics. May2024, Vol. 25 Issue 3, p1-10. 10p.

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Academic Journal

The digital revolution in phenotyping.

Authors : Oellrich, Anika¹ ; Collier, Nigel²; Groza, Tudor³

Source: Briefings in Bioinformatics. Sep2016, Vol. 17 Issue 5, p819-830. 12p.

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Assessing computational predictions of antimicrobial resistance phenotypes from microbial genomes.

Authors : Hu, Kaixin^1,2 (AUTHOR); Meyer, Fernando^1,2 (AUTHOR); Deng, Zhi-Luo^1,2 (AUTHOR)

Source: Briefings in Bioinformatics. May2024, Vol. 25 Issue 3, p1-14. 14p.

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Consensus clustering with missing labels (ccml): a consensus clustering tool for multi-omics integrative prediction in cohorts with unequal sample coverage.

Authors : Li, Chuan-Xing¹ (AUTHOR); Chen, Hongyan² (AUTHOR); Zounemat-Kermani, Nazanin^3,4 (AUTHOR)

Source: Briefings in Bioinformatics. Jan2024, Vol. 25 Issue 1, p1-7. 7p.

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A biology-driven deep generative model for cell-type annotation in cytometry.

Authors : Blampey, Quentin¹ (AUTHOR); Bercovici, Nadège^2,3 (AUTHOR); Dutertre, Charles-Antoine⁴ (AUTHOR)

Source: Briefings in Bioinformatics. Sep2023, Vol. 24 Issue 5, p1-10. 10p.

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Academic Journal

Genome optimization via virtual simulation to accelerate maize hybrid breeding.

Authors : Cheng, Qian¹ (AUTHOR); Jiang, Shuqing² (AUTHOR); Xu, Feng² (AUTHOR)

Source: Briefings in Bioinformatics. Jan2022, Vol. 23 Issue 1, p1-13. 13p.

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Academic Journal

Deep learning meets metabolomics: a methodological perspective.

Authors : Sen, Partho^1,2 (AUTHOR) ; Lamichhane, Santosh¹ (AUTHOR); Mathema, Vivek B³ (AUTHOR)

Source: Briefings in Bioinformatics. Mar2021, Vol. 22 Issue 2, p1531-1542. 12p.

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فلترة النتائج

Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes.

A bioimage informatics platform for high-throughput embryo phenotyping.

Sample size calculation in metabolic phenotyping studies.

PCAO2: an ontology for integration of prostate cancer associated genotypic, phenotypic and lifestyle data.

The digital revolution in phenotyping.

Assessing computational predictions of antimicrobial resistance phenotypes from microbial genomes.

Consensus clustering with missing labels (ccml): a consensus clustering tool for multi-omics integrative prediction in cohorts with unequal sample coverage.

A biology-driven deep generative model for cell-type annotation in cytometry.

Genome optimization via virtual simulation to accelerate maize hybrid breeding.

Deep learning meets metabolomics: a methodological perspective.

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