An improved graph Laplacian regularization method for identifying biomarkers of Alzheimer's disease
• The topological information of protein–protein interaction network is combined. • The algorithm is suitable for data with few samples and high gene dimension. • Our method converges quickly and the identified network-based biomarkers are more biologically interpretable.
Gespeichert in:
| Autor*in: |
Liu, Liyue [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Dissolution versus cementation and its role in determining tight sandstone quality: A case study from the Upper Paleozoic in northeastern Ordos Basin, China - Li, Yong ELSEVIER, 2020, Amsterdam |
|---|---|
| Übergeordnetes Werk: |
volume:543 ; year:2022 ; day:21 ; month:06 ; pages:0 |
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| DOI / URN: |
10.1016/j.jtbi.2022.111121 |
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An improved graph Laplacian regularization method for identifying biomarkers of Alzheimer's disease |
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code="a">Li, Yong ELSEVIER</subfield><subfield code="t">Dissolution versus cementation and its role in determining tight sandstone quality: A case study from the Upper Paleozoic in northeastern Ordos Basin, China</subfield><subfield code="d">2020</subfield><subfield code="g">Amsterdam</subfield><subfield code="w">(DE-627)ELV004081676</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:543</subfield><subfield code="g">year:2022</subfield><subfield code="g">day:21</subfield><subfield code="g">month:06</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.jtbi.2022.111121</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield 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