Machine Learning-based Classification of Diffuse Large B-cell Lymphoma Patients by Their Protein Expression Profiles.
about
New developments in the pathology of malignant lymphoma: a review of the literature published from May 2015–September 2015Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status.Spatiotemporal proteomic profiling of human cerebral development.Adaptive Multiview Nonnegative Matrix Factorization Algorithm for Integration of Multimodal Biomedical Data.Quantitative Proteomics Reveals Fundamental Regulatory Differences in Oncogenic HRAS and Isocitrate Dehydrogenase (IDH1) Driven Astrocytoma.Methods, Tools and Current Perspectives in Proteogenomics.Serum protein profiling in diffuse large B-cell lymphoma.Global, quantitative and dynamic mapping of protein subcellular localization.Functional imaging in combination with mutation status aids prediction of response to inhibiting B-cell receptor signaling in lymphoma.Interdependence of free zinc changes and protein complex assembly - insights into zinc signal regulation.Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Research.Serum Proteomic Profiling to Identify Biomarkers of Premature Carotid Atherosclerosis.Tumor Necrosis Factor-α Induced Protein 8: Pathophysiology, Clinical Significance, and Regulatory Mechanism.Comparative proteomics reveals a diagnostic signature for pulmonary head-and-neck cancer metastasis
P2860
Q26774077-C5513EDA-F390-4291-851B-8EB3DC8F796BQ37223322-8F15D2E1-D51F-4189-AFB6-D86CFE6F16B7Q38373307-B1C3F3C9-B858-427F-AE96-7F033B643B52Q38611086-3AC34349-C0F5-45A5-94FF-9B7F008BBA80Q38731795-E993A636-24C7-4882-9D0E-CD7A0E98AAD3Q38812665-DC798075-E392-45CE-8122-48DA05E85E02Q39457134-A4E1B465-3ECE-4CB0-B195-C4D1F7844261Q41783695-182BC963-8C27-44D0-B23E-65CA48BE1B1EQ45594363-E97497CD-4DC1-4786-9094-20ACE9415D3EQ47294603-9039D6A2-146B-4666-BF25-0A6DB674CD06Q49979420-A90AEC2B-514D-4192-8F07-10DCDA2AC534Q55368085-03D71989-2ED6-4CA6-ACD0-D1D214F62410Q55407476-A7FC64F7-6FA7-4DF6-8AC8-8D47DF056383Q58789206-89AD1ECB-5818-46D1-84B2-1982A554127E
P2860
Machine Learning-based Classification of Diffuse Large B-cell Lymphoma Patients by Their Protein Expression Profiles.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年学术文章
@wuu
2015年学术文章
@zh-cn
2015年学术文章
@zh-hans
2015年学术文章
@zh-my
2015年学术文章
@zh-sg
2015年學術文章
@yue
2015年學術文章
@zh
2015年學術文章
@zh-hant
name
Machine Learning-based Classif ...... r Protein Expression Profiles.
@ast
Machine Learning-based Classif ...... r Protein Expression Profiles.
@en
type
label
Machine Learning-based Classif ...... r Protein Expression Profiles.
@ast
Machine Learning-based Classif ...... r Protein Expression Profiles.
@en
prefLabel
Machine Learning-based Classif ...... r Protein Expression Profiles.
@ast
Machine Learning-based Classif ...... r Protein Expression Profiles.
@en
P2093
P2860
P356
P1476
Machine Learning-based Classif ...... r Protein Expression Profiles.
@en
P2093
Juergen Cox
Marc Schmidt-Supprian
Matthias Mann
Michael Hummel
Sally J Deeb
Stefka Tyanova
P2860
P304
P356
10.1074/MCP.M115.050245
P577
2015-08-26T00:00:00Z