Notice: Undefined index: language in /www/web/assay/public_html/system/startup.php on line 8
| AssayBiotechnology
Call (408) 747-0185 or Contact us

Anti-CD105(Endoglin) antibody [ABT-CD105]

Catalog No : V0015
  • Applications
    IHC
  • Host Species
    Mouse
  • Reactivity
    Human
  • Size
    50ul
  • Price
    $175.00
Details
  • Product Name
    Anti-CD105(Endoglin) antibody [ABT-CD105]
  • Catalog No
    V0015
  • Description
    Mouse monoclonal [ABT-CD105] antibody to CD105
  • Applications
    IHC
  • Clonality
    Monoclonal
  • Host Species
    Mouse
  • Reactivity
    Human
  • ABT Clone ID
    ABT-CD105
  • Antigen Retrieval
    Heat-induced epitope retrieval (HIER)
  • Dilution
    1:50-200
  • Entrez Gene ID (NCBI)
    2022
  • IHC Recommended control
    Tonsil, Placenta, Kindey
  • IHC Target Name
    CD105(Endoglin)
  • Immunogen
    Synthetic peptide
  • Localization
    Cytoplasmic
  • OMIM
    131195
  • Purification
    Immunogen affinity purified
  • Retrieval buffer
    TRIS-EDTA of pH8.0
  • Source/Ig Isotype
    Mouse IgG
  • Storage/Stablility
    -20°C/1 year
  • Synonyms
    CD105, END
  • UniProt Gene Name
    ENG
  • UniProtKB
    P17813
Application Images
Image 1 Immunohistochemistry analysis of Formalin-fixed, paraffin-embedded Human Kidney using CD105, Endoglin antibody.
Image 2 Immunohistochemistry analysis of Formalin-fixed, paraffin-embedded Human Placenta using CD105, Endoglin antibody.
Image 3 Immunohistochemistry analysis of Formalin-fixed, paraffin-embedded Human Renal clear cell carcinoma using CD105, Endoglin antibody.
Image 4 Immunohistochemistry analysis of Formalin-fixed, paraffin-embedded Human Tonsil using CD105, Endoglin antibody.
  • Xiang, F., Neal, P.: Efficient MCMC for temporal epidemics via parameter reduction. Comput. Stat. Data Anal.
  • Xiang, F., Neal, P.: Efficient MCMC for temporal epidemics via parameter reduction. Comput. Stat. Data Anal.
  • Xiang, F., Neal, P.: Efficient MCMC for temporal epidemics via parameter reduction. Comput. Stat. Data Anal.
  • Xiang, F., Neal, P.: Efficient MCMC for temporal epidemics via parameter reduction. Comput. Stat. Data Anal.
  • Xiang, F., Neal, P.: Efficient MCMC for temporal epidemics via parameter reduction. Comput. Stat. Data Anal.
For the process of attaching edges to nodes, it is straightforward to compute the likelihood using (2). However, because of the nature of weighted sampling without replacement, we have to, for each i, calculate the probability conditi onal on each of the Xi!Xi! permutations of the selected nodes and then aver age over all Xi!Xi! probabilities to arrive at the likelihood. As calculating the exact likelihood in this way is not computationally feasible because the factorial grows faster than the exponential function, we approximate the likelihood based on one permutation of weighted sampling without replacement instead. The contribution by the new edges brought by node i is
Get resources and offers direct to your inbox Sign up