Results 61 to 70 of about 619,235 (185)

Real time analysis of epidemic data [PDF]

arXiv, 2019
Infectious diseases have severe health and economic consequences for society. It is important in controlling the spread of an emerging infectious disease to be able to both estimate the parameters of the underlying model and identify those individuals most at risk of infection in a timely manner.
arxiv  

Metabolic Studies of a Heavy Chain Disease Protein [PDF]

, 1969
Daniel Ein, Thomas A. Waldmann
openalex   +1 more source

Studies on the glycopeptides isolated from the urinary protein in heavy-chain disease [PDF]

, 1968
John R. Clamp, Glyn Dawson, E. C. Franklin   +2 more
openalex   +1 more source

Heavy chain disease. [PDF]

, 1968

openalex   +1 more source

Implications of Heavy Chain Disease Protein Sequences for Multiple Gene Theories of Immunoglobulin Synthesis [PDF]

, 1970
William D. Terry, JACK J. OHMS
openalex   +1 more source

DeepIso: A Deep Learning Model for Peptide Feature Detection [PDF]

arXiv, 2017
Liquid chromatography with tandem mass spectrometry (LC-MS/MS) based proteomics is a well-established research field with major applications such as identification of disease biomarkers, drug discovery, drug design and development. In proteomics, protein identification and quantification is a fundamental task, which is done by first enzymatically ...
arxiv  

Alpha heavy chain disease (report of 18 cases from Iraq). [PDF]

, 1978
Zainab Albahrani, Tahseen Al‐Saleem, Hamid Al‐Mondhiry, Fatih Bakır, Hamza Ben Yahia, I Taha, James T. King   +6 more
openalex   +1 more source

Involution of the mouse mammary gland is associated with an immune cascade and an acute-phase response, involving LBP, CD14 and STAT3 [PDF]

, 2004
INTRODUCTION: Involution of the mammary gland is a complex process of controlled apoptosis and tissue remodelling. The aim of the project was to identify genes that are specifically involved in this process.
Bell, A.K., Davies, C.R., Duffy, M.A., Ferrier, R.K., Gusterson, B.A., Heath, V.J., Morris, J.S., Sandilands, G.P., Stein, T., Weber-Hall, S.J.   +9 more
core  

A Low-Rank Bayesian Approach for Geoadditive Modeling [PDF]

arXiv
Kriging is an established methodology for predicting spatial data in geostatistics. Current kriging techniques can handle linear dependencies on spatially referenced covariates. Although splines have shown promise in capturing nonlinear dependencies of covariates, their combination with kriging, especially in handling count data, remains underexplored.
arxiv  

Rapid evolution in the immunochemical findings of a gamma heavy chain disease. [PDF]

, 1988
Françoise Pontet, Xavier Gué, Christine Dosquet, J Caen, F Rousselet   +4 more
openalex   +1 more source