Bags of words models of epitope sets: HIV viral load regression with counting grids
The immune system gathers evidence of the execution of various molecular processes, both
foreign and the cells' own, as time-and space-varying sets of epitopes, small linear or …
foreign and the cells' own, as time-and space-varying sets of epitopes, small linear or …
Dynamics of Mycobacteriophage—Mycobacterial Host Interaction
A Ghosh, T Phukan, S Johari, A Sharma, A Vashista… - Immunoinformatics, 2020 - Springer
Mycobacterium sp. is exhibiting complex evolution of antimicrobial resistance (AMR) and
can therefore be considered as a serious human pathogen. Many strategies were employed …
can therefore be considered as a serious human pathogen. Many strategies were employed …
Interpretable machine learning approaches in computational biology
S Briesemeister - 2012 - tobias-lib.ub.uni-tuebingen.de
Machine learning has become an essential tool for analyzing, predicting, and understanding
biological properties and processes. Machine learning models can substantially support the …
biological properties and processes. Machine learning models can substantially support the …
Shift-invariant adaptive double threading: Learning MHC II-peptide binding
N Zaitlen, M Reyes-Gomez, D Heckerman… - … Molecular Biology: 11th …, 2007 - Springer
Specificity of MHC binding to short peptide fragments from cellular as well as pathogens'
proteins has been found to correlate with disease outcome and pathogen or cancer …
proteins has been found to correlate with disease outcome and pathogen or cancer …
A search for charmonium states produced in central pp interactions at 450 GeV/c
D Barberis, FG Binon, FE Close, KM Danielsen… - Physics Letters B, 2000 - Elsevier
A search for charmonium states produced in central pp interactions at 450 GeV/c -
ScienceDirect Skip to main contentSkip to article Elsevier logo Journals & Books Search …
ScienceDirect Skip to main contentSkip to article Elsevier logo Journals & Books Search …
[PDF][PDF] pour obtenir le grade de
L Jacob - 2009 - Citeseer
Regularization has emerged as a dominant theme in machine learning and statistics,
providing an intuitive and principled tool for learning from high-dimensional data. In …
providing an intuitive and principled tool for learning from high-dimensional data. In …
Structural prediction of MHC-peptide-TCR interactions: Potential for vaccine design
AJ Schiewe - 2007 - search.proquest.com
Major histocompatibility complex (MHC) molecules are cell surface glycoproteins that bind
short peptide fragments and present them to T lymphocytes. The MHC presentation …
short peptide fragments and present them to T lymphocytes. The MHC presentation …
Using HLA binding prediction algorithms for epitope mapping in HIV vaccine clinical trials
Current HIV vaccines are designed to elicit both T-cell and B-cell responses. A common
endpoint in any T-cell based vaccine trial are measurements of vaccine-induced T-cell …
endpoint in any T-cell based vaccine trial are measurements of vaccine-induced T-cell …
Computational methods for personalized cancer therapy based on genomics data
M Feldhahn - 2012 - tobias-lib.ub.uni-tuebingen.de
Despite the considerable progress in understanding cancer biology and cancer
development that has been made over the last decades, the treatment options for cancer are …
development that has been made over the last decades, the treatment options for cancer are …
Divergence in CD8+ T cell epitopes of HIV-1 as an immune escape mechanism
B Colleton - 2007 - search.proquest.com
More than 40 million people are living with human immunodeficiency virus-1 (HIV-1). A
prophylactic vaccine inducing a 'sterilizing immunity'is desired to prevent further infections …
prophylactic vaccine inducing a 'sterilizing immunity'is desired to prevent further infections …