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Keshav Kumar
Contact
E-mail
keshav.kumar@umu.se
Works as
Affiliation
Postdoctoral position
at
Department of Molecular Biology
Section: Research group Felipe Cava
Location
6K och 6L, Sjukhusområdet
Umeå universitet, 901 87 Umeå
Publications
Publications
Research
Research
2019
Chromatographic analysis of peptidoglycan samples with the aid of a chemometric technique: introducing a novel analytical procedure to classify bacterial cell wall collection
Analytical Methods
, Vol. 11, (12) : 1671-1679
Kumar, Keshav; Cava, Felipe
2018
Principal coordinate analysis assisted chromatographic analysis of bacterial cell wall collection: a robust classification approach
Analytical Biochemistry
, Elsevier 2018, Vol. 550 : 8-14
Kumar, Keshav; Cava, Felipe
2018
Integrating network analysis with chromatography: introducing a novel chemometry-chromatography based analytical procedure to classify the bacterial cell wall collection
Analytical Methods
, Royal Society of Chemistry 2018, Vol. 10, (10) : 1172-1180
Kumar, Keshav; Cava, Felipe
2017
Discrete wavelet assisted correlation optimised warping of chromatograms: optimizing the computational time for correcting the drifts in peak positions
Analytical Methods
, Vol. 9, (13) : 2049-2058
Kumar, Keshav
2017
Random Initialisation of the Spectral Variables: an Alternate Approach for Initiating Multivariate Curve Resolution Alternating Least Square (MCR-ALS) Analysis
Journal of Fluorescence
, Springer 2017, Vol. 27, (6) : 1957-1968
Kumar, Keshav
2017
Constraint randomised non-negative factor analysis (CRNNFA): an alternate chemometrics approach for analysing the biochemical data sets
The Analyst
, ROYAL SOC CHEMISTRY 2017, Vol. 142, (11) : 1916-1928
Kumar, Keshav; Cava, Felipe
2017
PG-metrics: a chemometric-based approach for classifying bacterial peptidoglycan data sets and uncovering their subjacent chemical variability
PLOS ONE
, Public library science 2017, Vol. 12, (10)
Kumar, Keshav; Espaillat, Akbar; Cava, Felipe
2017
Eigenvalue-eigenvector decomposition (EED) analysis of dissimilarity and covariance matrix obtained from total synchronous fluorescence spectral (TSFS) data sets of herbal preparations: optimizing the classification approach
Spectrochimica Acta Part A - Molecular and Biomolecular Spectroscopy
, Elsevier 2017, Vol. 184 : 128-133
Tarai, Madhumita; Kumar, Keshav; Divya, O.; et al.
View publications in DiVA
Research groups
Group member
Felipe Cava lab
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