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Di Camillo, B.
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Di Camillo, B.
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Di Camillo, B.
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1
Beware to ignore the rare: how imputing zero-values can improve the quality of 16S rRNA gene studies results
by
Baruzzo, G.
,
Di
Camillo
,
B
.
,
Patuzzi, I.
Published 2021
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2
Mathematical modelling of SigE regulatory network reveals new insights into bistability of mycobacterial stress response
by
Del Favero, S.
,
Di
Camillo
,
B
.
,
Giaretta, A.
,
Manganelli, R.
,
Schenato, L.
,
Zorzan, I.
Published 2021
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Related Subjects
genetics
16S rDNA-Seq
16s rDNA
16s rDNA-seq
Bacteria
Bacterial Proteins
Bacterial persistence
Bacterial population
Benchmarking
Bi-stability
Bistability
Count data
Count datum
Count preprocessing
Count simulation
DNA sequence
Data Analysis
Environmental conditions
Genes
Genes, rRNA
Heat-Shock Response
Heatshocks
High-Throughput Nucleotide Sequencing
Information analysis
Mathematical modeling
Mathematical modelling
Models, Theoretical
Mycobacterial
Mycobacterium tuberculosis
Normalisation
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