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Analysis of Single-Cell Data (Record no. 426462)

MARC details
000 -LEADER
fixed length control field 03354nam a22005175i 4500
020 ## - INTERNATIONAL STANDARD BOOKNUMBER
International Standard Book Number 9783658132347
-- 978-3-658-13234-7
024 7# -
-- 10.1007/978-3-658-13234-7
-- doi
040 ## -
-- ISI Library, Kolkata
050 #4 -
-- QH323.5
050 #4 -
-- QH324.2-324.25
072 #7 -
-- PDE
-- bicssc
072 #7 -
-- MAT003000
-- bisacsh
072 #7 -
-- PDE
-- thema
082 04 - DEWEYDECIMAL CLASSIFICATION NUMBER
Classification number 570.285
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Loos, Carolin.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
245 10 - TITLE STATEMENT
Title Analysis of Single-Cell Data
Medium [electronic resource] :
Remainder of title ODE Constrained Mixture Modeling and Approximate Bayesian Computation /
Statement of responsibility, etc by Carolin Loos.
250 ## - EDITIONSTATEMENT
Edition statement 1st ed. 2016.
942 ## - ADDED ENTRY ELEMENTS(KOHA)
Koha item type E-BOOKS
100 1# - MAIN ENTRY--PERSONAL NAME
-- author.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS
Place of production, publication, distribution, manufacture Wiesbaden :
Name of producer, publisher, distributor, manufacturer Springer Fachmedien Wiesbaden :
-- Imprint: Springer Spektrum,
Date of production, publication, distribution, manufacture 2016.
300 ## -
-- XXI, 92 p. 26 illus.
-- online resource.
336 ## - CONTENT TYPE
Content Type Term text
Content Type Code txt
Source rdacontent
337 ## - MEDIA TYPE
Media Type Term computer
Media Type Code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier Type Term online resource
Carrier Type Code cr
Source rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# -
-- BestMasters,
-- 2625-3577
505 0# -
-- Modeling and Parameter Estimation for Single-Cell Data -- ODE Constrained Mixture Modeling for Multivariate Data -- Approximate Bayesian Computation Using Multivariate Statistics.
520 ## -
-- Carolin Loos introduces two novel approaches for the analysis of single-cell data. Both approaches can be used to study cellular heterogeneity and therefore advance a holistic understanding of biological processes. The first method, ODE constrained mixture modeling, enables the identification of subpopulation structures and sources of variability in single-cell snapshot data. The second method estimates parameters of single-cell time-lapse data using approximate Bayesian computation and is able to exploit the temporal cross-correlation of the data as well as lineage information. Contents Modeling and Parameter Estimation for Single-Cell Data ODE Constrained Mixture Modeling for Multivariate Data Approximate Bayesian Computation Using Multivariate Statistics Target Groups Researchers and students in the fields of (bio-)mathematics, statistics, bioinformatics System biologists, biostatisticians, bioinformaticians The Author Carolin Loos is currently doing her PhD at the Institute of Computational Biology at the Helmholtz Zentrum München. She is member of the junior research group „Data-driven Computational Modeling“.
650 #0 -
-- Computer science
-- Mathematics.
650 #0 -
-- Biology
-- Data processing.
650 14 -
-- Mathematical and Computational Biology.
-- http://scigraph.springernature.com/things/product-market-codes/M31000
650 24 -
-- Computational Mathematics and Numerical Analysis.
-- http://scigraph.springernature.com/things/product-market-codes/M1400X
650 24 -
-- Computer Appl. in Life Sciences.
-- http://scigraph.springernature.com/things/product-market-codes/L17004
710 2# -
-- SpringerLink (Online service)
773 0# -
-- Springer eBooks
776 08 -
-- Printed edition:
-- 9783658132330
776 08 -
-- Printed edition:
-- 9783658132354
830 #0 -
-- BestMasters,
-- 2625-3577
856 40 -
-- https://doi.org/10.1007/978-3-658-13234-7
912 ## -
-- ZDB-2-SMA
950 ## -
-- Mathematics and Statistics (Springer-11649)

No items available.

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