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Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


On some statistical problems in single-cell transcriptome data analysis/ (Record no. 428458)

MARC details
000 -LEADER
fixed length control field 02514nam a22003017a 4500
001 - CONTROL NUMBER
control field th526
003 - CONTROL NUMBER IDENTIFIER
control field ISI Library, Kolkata
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240919123047.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220131b ||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency ISI Library
Language of cataloging English
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 572.8845
Item number M741
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Mondal, Pronoy Kanti
Relator term author
245 10 - TITLE STATEMENT
Title On some statistical problems in single-cell transcriptome data analysis/
Statement of responsibility, etc Pronoy Kanti Mondal
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Kolkata:
Name of publisher, distributor, etc Indian Statistical Institute,
Date of publication, distribution, etc 2021
300 ## - PHYSICAL DESCRIPTION
Extent vii, 155 pages,
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Ph.D.) - Indian Statistical Institute, 2021
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1: Introduction -- Chapter 2: Modeling scRNA-seq expression data -- Chapter 3: Testing dierential scRNA-seq expression data -- Chapter 4: PseudoGA: Cell pseudotime reconstruction based on genetic algorithm -- Chapter 5: SCDI: A fast clustering-based method for Single-cell Data Integration --
508 ## - CREATION/PRODUCTION CREDITS NOTE
Creation/production credits note Guided by Prof. Indranil Mukhopadhyay
520 ## - SUMMARY, ETC.
Summary, etc Single-cell transcriptome data provide us with an enormous scope of studying biological systems at the cellular level. We aim to address different problems involving the statistical analysis of single-cell RNA-seq data. First, we develop a realistic statistical model for fitting single-cell transcriptome data based on a two-part model for gene-wise unimodal or bimodal distribution in addition to using a generalized linear model with a probit link for zero occurrences. In continuation to this work, we discuss testing methods to compare transcriptome profiles between two groups. We suggest two different likelihood ratio-based tests under unimodal and bimodal assumptions. We also propose a cell pseudotime reconstruction method avoiding dimensionality reduction, which may lead to loss of information in the data. We view the pseudotime reconstruction problem as finding the best permutation based on a cost function and invoke a genetic algorithm to find the optimum permutation. We also discuss a novel method to remove batch effects to facilitate merging two or more single-cell RNA-seq datasets. All our approaches are supported by simulation study and real data analysis.
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Single-Cell RNA-Seqence
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Gene Expression Modeling
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Differential Expression
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pseudotime Estimation
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Single-Cell Data Integration
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text Full Text
Uniform Resource Identifier <a href="http://dspace.isical.ac.in:8080/jspui/handle/10263/7255">http://dspace.isical.ac.in:8080/jspui/handle/10263/7255</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type THESIS
Holdings
Lost status Not for loan Home library Current library Date acquired Full call number Accession Number Koha item type Public note
    ISI Library, Kolkata ISI Library, Kolkata 31/01/2022 572.8845 M741 TH526 THESIS E-Thesis
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