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 |