Qualitative and quantitative molecular pathway analysis: Mathematical methods and algorithms

Nicolas Borisov; Stella Liberman-Aronov; Igor Kovalchuk; Anton Buzdin

doi:10.1016/B978-0-443-15568-0.00009-1

Qualitative and quantitative molecular pathway analysis: Mathematical methods and algorithms

Nicolas Borisov
, Stella Liberman-Aronov
, Igor Kovalchuk
, Anton Buzdin

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Intracellular molecular pathways (MPs) regulate numerous processes involved in normal and pathological conditions, including development, growth, aging, and cancer. Many intracellular MPs are available on online knowledge bases. The information relating to molecular pathway activation (MPA) can be obtained from the massive proteomic or transcriptomic data (Aliper et al., 2017; Borisov et al., 2020b; Buzdin et al., 2014; Sorokin et al., 2021; Zolotovskaia et al., 2022). Although the proteomic analysis may be somewhat closer to the biological function of MPA, the transcriptomic analysis is yet far more feasible in terms of performing experimental tests and analyzing the data.

Original language	English
Title of host publication	Molecular Pathway Analysis Using High-Throughput Omics Molecular Data
Subtitle of host publication	Analysis of molecular pathway composition, architecture, and activation using high-throughput genomic, epigenetic, transcriptomic, proteomic, and metabolomic data
Publisher	Elsevier
Pages	151-175
Number of pages	25
ISBN (Electronic)	9780443155680
ISBN (Print)	9780443155697
DOIs	https://doi.org/10.1016/B978-0-443-15568-0.00009-1
State	Published - 1 Jan 2024
Externally published	Yes

Keywords

Algorithmic analysis
Bioinformatics
Biomathematics
Interactomics
Intracellular molecular pathway
Molecular pathway activation
Proteomics
Transcriptomic data

Access to Document

10.1016/B978-0-443-15568-0.00009-1

Cite this

Borisov, N., Liberman-Aronov, S., Kovalchuk, I., & Buzdin, A. (2024). Qualitative and quantitative molecular pathway analysis: Mathematical methods and algorithms. In Molecular Pathway Analysis Using High-Throughput Omics Molecular Data: Analysis of molecular pathway composition, architecture, and activation using high-throughput genomic, epigenetic, transcriptomic, proteomic, and metabolomic data (pp. 151-175). Elsevier. https://doi.org/10.1016/B978-0-443-15568-0.00009-1

Borisov, Nicolas ; Liberman-Aronov, Stella ; Kovalchuk, Igor et al. / Qualitative and quantitative molecular pathway analysis : Mathematical methods and algorithms. Molecular Pathway Analysis Using High-Throughput Omics Molecular Data: Analysis of molecular pathway composition, architecture, and activation using high-throughput genomic, epigenetic, transcriptomic, proteomic, and metabolomic data. Elsevier, 2024. pp. 151-175

@inbook{194980b458db4751a38a195460d4a9ad,

title = "Qualitative and quantitative molecular pathway analysis: Mathematical methods and algorithms",

abstract = "Intracellular molecular pathways (MPs) regulate numerous processes involved in normal and pathological conditions, including development, growth, aging, and cancer. Many intracellular MPs are available on online knowledge bases. The information relating to molecular pathway activation (MPA) can be obtained from the massive proteomic or transcriptomic data (Aliper et al., 2017; Borisov et al., 2020b; Buzdin et al., 2014; Sorokin et al., 2021; Zolotovskaia et al., 2022). Although the proteomic analysis may be somewhat closer to the biological function of MPA, the transcriptomic analysis is yet far more feasible in terms of performing experimental tests and analyzing the data.",

keywords = "Algorithmic analysis, Bioinformatics, Biomathematics, Interactomics, Intracellular molecular pathway, Molecular pathway activation, Proteomics, Transcriptomic data",

author = "Nicolas Borisov and Stella Liberman-Aronov and Igor Kovalchuk and Anton Buzdin",

year = "2024",

month = jan,

day = "1",

doi = "10.1016/B978-0-443-15568-0.00009-1",

language = "אנגלית",

isbn = "9780443155697",

pages = "151--175",

booktitle = "Molecular Pathway Analysis Using High-Throughput Omics Molecular Data",

publisher = "Elsevier",

address = "הולנד",

}

Borisov, N, Liberman-Aronov, S, Kovalchuk, I & Buzdin, A 2024, Qualitative and quantitative molecular pathway analysis: Mathematical methods and algorithms. in Molecular Pathway Analysis Using High-Throughput Omics Molecular Data: Analysis of molecular pathway composition, architecture, and activation using high-throughput genomic, epigenetic, transcriptomic, proteomic, and metabolomic data. Elsevier, pp. 151-175. https://doi.org/10.1016/B978-0-443-15568-0.00009-1

Qualitative and quantitative molecular pathway analysis: Mathematical methods and algorithms. / Borisov, Nicolas; Liberman-Aronov, Stella; Kovalchuk, Igor et al.
Molecular Pathway Analysis Using High-Throughput Omics Molecular Data: Analysis of molecular pathway composition, architecture, and activation using high-throughput genomic, epigenetic, transcriptomic, proteomic, and metabolomic data. Elsevier, 2024. p. 151-175.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Qualitative and quantitative molecular pathway analysis

T2 - Mathematical methods and algorithms

AU - Borisov, Nicolas

AU - Liberman-Aronov, Stella

AU - Kovalchuk, Igor

AU - Buzdin, Anton

PY - 2024/1/1

Y1 - 2024/1/1

N2 - Intracellular molecular pathways (MPs) regulate numerous processes involved in normal and pathological conditions, including development, growth, aging, and cancer. Many intracellular MPs are available on online knowledge bases. The information relating to molecular pathway activation (MPA) can be obtained from the massive proteomic or transcriptomic data (Aliper et al., 2017; Borisov et al., 2020b; Buzdin et al., 2014; Sorokin et al., 2021; Zolotovskaia et al., 2022). Although the proteomic analysis may be somewhat closer to the biological function of MPA, the transcriptomic analysis is yet far more feasible in terms of performing experimental tests and analyzing the data.

AB - Intracellular molecular pathways (MPs) regulate numerous processes involved in normal and pathological conditions, including development, growth, aging, and cancer. Many intracellular MPs are available on online knowledge bases. The information relating to molecular pathway activation (MPA) can be obtained from the massive proteomic or transcriptomic data (Aliper et al., 2017; Borisov et al., 2020b; Buzdin et al., 2014; Sorokin et al., 2021; Zolotovskaia et al., 2022). Although the proteomic analysis may be somewhat closer to the biological function of MPA, the transcriptomic analysis is yet far more feasible in terms of performing experimental tests and analyzing the data.

KW - Algorithmic analysis

KW - Bioinformatics

KW - Biomathematics

KW - Interactomics

KW - Intracellular molecular pathway

KW - Molecular pathway activation

KW - Proteomics

KW - Transcriptomic data

UR - https://www.scopus.com/pages/publications/85214171901

U2 - 10.1016/B978-0-443-15568-0.00009-1

DO - 10.1016/B978-0-443-15568-0.00009-1

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.chapter???

AN - SCOPUS:85214171901

SN - 9780443155697

SP - 151

EP - 175

BT - Molecular Pathway Analysis Using High-Throughput Omics Molecular Data

PB - Elsevier

ER -

Borisov N, Liberman-Aronov S, Kovalchuk I, Buzdin A. Qualitative and quantitative molecular pathway analysis: Mathematical methods and algorithms. In Molecular Pathway Analysis Using High-Throughput Omics Molecular Data: Analysis of molecular pathway composition, architecture, and activation using high-throughput genomic, epigenetic, transcriptomic, proteomic, and metabolomic data. Elsevier. 2024. p. 151-175 doi: 10.1016/B978-0-443-15568-0.00009-1

Qualitative and quantitative molecular pathway analysis: Mathematical methods and algorithms

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this