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

פרסום מחקרי: פרק בספר / בדוח / בכנס › פרק › ביקורת עמיתים

תקציר

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.

שפה מקורית	אנגלית
כותר פרסום המארח	Molecular Pathway Analysis Using High-Throughput Omics Molecular Data
כותר משנה של פרסום המארח	Analysis of molecular pathway composition, architecture, and activation using high-throughput genomic, epigenetic, transcriptomic, proteomic, and metabolomic data
מוציא לאור	Elsevier
עמודים	151-175
מספר עמודים	25
מסת"ב (אלקטרוני)	9780443155680
מסת"ב (מודפס)	9780443155697
מזהי עצם דיגיטלי (DOIs)	https://doi.org/10.1016/B978-0-443-15568-0.00009-1
סטטוס פרסום	פורסם - 1 ינו׳ 2024
פורסם באופן חיצוני	כן

גישה למסמך

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

קבצים וקישורים אחרים

Link to publication in Scopus

פורמט ציטוט ביבליוגרפי

Borisov, N., Liberman-Aronov, S., Kovalchuk, I., & Buzdin, A. (2024). Qualitative and quantitative molecular pathway analysis: Mathematical methods and algorithms. ב- 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 (עמודים 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. עמודים 151-175

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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",

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Borisov, N, Liberman-Aronov, S, Kovalchuk, I & Buzdin, A 2024, Qualitative and quantitative molecular pathway analysis: Mathematical methods and algorithms. ב- 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, עמודים 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. עמוד 151-175.

פרסום מחקרי: פרק בספר / בדוח / בכנס › פרק › ביקורת עמיתים

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

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

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Borisov N, Liberman-Aronov S, Kovalchuk I, Buzdin A. Qualitative and quantitative molecular pathway analysis: Mathematical methods and algorithms. ב- 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. עמוד 151-175 doi: 10.1016/B978-0-443-15568-0.00009-1

Qualitative and quantitative molecular pathway analysis: Mathematical methods and algorithms

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