Zum Hauptinhalt springen Zur Suche springen Zur Hauptnavigation springen
Dekorationsartikel gehören nicht zum Leistungsumfang.
Topological Data Analysis for Genomics and Evolution
Buch von Raul Rabadan (u. a.)
Sprache: Englisch

104,95 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 1-2 Wochen

Produkt Anzahl: Gib den gewünschten Wert ein oder benutze die Schaltflächen um die Anzahl zu erhöhen oder zu reduzieren.
Kategorien:
Beschreibung
An introduction to geometric and topological methods to analyze large scale biological data; includes statistics and genomic applications.
An introduction to geometric and topological methods to analyze large scale biological data; includes statistics and genomic applications.
Über den Autor
Raul Rabadan is a Professor at Columbia University, New York. He is Director of the Program for Mathematical Genomics at Columbia University, New York, and the NCI Physics and Oncology Center for Topology of Cancer Evolution and Heterogeneity. Dr Rabadan received his Ph.D. in Theoretical Physics in 2001 and went on to conduct research at the European Laboratory for Particle Physics (CERN) in Switzerland, and at the Institute for Advanced Study (IAS), Princeton, New Jersey. At Columbia University, he leads a highly interdisciplinary laboratory with researchers from the fields of mathematics, physics, computer science, engineering, and medicine, with the common goal of solving biomedical problems through quantitative computational models.
Inhaltsverzeichnis
Introduction; Part I. Topological Data Analysis: 1. Basic notions of algebraic topology; 2. Topological data analysis; 3. Statistics and topological inference; 4. Manifold learning and metric geometry; Part II. Biological Applications: 5. Evolution, trees, and beyond; 6. Cancer genomics; 7. Single cell expression data; 8. Three dimensional structure of DNA; 9. Topological data analysis beyond genomics; 10. Conclusions.
Details
Erscheinungsjahr: 2019
Fachbereich: Gentechnologie
Genre: Biologie, Importe
Rubrik: Naturwissenschaften & Technik
Medium: Buch
ISBN-13: 9781107159549
ISBN-10: 1107159547
Sprache: Englisch
Einband: Gebunden
Autor: Rabadan, Raul
Blumberg, Andrew J.
Hersteller: Cambridge University Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 250 x 175 x 32 mm
Von/Mit: Raul Rabadan (u. a.)
Erscheinungsdatum: 19.12.2019
Gewicht: 1,07 kg
Artikel-ID: 116106050
Über den Autor
Raul Rabadan is a Professor at Columbia University, New York. He is Director of the Program for Mathematical Genomics at Columbia University, New York, and the NCI Physics and Oncology Center for Topology of Cancer Evolution and Heterogeneity. Dr Rabadan received his Ph.D. in Theoretical Physics in 2001 and went on to conduct research at the European Laboratory for Particle Physics (CERN) in Switzerland, and at the Institute for Advanced Study (IAS), Princeton, New Jersey. At Columbia University, he leads a highly interdisciplinary laboratory with researchers from the fields of mathematics, physics, computer science, engineering, and medicine, with the common goal of solving biomedical problems through quantitative computational models.
Inhaltsverzeichnis
Introduction; Part I. Topological Data Analysis: 1. Basic notions of algebraic topology; 2. Topological data analysis; 3. Statistics and topological inference; 4. Manifold learning and metric geometry; Part II. Biological Applications: 5. Evolution, trees, and beyond; 6. Cancer genomics; 7. Single cell expression data; 8. Three dimensional structure of DNA; 9. Topological data analysis beyond genomics; 10. Conclusions.
Details
Erscheinungsjahr: 2019
Fachbereich: Gentechnologie
Genre: Biologie, Importe
Rubrik: Naturwissenschaften & Technik
Medium: Buch
ISBN-13: 9781107159549
ISBN-10: 1107159547
Sprache: Englisch
Einband: Gebunden
Autor: Rabadan, Raul
Blumberg, Andrew J.
Hersteller: Cambridge University Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 250 x 175 x 32 mm
Von/Mit: Raul Rabadan (u. a.)
Erscheinungsdatum: 19.12.2019
Gewicht: 1,07 kg
Artikel-ID: 116106050
Sicherheitshinweis

Ähnliche Produkte

Ähnliche Produkte