1.

Record Nr.

UNISALENTO991001316899707536

Autore

Graffi, Sandro

Titolo

Schrodinger operators : lectures given at the 2nd 1984 session of the Centro internationale [sic] matematico estivo (C.I.M.E.) held at Como, Italy, Aug. 26-Sept. 4, 1984 / ed. S. Graffi

Pubbl/distr/stampa

Berlin ; New York : Springer-Verlag, 1985

ISBN

3540160353

Descrizione fisica

viii, 272 p. ; 25 cm.

Collana

Lecture notes in mathematics, 0075-8434 ; 1159

Classificazione

AMS 35J

AMS 35P

AMS 35Q

AMS 35R

AMS 35S

AMS 47B

AMS 47E05

AMS 47F05

AMS 58G

AMS 81-06

AMS 81C (1985)

AMS 81D (1985)

Disciplina

515.724

Soggetti

Schrodinger operator - Congresses

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes bibliographies



2.

Record Nr.

UNINA9910367743403321

Autore

Brenner J. Chad

Titolo

Application of Bioinformatics in Cancers

Pubbl/distr/stampa

MDPI - Multidisciplinary Digital Publishing Institute, 2019

ISBN

3-03921-789-5

Descrizione fisica

1 electronic resource (418 p.)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible.