Similarity Distan e and Phylogeny
نویسندگان
چکیده
منابع مشابه
Transposition Invariant String Mat hing ⋆
Veli Mäkinen a,1, Gonzalo Navarro b,2, and Esko Ukkonen a,1 aDepartment of Computer S ien e, P.O Box 26 (Teollisuuskatu 23), FIN-00014 University of Helsinki, Finland. bCenter for Web Resear h, Department of Computer S ien e, University of Chile Blan o En alada 2120, Santiago, Chile. Abstra t Given strings A = a1a2 . . . am and B = b1b2 . . . bn over an alphabet Σ ⊆ U, where U is some numeri al...
متن کاملMolecular phylogeny of three desert truffles from Iran based on ribosomal genome
The ITS region including the 5.8S gene of rDNA of three desert truffle species were amplified using ITS4 and ITS1 primers. The ITS sequences were compared to those of other related authentic sequences obtained from GenBank. Among 12 specimens studied, seven isolates corresponded to Terfezia claveryi reported by other authors. Iranian T. claveryi specimens had an average similarity of 99.4% (ran...
متن کاملNormalization of Life Science Data for Shape-based Similarity Querying
In this paper, we fo us on shape-based similarity querying over life s ien e data, and dis uss the key role played by normalization in this ontext. Our treatment of normalization is based on the semanti s of similarity transformations, whi h are mathemati al groups. We make an expli it assoiation between normalization and equivalen e lasses over data, ontaning data items with the same shape. No...
متن کاملÙùððøý Òò Ùüüðððöý Ùò Blockinøøóò× Óö Öööññò ×øøò Blockin Blockin× Ëøøôôôò Ððð Èèèøöö¸îîò Blockin Blockinòø Ððð Èèèøöö¸òò Âóóò Ää««öøý Ç Blockinøóóö¸¾¼¼½ Åí¹¹ë¹¼½¹½¼¼ Ë Blockinóóð Óó Óñôùøøö Ë Blockin Blockin Blockinò Öòòòòò Ååððóò Íòòúö××øý Èèøø××ùööö¸è ½½¾½¿
Bregman Distan es Stephen Della Pietra, Vin ent Della Pietra, and John La erty O tober 8, 2001 CMU-CS-01-109 S hool of Computer S ien e Carnegie Mellon University Pittsburgh, PA 15213 Abstra t We formulate and prove a onvex duality theorem for Bregman distan es and present a te hnique based on auxiliary fun tions for deriving and proving onvergen e of iterative algorithms to minimize Bregman di...
متن کاملÙùððøý Òò Ùüüðððöý Ùò Blockinøøóò× Óö Öööññò ×øøò Blockin Blockin× Ëøøôôôò Ððð Èèèøöö¸îîò Blockin Blockinòø Ððð Èèèøöö¸òò Âóóò Ää««öøý Öùùöý ½¼¸¾¼¼¾ Åí¹¹ë¹¼½¹½¼¼ê Ë Blockinóóð Óó Óñôùøøö Ë Blockin Blockin Blockinò Öòòòòò Ååððóò Íòòúö××øý Èèøø××ùööö¸è ½½¾½¿
Bregman Distan es Stephen Della Pietra, Vin ent Della Pietra, and John La erty February 10, 2002 CMU-CS-01-109R S hool of Computer S ien e Carnegie Mellon University Pittsburgh, PA 15213 Abstra t We formulate and prove a onvex duality theorem for Bregman distan es and present a te hnique based on auxiliary fun tions for deriving and proving onvergen e of iterative algorithms to minimize Bregman...
متن کامل