Machine learning to predict ceftriaxone resistance using single nucleotide polymorphisms within a global database of Neisseria gonorrhoeae genomes
Related Posts
Wiener JM, Hamad CD, Chun RF, Mehany JD, Yeaman MR, Sheppard WL, Bernthal NM. Preoperative Thrombocytopenia and Risk of Periprosthetic Joint Infection After Total Knee[...]
Leung W, Velásquez Vásquez C, Meza Santivañez L, Arango-Ochante P, Konda KA, Vargas SK, Cáceres C, Klausner JD, Allan-Blitz LT. Maternal and congenital syphilis at[...]
Amuri-Aziza A, Luakanda-Ndelemo G, Ayitewala A, Jansen D, Adroba-Tandele P, Tebba A, Kinganda-Lusamaki E, Kanyerezi S, Kaleebu P, Ngandu C, Muruta A, Jjingo D, Nabadda[...]