Results 131 to 140 of about 45,837 (241)

Subset binding enables detection of multimodal patient subgroup patterns and drug target discovery in idiopathic pulmonary fibrosis. [PDF]

Brief Bioinform
Natsume-Kitatani Y, Itoh MN, Takeda Y, Kuroda M, Hirata H, Miyake K, Shiroyama T, Shirai Y, Noda Y, Adachi Y, Enomoto T, Amiya S, Adachi J, Narumi R, Muraoka S, Tomonaga T, Kurohashi S, Cheng F, Tanaka R, Yada S, Aramaki E, Wakamiya S, Chen YA, Fukagawa A, Higuchi C, Nojima Y, Fujiwara T, Nagao C, Takeda T, Matsumura Y, Mizuguchi K, Kumanogoh A, Ueda N.   +32 more
europepmc   +1 more source

IPHM: Incremental periodic high-utility mining algorithm in dynamic and evolving data environments. [PDF]

Heliyon
Huang H, Chen S, Chen J.
europepmc   +1 more source

Automated Discovery of Reactive Events via Hypergraph Mining of Ab Initio Atomistic Simulations. [PDF]

J Chem Theory Comput
Stan-Bernhardt A, Pellizzoni P, Borgwardt K, Ochsenfeld C.   +3 more
europepmc   +1 more source

Disease spectrum and comorbidity patterns of malignant neoplasms: a multi-center hospital-based retrospective analysis of inpatient insurance claims data. [PDF]

Front Oncol
Liu M, Chen L, Du P, Wei C, Ding T, Liang L, Wu J, Zeng Z.   +7 more
europepmc   +1 more source

Symptoms affecting the development of diabetes: analysis of risk factors with data mining. [PDF]

BMC Med Inform Decis Mak
Aglarci AV, Karakurt F.
europepmc   +1 more source

Physical fitness characteristics and comprehensive physical fitness evaluation model of basketball players based on association rule algorithm. [PDF]

PLoS One
Ding Y.
europepmc   +1 more source

Incremental high average-utility itemset mining: survey and challenges. [PDF]

Sci Rep
Chen J, Yang S, Ding W, Li P, Liu A, Zhang H, Li T.   +6 more
europepmc   +1 more source

A study on green innovation and entrepreneurship in the dual carbon era and its implications for the energy market. [PDF]

Sci Rep
Sun J, Guan X, Wang Z, Zhang J, Tan Y, Nie P.   +5 more
europepmc   +1 more source

Finding the needle in the haystack-An interpretable sequential pattern mining method for classification problems. [PDF]

Front Big Data
Grote A, Hariharan A, Weinhardt C.
europepmc   +1 more source