Results 131 to 140 of about 1,192,191 (268)

Pattern matching for high precision detection of LINE-1s in human genomes. [PDF]

BMC Bioinformatics, 2022
Lopez JO, Seguel J, Chamorro A, Ramos KS.   +3 more
europepmc   +1 more source

Compiling pattern matching by term decomposition [PDF]

, 1990
Laurence Puel, Ascánder Suárez
openalex   +1 more source

Inhibition of CDK9 enhances AML cell death induced by combined venetoclax and azacitidine

Molecular Oncology, EarlyView.
The CDK9 inhibitor AZD4573 downregulates c‐MYC and MCL‐1 to induce death of cytarabine (AraC)‐resistant AML cells. This enhances VEN + AZA‐induced cell death significantly more than any combination of two of the three drugs in AraC‐resistant AML cells.
Shuangshuang Wu, Jianlei Zhao, Aaban Asfar Azmi, Avanti Gupte, Jenna Thibodeau, Shuang Liu, Jinli Yang, Guan Wang, Holly Edwards, Lisa A. Polin, Juiwanna Kushner, Sijana H. Dzinic, Kathryn White, Julie Boerner, Maik Hüttemann, Jay Yang, Yue Wang, Jeffrey W. Taub, Yubin Ge   +18 more
wiley   +1 more source

Radiofrequency ablation of premature ventricular contractions guided by robotic magnetic navigation combined with pattern matching filter. [PDF]

Clin Cardiol, 2023
Liu XY, Zheng J, Li KL, Dang SP, Li XY, Zhao XX, Wang C, Yu ZM, Wang RX.   +8 more
europepmc   +1 more source

Predictors of response and rational combinations for the novel MCL‐1 inhibitor MIK665 in acute myeloid leukemia

Molecular Oncology, EarlyView.
This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad, Rhiannon Newman, Elmira Khabusheva, Sofia Aakko, Eric Durand, Mahesh Tambe, Heikki Kuusanmäki, Alun Parsons, Juho J. Miettinen, Komal Kumar Javarappa, Ezgi June Olgac, Nemo Ikonen, Mika Kontro, Kimmo Porkka, Heiko Maacke, Janghee Woo, Ensar Halilovic, Caroline A. Heckman   +17 more
wiley   +1 more source

Clustering Algorithm in English Language Learning Pattern Matching under Big Data Framework. [PDF]

Comput Intell Neurosci, 2022
Zheng L.
europepmc   +1 more source

String pattern matching in UR/Forth [PDF]

, 1990
Paul Frenger
openalex   +1 more source

Feasibility of a ctDNA multigenic panel for non‐small‐cell lung cancer early detection and disease surveillance

Molecular Oncology, EarlyView.
Plasma‐based detection of actionable mutations is a promising approach in lung cancer management. Analysis of ctDNA with a multigene NGS panel identified TP53, KRAS, and EGFR as the most frequently altered, with TP53 and KRAS in treatment‐naïve patients and TP53 and EGFR in previously treated patients.
Giovanna Maria Stanfoca Casagrande, Marcela de Oliveira Silva, Mariana Bisarro dos Reis, Rodrigo de Oliveira Cavagna, Luciane Sussuchi, Icaro Alves Pinto, Natalia Zampieri Pontes, Rodrigo Sampaio Chiarantano, Flavio Augusto Ferreira da Silva, Pedro de Marchi, Letícia Ferro Leal, Rui M. Reis   +11 more
wiley   +1 more source

Improved indoor localization using k‐medoids and k‐nearest neighbour algorithms with context similarity coefficient‐based fingerprint similarity metric

The Journal of Engineering
Fingerprint database clustering and localization using k‐medoids and k‐nearest neighbour (k‐NN) algorithms respectively typically use distance‐based fingerprint similarity metrics, with their performances dependent on the type of distance metric used ...
Abdulmalik Shehu Yaro, Filip Maly, Karel Maly, Pavel Prazak   +3 more
doaj   +1 more source

Biometric identification of Black Bengal goat: unique iris pattern matching system vs deep learning approach. [PDF]

Anim Biosci, 2023
Laishram M, Mandal SN, Haldar A, Das S, Bera S, Samanta R.   +5 more
europepmc   +1 more source