Results 221 to 230 of about 2,185,495 (342)

Identification of Tumor‐Specific Surface Proteins Enables Quantification of Extracellular Vesicle Subtypes for Early Detection of Pancreatic Ductal Adenocarcinoma

Advanced Science, EarlyView.
Pancreatic ductal adenocarcinoma (PDAC) extracellular vesicle (EV) surface protein assay operates via a two‐step workflow – Step 1: Click chemistry‐mediated enrichment of PDAC EVs by EV Click Beads, in the presence of one of the three trans‐cyclooctene‐grafted PDAC EV‐specific antibodies; Step 2: Quantification of the enriched PDAC EVs by reverse ...
Chen Zhao, Zhili Wang, Hyoyong Kim, Hui Kong, Junseok Lee, Jacqueline Ziqian Yang, Anmin Wang, Ryan Y. Zhang, Yong Ju, Jina Kim, Bing Feng, Dejun Liu, Yating Zhang, Zhenfang Wang, Yandong Zhang, Shujing Guo, Dekang Gao, James S. Tomlinson, Renjun Pei, Jipeng Wan, Stephen J. Pandol, Myung‐Shin Sim, Sungyong You, Ding Ma, Shaohua Lu, Na Sun, Hsian‐Rong Tseng, Yazhen Zhu   +27 more
wiley   +1 more source

Finding High-Dimensional D-Optimal Designs for Logistic Models via Differential Evolution. [PDF]

IEEE Access, 2019
Xu W, Wong WK, Tan KC, Xu J.
europepmc   +1 more source

Noninvasive Assessment of β‐Secretase Activity Through Click Chemistry‐Mediated Enrichment of Neuronal Extracellular Vesicles to Detect Alzheimer's Disease

Advanced Science, EarlyView.
This study presents the NEV β‐secretase activity assay, a groundbreaking method for noninvasive evaluation of β‐secretase activity in Alzheimer's disease (AD) patients, enabling the generation of individualized β‐secretase activity profiles.
Hyoyong Kim, Junseok Lee, Audrey Qian, You‐Ren Ji, Ryan Zhang, Qixin Hu, Christopher Kazu Williams, Han‐Yu Chuang, Matthew D. Smalley, Yaya Xu, Liang Gao, Mary C. Mayo, Ting Zhang, Edwin M. Posadas, Zaldy S. Tan, Harry V. Vinters, Keith Vossel, Shino Magaki, Yazhen Zhu, Hsian‐Rong Tseng   +19 more
wiley   +1 more source

Stability analysis of a stochastic logistic model

, 2003
J. Golec, S. Sathananthan
openalex   +1 more source

Maximum expected F-measure training of logistic regression models [PDF]

, 2005
Martin Jansche
openalex   +1 more source

Deciphering the Metabolic Impact and Clinical Relevance of N‐Glycosylation in Colorectal Cancer through Comprehensive Glycoproteomic Profiling

Advanced Science, EarlyView.
The comprehensive proteomic and N‐glycoproteomic analyses of 45 colorectal cancer tissues with matched normal adjacent tissues identified 7125 intact N‐glycopeptides from 704 glycoproteins. A glycosylation site‐protein function network revealing metabolic dysregulation is constructed and a model differentiating tumors from normal tissues is developed ...
Guobin Liu, Lu Chen, Jingxiang Zhao, Yue Jiang, Yarong Guo, Xiang Mao, Xuelian Ren, Kun Liu, Qi Mei, Qunyi Li, He Huang   +10 more
wiley   +1 more source

Stata Modules for Calculating Novel Predictive Performance Indices for Logistic Models. [PDF]

Int J Endocrinol Metab, 2016
Barkhordari M, Padyab M, Hadaegh F, Hadaegh F, Azizi F, Bozorgmanesh M.   +5 more
europepmc   +1 more source

Extending logistic regression to model diffuse interactions [PDF]

, 2005
Paul Gustafson, Azad Mahbubur Rashid Kazi, Adrian R. Levy   +2 more
openalex   +1 more source

Residual Stresses and Micro‐voids Propel Metal Diffusion for Filament‐Based Memristors

Advanced Science, EarlyView.
Introducing non‐reactive nitrogen during silver sputtering enables low‐voltage (<60 mV) switching in memristors via nano‐void formation and residual stresses in the gigapascal range. This promotes sub‐micron filamentation and neuromorphic behaviors, including multi‐peak synaptic responses.
Joel Y.Y. Loh, Jason Yuan, Samuel Moor‐Smith, Adam Glustein, Gloria Vytas, Will Taylor, Andres Lombo, Richard J. Curry, Nazir Pyarali Kherani   +8 more
wiley   +1 more source

Comparing the Two- and Three-Parameter Logistic Models via Likelihood Ratio Tests: A Commonly Misunderstood Problem. [PDF]

Appl Psychol Meas, 2015
Brown C, Templin J, Cohen A.
europepmc   +1 more source