Results 201 to 210 of about 26,575,973 (337)

Study of the Statistical Model for Molecular Collisions [PDF]

, 1970
William H. Miller
openalex   +1 more source

Multi‐omic profiling of squamous cell lung cancer identifies metabolites and related genes associated with squamous cell carcinoma

Molecular Oncology, EarlyView.
Using multi‐omic characterization, we aimed to identify key regulators specific to squamous cell lung carcinoma (SqCC). SqCC‐specific differentially expressed genes were integrated with metabolics data. High expression of the creatine transporter SLC6A8, along with elevated creatine levels, appeared to be a distinct metabolic feature of SqCC.
Johan Staaf, Daniel Ehinger, Hans Brunnström, Mats Jönsson, Frida Rosengren, Marija Kotevska, Anna Karlsson, Mattias Aine, Christian Frezza, Maria Planck, Elsa Arbajian   +10 more
wiley   +1 more source

Selected Topics in Time Series Forecasting: Statistical Models vs. Machine Learning. [PDF]

Entropy (Basel)
Tjøstheim D.
europepmc   +1 more source

An articulatory model of the tongue based on a statistical analysis [PDF]

, 1979
Shinji Maeda
openalex   +1 more source

In vitro properties of patient serum predict clinical outcome after high dose rate brachytherapy of hepatocellular carcinoma

Molecular Oncology, EarlyView.
Following high dose rate brachytherapy (HDR‐BT) for hepatocellular carcinoma (HCC), patients were classified as responders and nonresponders. Post‐therapy serum induced increased BrdU incorporation and Cyclin E expression of Huh7 and HepG2 cells in nonresponders, but decreased levels in responders.
Lukas Salvermoser, Jan Niklas Schäfer, Shraga Nahum Goldberg, Philipp Maximilian Kazmierczak, Moritz Nikolaus Gröper, Philipp Franz Linden, Elif Öcal, Tanja Burkard, Stefanie Corradini, Najib Ben Khaled, Moritz Wildgruber, Max Seidensticker, Jens Ricke, Matthias Stechele, Marianna Alunni‐Fabbroni   +14 more
wiley   +1 more source

Assessing the global burden of interstitial lung disease and pulmonary sarcoidosis using multiple statistical models: analysis and future projections. [PDF]

BMC Pulm Med
Zhao L, Zhou Y, Jia Y, Wang L, Liu Y, Lv G, Zhang Y, Li J, Ren J, Liu H, Zhang Y, Wang N, Zhang W, Mo W, Liu J, Wang Y, Ma J, Wu C, Liu D, GBD Collaborator.   +19 more
europepmc   +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

Accuracy of machine learning and traditional statistical models in the prediction of postpartum haemorrhage: a systematic review. [PDF]

BMJ Open
Baeta T, Rocha ALL, Oliveira JA, Couto da Silva AP, Reis ZSN.   +4 more
europepmc   +1 more source

The Confounding Influence of Older Age in Statistical Models of Telehealth Utilization. [PDF]

Int J Telerehabil, 2023
Shilane D, Lu HT, Zheng Z.
europepmc   +1 more source

Some Statistical Implications of the Log Transformation of Multiplicative Models [PDF]

, 1972
R. Teekens, J. Koerts
openalex   +1 more source