Results 91 to 100 of about 1,700,598 (262)

The Experience of Teaching Statistics to Non-Specialist Students in Saudi Universities: The Role of Technology and Language [PDF]

open access: yes, 2014
The importance of statistics is not limited to statisticians but also impacts on non-statisticians who have to use statistics. One important issue is how statistics is best taught to, and learned by, non-specialist students.
Alomir, Abdullah   +2 more
core  

Threshold Regression for Survival Analysis: Modeling Event Times by a Stochastic Process Reaching a Boundary

open access: yes, 2007
Many researchers have investigated first hitting times as models for survival data. First hitting times arise naturally in many types of stochastic processes, ranging from Wiener processes to Markov chains.
Lee, Mei-Ling Ting, Whitmore, G. A.
core   +1 more source

Therapeutic strategies for MMAE‐resistant bladder cancer through DPP4 inhibition

open access: yesMolecular Oncology, EarlyView.
We established monomethyl auristatin E (MMAE)‐resistant bladder cancer (BC) cell lines by exposure to progressively increasing concentrations of MMAE in vitro. RNA sequencing showed DPP4 expression was increased in MMAE‐resistant BC cells. Both si‐DPP4 and the DPP4 inhibitor sitagliptin suppressed the viability of MMAE‐resistant BC cells.
Gang Li   +10 more
wiley   +1 more source

Infrared laser sampling of low volumes combined with shotgun lipidomics reveals lipid markers in palatine tonsil carcinoma

open access: yesMolecular Oncology, EarlyView.
Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff   +11 more
wiley   +1 more source

A Context-Driven Topic Coherence Evaluation Approach Using LLM-Based Embeddings

open access: yesIEEE Access
Topic modeling has emerged as a vital tool for extracting interpretable topics from large volumes of textual data. Although topic modeling techniques have evolved from the word frequency-based methods to word embedding-based methods, as exemplified by ...
Chibok Yang, Yang Sok Kim
doaj   +1 more source

Recurrent cancer‐associated ERBB4 mutations are transforming and confer resistance to targeted therapies

open access: yesMolecular Oncology, EarlyView.
We show that the majority of the 18 analyzed recurrent cancer‐associated ERBB4 mutations are transforming. The most potent mutations are activating, co‐operate with other ERBB receptors, and are sensitive to pan‐ERBB inhibitors. Activating ERBB4 mutations also promote therapy resistance in EGFR‐mutant lung cancer.
Veera K. Ojala   +15 more
wiley   +1 more source

A Spectral Algorithm for Latent Dirichlet Allocation [PDF]

open access: yes, 2012
The problem of topic modeling can be seen as a generalization of the clustering problem, in that it posits that observations are generated due to multiple latent factors (e.g., the words in each document are generated as a mixture of several active ...
Anandkumar, Animashree   +4 more
core   +2 more sources

Crucial parameters for precise copy number variation detection in formalin‐fixed paraffin‐embedded solid cancer samples

open access: yesMolecular Oncology, EarlyView.
This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris   +10 more
wiley   +1 more source

Reporting the standard error of the mean: a critical analysis of three journals in manual medicine

open access: yesChiropractic & Manual Therapies
Background In the realm of biomedical research articles, authors typically utilize descriptive statistics to outline the characteristics of their study samples.
Alen Manovic   +3 more
doaj   +1 more source

Phenotypic and genotypic characterization of single circulating tumor cells in the follow‐up of high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon   +9 more
wiley   +1 more source

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