Results 91 to 100 of about 16,621,545 (393)

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

open access: yesMolecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh   +8 more
wiley   +1 more source

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

open access: yesMolecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima   +6 more
wiley   +1 more source

Chimpanzees (Pan troglodytes) display limited behavioural flexibility when faced with a changing foraging task requiring tool use [PDF]

open access: yesPeerJ, 2018
Behavioural flexibility, the ability to alter behaviour in response to environmental feedback, and to relinquish previously successful solutions to problems, is a crucial ability in allowing organisms to adapt to novel environments and environmental ...
Rachel A. Harrison, Andrew Whiten
doaj   +2 more sources

Unveiling unique protein and phosphorylation signatures in lung adenocarcinomas with and without ALK, EGFR, and KRAS genetic alterations

open access: yesMolecular Oncology, EarlyView.
Proteomic and phosphoproteomic analyses were performed on lung adenocarcinoma (LUAD) tumors with EGFR, KRAS, or EML4–ALK alterations and wild‐type cases. Distinct protein expression and phosphorylation patterns were identified, especially in EGFR‐mutated tumors. Key altered pathways included vesicle transport and RNA splicing.
Fanni Bugyi   +12 more
wiley   +1 more source

Active learning in social studies

open access: yes, 2019
The second revised edition of the book "Active Learning in Social Studies" is prepared with the aim of providing social studies teachers, students, and those interested with a tool to enhance their knowledge and understanding in their work. It includes detailed descriptions of various learning management methods related to active learning, as well as ...
Phinla, Wipada, Phinla, Wipapan
openaire   +1 more source

Decrypting cancer's spatial code: from single cells to tissue niches

open access: yesMolecular Oncology, EarlyView.
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik   +4 more
wiley   +1 more source

The reach of gene–culture coevolution in animals

open access: yesNature Communications, 2019
The reciprocal interaction between genetic and cultural evolution is well recognised in humans. Here, Whitehead and colleagues review the growing body of evidence that culture is also a major driver of both neutral and adaptive genetic evolution in non ...
Hal Whitehead   +4 more
doaj   +1 more source

Tumor‐agnostic detection of circulating tumor DNA in patients with advanced pancreatic cancer using targeted DNA methylation sequencing and cell‐free DNA fragmentomics

open access: yesMolecular Oncology, EarlyView.
We evaluated circulating tumor DNA (ctDNA) detection in advanced pancreatic cancer using DNA methylation, cell‐free DNA fragment lengths, and 5′ end motifs. Machine learning models were trained to estimate ctDNA levels from each feature and their combination.
Morten Lapin   +10 more
wiley   +1 more source

Teaching Python with team‐based learning: using cloud‐based notebooks for interactive coding education

open access: yesFEBS Open Bio, EarlyView.
This study presents a novel approach to teaching Python and bioinformatics using team‐based learning and cloud‐hosted notebooks. By integrating interactive coding into biomedical education, the method improves accessibility, student engagement, and confidence—especially for those without a computing background.
Nuno S. Osório, Leonardo D. Garma
wiley   +1 more source

Empower instructors with actionable insights: Mine and visualize student written feedback for instructors’ reflection

open access: yesComputers and Education: Artificial Intelligence
Student feedback on teaching at the end of the semester is an important source of information for instructors to gain insights into the effectiveness of their teaching.
Feng Lin   +3 more
doaj   +1 more source

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