Results 231 to 240 of about 7,127,658 (298)

Using Machine Learning and Feature Importance to Identify Risk Factors for Mortality in Pediatric Heart Surgery. [PDF]

Diagnostics (Basel)
Kapsner LA, Feißt M, Purbojo A, Prokosch HU, Ganslandt T, Dittrich S, Mang JM, Wällisch W.   +7 more
europepmc   +1 more source

The VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer

Molecular Oncology, EarlyView.
Mutations, environmental stress, and chaperone dysfunction can destabilize pVHL, promoting its conversion from the native folded state into amyloid‐like assemblies. This transition may contribute to protein storage, cell dormancy, survival, and drug resistance.
Lara Abad, Silvio Carlo Ermanno Tosatto, Emanuela Leonardi   +2 more
wiley   +1 more source

Feature importance for estimating rating of perceived exertion from cardiorespiratory signals using machine learning. [PDF]

Front Sports Act Living
Cheng R, Haste P, Levens E, Bergmann J.
europepmc   +1 more source

Gut microbiota alterations in patients with non‐small‐cell lung cancer undergoing chemoradiotherapy

Molecular Oncology, EarlyView.
We investigated the impact of concurrent chemoradiotherapy (CRT) on the gut microbiota in patients with locally advanced non‐small‐cell lung cancer. Overall gut microbiota composition remained largely stable throughout CRT while antibiotic exposure may influence microbial diversity.
Hanne Marte Nymoen, Zhi Zhao, Henrik Horndalsveen, Maria Moksnes Bjaanæs, Bjørn Henning Grønberg, Tarje Halvorsen, Tesfaye Madebo, Marianne Aanerud, Jussi Koivunen, Kersti Oselin, Saulius Cicenas, Nina Helbekkmo, Jarkko Ahvonen, Maria Silvoniemi, Tine Norman Alver, Tonje Dalen, Åsa Kristina Öjlert, Saima Jamil Farooqi, Åslaug Helland, Vilde Drageset Haakensen   +19 more
wiley   +1 more source

Important biological features

, 2016
Donna J. Clemons, Jennifer L. Seeman
openaire   +1 more source

Personalized machine learning models for noninvasive hypoglycemia detection in people with type 1 diabetes using a smartwatch: Insights into feature importance during waking and sleeping times. [PDF]

PLoS One
Mohamed YM, Mancera J, Brandenberg A, Fischli S, Havranek MM.   +4 more
europepmc   +1 more source

Extracellular vesicle lipidomics liquid biopsy reveals systemic and tumor microenvironment metabolic reprogramming in ovarian cancer

Molecular Oncology, EarlyView.
Extracellular vesicle (EV) lipidomic profiling of plasma and ascites from patients with high‐grade serous ovarian cancer and of ovarian cancer cell lines reveals enrichment of triglycerides (TGs), diacylglycerols (DGs), phosphatidylcholine (PCs), sphingomyelins (SMs), reflecting tumor metabolic reprogramming.
Shikha Rani, Dominic Guanzon, Andrew Lai, Katherin Scholz‐Romero, Sarah Reed, Edita Ritmejeryte, Rohan Lourie, Naven Chetty, Kaltin Ferguson, Carlos Salomon   +9 more
wiley   +1 more source

Integrating cat boost algorithm with triangulating feature importance to predict survival outcome in recurrent cervical cancer. [PDF]

Sci Rep
Geeitha S, Ravishankar K, Cho J, Easwaramoorthy SV.   +3 more
europepmc   +1 more source

A role for eIF5A in translational control of stress‐inducible proteins in multiple myeloma cell lines

Molecular Oncology, EarlyView.
Loss of eIF5A rewires thapsigargin‐mediated endoplasmic reticulum stress responses in multiple myeloma cells by selective translation of mRNA transcripts, consequently dampening thapsigargin‐induced unfolded protein response (UPR) activation and shifting the balance from induction of apoptosis toward cell survival and proliferation.
Demi Both, Ingrid A. M. Derks, Raphaël Vanleyssem, Marine Leclercq, Najla El Hachem, Pierre Close, Eric Eldering, Marco Vincent Haselager   +7 more
wiley   +1 more source

A deep learning feature importance test framework for integrating informative high-dimensional biomarkers to improve disease outcome prediction. [PDF]

Brief Bioinform
Zou B, Xenakis JG, Xiao M, Ribeiro A, Divaris K, Wu D, Zou F.   +6 more
europepmc   +1 more source