Results 101 to 110 of about 278,458 (174)

Evolutionary turnover of key amino acids explains conservation of function without conservation of sequence in transcriptional activation domains. [PDF]

PLoS Genet
LeBlanc CJ, Stefani J, Soriano M, Lam AWY, Zintel MA, Kotha SR, Chase EP, Pimentel-Solorio G, Vunnum A, Hu G, Flug KL, Fultineer A, Hummel N, Staller MV.   +13 more
europepmc   +1 more source

Validation of conformal prediction in cervical atypia classification. [PDF]

Sci Rep
Hagos MT, Suutala A, Bychkov D, Kücükel H, von Bahr J, Poceviciute M, Lundin J, Linder N, Lundström C.   +8 more
europepmc   +1 more source

A method for compiling satellite image map geographic objects based on vector map data via deep learning. [PDF]

Sci Rep
Du J, Zeng D, Cai K, Qiu Y.
europepmc   +1 more source

Enhancing early prediction of pathological complete response in breast cancer using attention-based convolutional neural networks in digital pathology. [PDF]

Digit Health
Comes MC, Lupo A, Bozzi A, Fanizzi A, Cirillo A, Nunzio G, Pastena MI, Rizzo A, Guven DC, Vitale E, Zito FA, Bove S, Massafra R.   +12 more
europepmc   +1 more source

Open-source framework for detecting bias and overfitting for large pathology images. [PDF]

PLoS One
Sildnes A, Shvetsov N, Tafavvoghi M, Tran VN, Møllersen K, Busund LR, Kilvær TK, Bongo LA.   +7 more
europepmc   +1 more source

Loop parallelization in source code for internet of things computing using hybrid heuristic algorithm. [PDF]

PLoS One
Arasteh B, Sefati SS, Kusetogullari H, Kiani F, Sorooshian S, Babaee Tirkolaee E.   +5 more
europepmc   +1 more source

A near-complete map of human cytosolic degrons and their relevance for disease. [PDF]

Sci Adv
Voutsinos V, Johansson KE, Larsen FB, Grønbæk-Thygesen M, Jonsson N, Holm-Olesen E, Tesei G, Stein A, Fowler DM, Lindorff-Larsen K, Hartmann-Petersen R.   +10 more
europepmc   +1 more source

Dynamic Control of DNA Origami Self-Assembly by Transcriptional Modules. [PDF]

J Am Chem Soc
Zhang L, Sha R, Bershadsky L, Chaikin PM.   +3 more
europepmc   +1 more source

Deep learning-based assessment of PD-L1 expression in NSCLC predicts outcome for patients treated with anti-PD-1 immunotherapy. [PDF]

Front Immunol
Peroz M, Roussot N, Ilie A, Rageot D, Derangere V, Truntzer C, Ghiringhelli F.   +6 more
europepmc   +1 more source

Expanding DNA alphabet adds a previously unknown dimension to nanostructures. [PDF]

Sci Adv
Zhou K, Hoshika S, Cheng J, Lin C, Benner S, Ke Y.   +5 more
europepmc   +1 more source