Results 141 to 150 of about 6,963,647 (337)

Standardized Data Structures in Rare Diseases: CDISC User Guides for Duchenne Muscular Dystrophy and Huntington's Disease. [PDF]

Clin Transl Sci, 2021
Mullin AP, Corey D, Turner EC, Liwski R, Olson D, Burton J, Sivakumaran S, Hudson LD, Romero K, Stephenson DT, Larkindale J.   +10 more
europepmc   +1 more source

Data for: Reconstructing Cosmological Initial Conditions from Late-Time Structure with Convolutional Neural Networks

, 2023
Christopher J. Shallue, Daniel J. Eisenstein   +1 more
openalex   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

An Algorithm for the Construction of Bayesian Network Structures from\n Data [PDF]

, 2013
Moninder Singh, Marco Valtorta
openalex   +1 more source

Raw Data for: "Inorganic synthesis-structure maps in zeolites with machine learning and crystallographic distances"

, 2023
Daniel Schwalbe‐Koda
openalex   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

Data used in Gairin et al. Role of natural and man-made structures as nurseries for coral reef fish

, 2022
Emma Gairin
openalex   +1 more source

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira, Anna Skwarska, Karolina Chwialkowska, Agnieszka Ostrowska, Gabriela Sokolowska, Anna Zeller, Anna Erol, Andrzej Eljaszewicz, Bartosz Hanczaruk, Anna Michalska‐Falkowska, Agnieszka Tarasik, Joanna Reszec‐Gielazyn, Pawel Knapp, Marcin Moniuszko, Adam Kretowski   +14 more
wiley   +1 more source

Lock-free Concurrent Data Structures

, 2013
Concurrent data structures are the data sharing side of parallel programming. Data structures give the means to the program to store data, but also provide operations to the program to access and manipulate these data.
Cederman, Daniel, Gidenstam, Anders, Ha, Phuong, Papatriantafilou, Marina, Sundell, Håkan, Tsigas, Philippas   +5 more
core  

Structured Matrix Completion with Applications to Genomic Data Integration

, 2015
Tianxi Cai, Tommaso Cai, Anru R. Zhang
openalex   +2 more sources