Results 81 to 90 of about 2,430,102 (287)
Computational challenges of systems biology [PDF]
, 2004 Progress in the study of biological systems such as the heart, brain, and liver will require computer scientists to work closely with life scientists and mathematicians.
Finkelstein, A. +6 more
core
Tumor mutational burden as a determinant of metastatic dissemination patterns
Molecular Oncology, EarlyView.This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal +4 more
wiley +1 more source
International Journal of Communication, 2019 This article reviews the opportunities and challenges for computational research methods in the field of communication. Among the social sciences, communication stands out as a discipline with a relatively low-profile institutionalized focus on the in ...
Martin Hilbert +15 more
doaj +2 more sources
Molecular Oncology, EarlyView.To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
Forecasting high-impact research topics via machine learning on evolving knowledge graphs
Machine Learning: Science and TechnologyThe exponential growth in scientific publications poses a severe challenge for human researchers. It forces attention to more narrow sub-fields, which makes it challenging to discover new impactful research ideas and collaborations outside one’s own ...
Xuemei Gu, Mario Krenn
doaj +1 more source
Computational Science: An Intermingling of Science, Mathematics, and Computer Science [PDF]
, 2006 The development of a full undergraduate program in computational science, with both a broad-swath academic plan and four specialization plans, one each in biochemistry, chemistry, earth sciences, and physics, is described. The reasons behind the establishment of the program are presented, and the evolution of the program over the past five years is ...
openaire +1 more source
Computational Visualistics: Dealing with Pictures in Computer Science [PDF]
, 2005 Building blocks from many disciplines have to be integrated into a general science of images. Computational visualistics has been formed as a contributing field embracing all aspects of dealing with images computationally.
Schirra, Dr Jörg R.J.
core
Molecular Oncology, EarlyView.Targeted therapy was evaluated in SHH medulloblastoma using neuroepithelial stem cell (NES) and tumor‐derived NES‐like (tNES) models in 2D monolayers and 3D spheroids. PI3K, AKT, and CDK4/6 inhibitors had minimal effects in NES but markedly reduced viability and growth and induced apoptosis in tNES cells, revealing distinct therapeutic vulnerabilities.
Monika Lukoseviciute +4 more
wiley +1 more source
Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics
FEBS Open Bio, EarlyView.Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini +2 more
wiley +1 more source