[HTML][HTML] Machine learning applications in cancer prognosis and prediction
Cancer has been characterized as a heterogeneous disease consisting of many different
subtypes. The early diagnosis and prognosis of a cancer type have become a necessity in …
subtypes. The early diagnosis and prognosis of a cancer type have become a necessity in …
Precision medicine and driver mutations: computational methods, functional assays and conformational principles for interpreting cancer drivers
R Nussinov, H Jang, CJ Tsai… - PLoS computational …, 2019 - journals.plos.org
At the root of the so-called precision medicine or precision oncology, which is our focus
here, is the hypothesis that cancer treatment would be considerably better if therapies were …
here, is the hypothesis that cancer treatment would be considerably better if therapies were …
Deephit: A deep learning approach to survival analysis with competing risks
Survival analysis (time-to-event analysis) is widely used in economics and finance,
engineering, medicine and many other areas. A fundamental problem is to understand the …
engineering, medicine and many other areas. A fundamental problem is to understand the …
Predicting cancer-specific vulnerability via data-driven detection of synthetic lethality
L Jerby-Arnon, N Pfetzer, YY Waldman, L McGarry… - Cell, 2014 - cell.com
Synthetic lethality occurs when the inhibition of two genes is lethal while the inhibition of
each single gene is not. It can be harnessed to selectively treat cancer by identifying inactive …
each single gene is not. It can be harnessed to selectively treat cancer by identifying inactive …
TP53 Mutation Spectrum in Breast Cancer Is Subtype Specific and Has Distinct Prognostic Relevance
Purpose: In breast cancer, the TP53 gene is frequently mutated and the mutations have
been associated with poor prognosis. The prognostic impact of the different types of TP53 …
been associated with poor prognosis. The prognostic impact of the different types of TP53 …
Introducing BASE: the Biomes of Australian Soil Environments soil microbial diversity database
Background Microbial inhabitants of soils are important to ecosystem and planetary
functions, yet there are large gaps in our knowledge of their diversity and ecology. The …
functions, yet there are large gaps in our knowledge of their diversity and ecology. The …
Assessing the clinical utility of cancer genomic and proteomic data across tumor types
Molecular profiling of tumors promises to advance the clinical management of cancer, but
the benefits of integrating molecular data with traditional clinical variables have not been …
the benefits of integrating molecular data with traditional clinical variables have not been …
A framework for validating AI in precision medicine: considerations from the European ITFoC consortium
R Tsopra, X Fernandez, C Luchinat… - BMC medical informatics …, 2021 - Springer
Background Artificial intelligence (AI) has the potential to transform our healthcare systems
significantly. New AI technologies based on machine learning approaches should play a key …
significantly. New AI technologies based on machine learning approaches should play a key …
Tools and techniques for computational reproducibility
SR Piccolo, MB Frampton - Gigascience, 2016 - academic.oup.com
When reporting research findings, scientists document the steps they followed so that others
can verify and build upon the research. When those steps have been described in sufficient …
can verify and build upon the research. When those steps have been described in sufficient …
Cancer systems biology: a peek into the future of patient care?
HMJ Werner, GB Mills, PT Ram - Nature reviews Clinical oncology, 2014 - nature.com
Traditionally, scientific research has focused on studying individual events, such as single
mutations, gene function, or the effect that mutating one protein has on a biological …
mutations, gene function, or the effect that mutating one protein has on a biological …