Results 61 to 70 of about 3,398,718 (314)

Random Forest Prediction of IPO Underpricing

Applied Sciences, 2017
The prediction of initial returns on initial public offerings (IPOs) is a complex matter. The independent variables identified in the literature mix strong and weak predictors, their explanatory power is limited, and samples include a sizable number of ...
David Quintana, Yago Sáez, Pedro Isasi
doaj   +1 more source

Prediksi Harga Bitcoin Menggunakan Metode Random Forest

Jurnal Komputer Terapan, 2021
Pada masa pandemic ini, transaksi keuangan virtual mengalami peningkatan tajam. Dikarenakan penyimpanan asset maupun bentuk jual-beli bertransformasi menggunakan layanan digital.
Siti Saadah, Haifa Salsabila
doaj   +1 more source

Banzhaf Random Forests

CoRR, 2015
Random forests are a type of ensemble method which makes predictions by combining the results of several independent trees. However, the theory of random forests has long been outpaced by their application. In this paper, we propose a novel random forests algorithm based on cooperative game theory.
Jianyuan Sun, Guoqiang Zhong 0001, Junyu Dong, Yajuan Cai   +3 more
openaire   +3 more sources

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

Molecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic, Rafael Stroggilos, Mladen Marinkovic, Ana Djuric, Suzana Stojanovic‐Rundic, Radmila Jankovic, Sergi Castellvi‐Bel, Remond J.A. Fijneman, Antonia Vlahou, Jerome Zoidakis, Milena Cavic   +10 more
wiley   +1 more source

Prediction of Employee Attendance Factors Using C4.5 Algorithm, Random Tree, Random Forest

Semesta Teknika, 2020
Research on the performance of workers based on the determination of standard working hours for absences conducted by workers in a certain period.
Riza Fahlapi, Hermanto Hermanto, Antonius Yadi Kuntoro, Lasman Effendi, Ridatu Oca Nitra, Siti Nurlela   +5 more
doaj   +1 more source

Random-effects model forest plots showing the impact of autologous BT on PCa survival after RP.

, 2017
Random-effects model forest plots showing the impact of autologous BT on PCa survival after RP.
Su-Liang Li (3704542), Yun Ye (232429), Xiao-Hua Yuan (3704545)   +2 more
core   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

Random forest variable permutation importance.

, 2021
Random forest variable permutation importance.
Thomas R. Unnasch (7444841), Andrea M. Morrison (11539691), Robert S. Unnasch (11539694), Sean P. Beeman (11539688)   +3 more
core   +1 more source

Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer

Molecular Oncology, EarlyView.
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba, Mark Shacker, Timothy P. Fleming, Michael A. Smith, Ross M. Bremner, Narendra V. Sankpal   +5 more
wiley   +1 more source

Digital soil mapping using machine learning-based methods to predict soil organic carbon in two different districts in the Czech Republic

Soil and Water Research
Soil organic carbon (SOC) is an important soil characteristic as well as a way how to mitigate climate change. Information on its content and spatial distribution is thus crucial.
Shahin Nozari, Mohammad Reza Pahlavan-Rad, Colby Brungard, Brandon Heung, Luboš Borůvka   +4 more
doaj   +1 more source