Results 241 to 250 of about 9,911,867 (381)

QTL analysis and candidate gene prediction for seed density per silique by QTL-seq and RNA-seq in spring Brassica napus L. [PDF]

PLoS One, 2023
Xing X, Liu H, Ye J, Yao Y, Li K, Li Y, Du D.   +6 more
europepmc   +1 more source

On the Use of MDL Principle in Gene Expression Prediction

, 2001
Ioan Tăbuş, Jaakko Astola
openalex   +1 more source

Prediction of temporal gene expression [PDF]

, 2002
Edda Klipp, Reinhart Heinrich, Hermann‐Georg Holzhütter   +2 more
openalex   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Altered expression spectrum and target gene prediction of tRNA-derived small RNAs in clear cell renal cell carcinoma. [PDF]

BMC Cancer
Liu S, Cao H, Chen B, Jiang L, Nueraihemaiti Y, Gao Y, Zhan X, Chen Y, Zhou H, Liu D, Chen H, Xu X, Xie T, Mei W, Dong Y, Xu Y.   +15 more
europepmc   +1 more source

Disease gene prediction with privileged information and heteroscedastic dropout. [PDF]

Bioinformatics, 2021
Shu J, Li Y, Wang S, Xi B, Ma J.
europepmc   +1 more source

Prediction and optimization of gene transfection and drug delivery by electroporation

, 2001
PJ Canatella, Mark R. Prausnitz
openalex   +1 more source

Current methods of gene prediction, their strengths and weaknesses [PDF]

, 2002
Catherine Mathé, Marie‐France Sagot, Thomas Schiex, Pierre Rouzé   +3 more
openalex   +1 more source

Predictors of response and rational combinations for the novel MCL‐1 inhibitor MIK665 in acute myeloid leukemia

Molecular Oncology, EarlyView.
This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad, Rhiannon Newman, Elmira Khabusheva, Sofia Aakko, Eric Durand, Mahesh Tambe, Heikki Kuusanmäki, Alun Parsons, Juho J. Miettinen, Komal Kumar Javarappa, Ezgi June Olgac, Nemo Ikonen, Mika Kontro, Kimmo Porkka, Heiko Maacke, Janghee Woo, Ensar Halilovic, Caroline A. Heckman   +17 more
wiley   +1 more source

Genomic language models (gLMs) decode bacterial genomes for improved gene prediction and translation initiation site identification. [PDF]

Brief Bioinform
Akotenou G, El Allali A.
europepmc   +1 more source