找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Innate and Adaptive Immunity in the Tumor Microenvironment; Eitan Yefenof Book 2008 Springer Science+Business Media B.V. 2008 Antigen.Immu

[復制鏈接]
樓主: 老鼠系領帶
31#
發(fā)表于 2025-3-26 23:32:51 | 只看該作者
32#
發(fā)表于 2025-3-27 02:02:53 | 只看該作者
33#
發(fā)表于 2025-3-27 08:56:50 | 只看該作者
34#
發(fā)表于 2025-3-27 13:14:14 | 只看該作者
35#
發(fā)表于 2025-3-27 15:58:10 | 只看該作者
Philipp Beckhove,Volker Schirrmacheringly to use . and . as forms of item constraints in the data mining process. We also use an iterative . approximate mining procedure for uncovering the low frequency but important patterns. We report our experiments in using these algorithms on real-world audit data.
36#
發(fā)表于 2025-3-27 18:39:53 | 只看該作者
37#
發(fā)表于 2025-3-27 22:41:36 | 只看該作者
Benjamin Bonavidaarity between genes is computed using gene ontology information and using Resniks formula, then our results show that we can model the PPI data as a mixture model predicated on the assumption that true protein-protein interactions will have higher support than the false positives in the data. Thus s
38#
發(fā)表于 2025-3-28 03:26:41 | 只看該作者
Silvia Selleri,Sara Deola,Cristiano Rumio,Francesco M. Marincolaarity between genes is computed using gene ontology information and using Resniks formula, then our results show that we can model the PPI data as a mixture model predicated on the assumption that true protein-protein interactions will have higher support than the false positives in the data. Thus s
39#
發(fā)表于 2025-3-28 10:16:53 | 只看該作者
Michal Lotem,Arthur Machlenkin,Shoshana Frankenburg,Tamar Peretzeatures, i.e., protein-protein interactions, signaling domains, domain-domain interactions, and protein functions. The gained results demonstrated that the method was promising to discover new STN and solve other related problems in computational and systems biology from large-scale protein interact
40#
發(fā)表于 2025-3-28 14:03:11 | 只看該作者
Roi Gazit,Ofer Mandelboimrelationship with the existing state-of-the-art unsupervised learning models. However, as a new and developing technology, there are still many interesting open issues remained unsolved and waiting for research from theoretical and algorithmic perspectives.
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-25 13:32
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
永康市| 黑河市| 神农架林区| 台山市| 礼泉县| 无极县| 涟水县| 启东市| 玉环县| 昌黎县| 石楼县| 吴桥县| 越西县| 宁乡县| 姚安县| 南阳市| 上蔡县| 含山县| 绥中县| 南投县| 昌邑市| 汪清县| 镇平县| 聂荣县| 吴旗县| 封开县| 临江市| 潼南县| 峡江县| 兰坪| 兴仁县| 天全县| 林口县| 福海县| 嘉禾县| 荆州市| 鲁山县| 方正县| 三门县| 合肥市| 平果县|